diff --git a/CLAUDE.md b/CLAUDE.md
index bb3471f..652ff33 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -9,19 +9,21 @@ This is a **Claude Code skills repository**. Skills are reusable tools that exte
 ## Skill Structure
 
 Each skill follows this convention:
-- **`<skill-name>/SKILL.md`** — Required. Contains YAML frontmatter (`name`, `description`) and usage documentation. This is the entry point Claude Code reads when invoking the skill.
-- **`<skill-name>/scripts/`** — Implementation scripts (bash). Scripts use `set -euo pipefail` and the `die()` pattern for error handling.
+- **`<skill-name>/SKILL.md`** — Required. YAML frontmatter (`name`, `description`, …) MUST start on line 1. This is the entry point Claude Code reads when invoking the skill.
+- **`<skill-name>/CLAUDE.md`** — Optional. Maintainer / implementation notes kept out of the user-facing SKILL.md to reduce per-invocation token cost.
+- **`<skill-name>/scripts/`** — Optional. Implementation scripts (typically bash). Scripts use `set -euo pipefail` and the `die()` pattern for error handling. Invoke scripts via `bash scripts/<name>.sh` so they work even when the executable bit did not survive deployment — but also `chmod +x` them on commit.
+- **`<skill-name>/references/`** — Optional. Supporting files such as YAML templates or long-form reference documentation.
 
 ## Current Skills
 
-- **`github-app-token`** — Documents how to generate short-lived GitHub App installation access tokens. Requires `GITHUB_APP_ID`, `GITHUB_APP_INSTALLATION_ID`, and `GITHUB_APP_PEM_FILE` env vars. Inline commands only — no bundled scripts.
-- **`playwright-ephemeral`** — Provisions ephemeral Playwright MCP browser sessions as Kubernetes Jobs for E2E testing. Creates a Job + Service pair in a dedicated namespace, waits for readiness, and returns the MCP endpoint URL. Requires `kubectl` and appropriate RBAC.
-- **`shannon`** — Autonomous AI pentester for web apps and APIs. Wraps the Docker-based Shannon pentester as a `/shannon` slash command. Requires `docker`, `git`, and an AI API key (`ANTHROPIC_API_KEY` or equivalent).
+- **`github-app-token`** — Generates a short-lived GitHub App installation access token, writes it to `.gh-token` under `$GH_CONFIG_DIR` (preferred) or `$AGENT_HOME` (fallback), and authenticates the `gh` CLI. Requires `GITHUB_APP_ID`, `GITHUB_APP_INSTALLATION_ID`, and one of `GITHUB_APP_PEM` (inline PEM) or `GITHUB_APP_PEM_FILE` (path). Depends on `openssl`, `curl`, `jq`, `gh`.
+- **`minimax-image-generation`** — Generates images from MiniMax's `image-01` model via `/v1/image_generation`. Requires `MINIMAX_API_KEY`; `MINIMAX_API_BASE_URL` is optional. Depends on `curl`, `jq`, `base64`.
 
 ## Key Patterns
 
-- Scripts are pure bash with no external dependencies beyond standard Unix tools (`openssl`, `curl`, `jq`, `kubectl`, `docker`).
-- The `die()` function prints errors to stderr and exits non-zero.
+- Standard Unix tools only (`openssl`, `curl`, `jq`, `base64`). Any skill-specific runtime requirement (e.g. `gh`) is declared in that skill's `SKILL.md`.
+- `die()` prints errors to stderr and exits non-zero.
+- Scripts validate required env vars up front and fail loudly rather than defaulting to `mktemp`/`/tmp` for anything secret.
 
 ## No Build/Test/Lint System
 
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..46d3e82
--- /dev/null
+++ b/README.md
@@ -0,0 +1,31 @@
+# Skills
+
+A collection of Claude Code skills — reusable tools that extend Claude Code's capabilities. Each skill lives in its own top-level directory and ships a `SKILL.md` (the entry point Claude Code reads when invoking the skill) plus any supporting scripts or references.
+
+## Available skills
+
+| Skill | What it does |
+|---|---|
+| [`github-app-token`](./github-app-token) | Generate a short-lived GitHub App installation access token and authenticate the `gh` CLI with it. |
+| [`minimax-image-generation`](./minimax-image-generation) | Generate images from MiniMax's `image-01` model via the `/v1/image_generation` endpoint. |
+
+## Skill layout
+
+```
+<skill-name>/
+├── SKILL.md              # Required. YAML frontmatter (name, description) + usage docs.
+├── CLAUDE.md             # Optional. Maintainer / implementation notes.
+└── scripts/              # Optional. Bash or other implementation scripts.
+```
+
+Scripts use `set -euo pipefail` and a shared `die()` pattern for error handling. Scripts are invoked via `bash scripts/<name>.sh` (not `./scripts/<name>.sh`) so that they work even when the executable bit did not survive deployment.
+
+## No build / test / lint tooling
+
+There is no centralized build, test, or lint system. Each skill is self-contained and pulls in only standard Unix tools as declared in its `SKILL.md`.
+
+## Contributing
+
+- New skills get a new top-level directory with at minimum a `SKILL.md` that starts with YAML frontmatter on line 1.
+- Keep `SKILL.md` focused on decision flow + user-facing usage. Move implementation details, API references, and rarely-needed tables into `CLAUDE.md` or a `references/` subdirectory to keep per-invocation token cost low.
+- Add a row to the table above.
diff --git a/github-app-token/SKILL.md b/github-app-token/SKILL.md
index 553f726..8e07432 100644
--- a/github-app-token/SKILL.md
+++ b/github-app-token/SKILL.md
@@ -24,6 +24,6 @@ Generate a short-lived GitHub App installation token and authenticate `gh`.
 bash github-app-token/scripts/generate-token.sh
 ```
 
-The script validates env vars, generates a JWT, exchanges it for an installation token, writes the token to `$AGENT_HOME/.gh-token`, and runs `gh auth login`. On success it prints a confirmation line. On failure it exits non-zero with a descriptive error.
+The script validates env vars, generates a JWT, exchanges it for an installation token, writes the token to `.gh-token` inside `$GH_CONFIG_DIR` (preferred) or `$AGENT_HOME` (fallback), and runs `gh auth login`. If neither `GH_CONFIG_DIR` nor `AGENT_HOME` is set the script exits non-zero rather than silently writing the token to a default location. On success it prints a confirmation line. On failure it exits non-zero with a descriptive error.
 
 Requires `openssl`, `curl`, `jq`, and `gh`.
diff --git a/github-app-token/scripts/generate-token.sh b/github-app-token/scripts/generate-token.sh
index d039c09..68b21d1 100755
--- a/github-app-token/scripts/generate-token.sh
+++ b/github-app-token/scripts/generate-token.sh
@@ -49,9 +49,20 @@ RESPONSE=$(curl -sf -X POST \
 TOKEN=$(echo "$RESPONSE" | jq -r '.token // empty')
 [[ -z "$TOKEN" ]] && die "No token in GitHub response: $RESPONSE"
 
-# --- Write token to file ---
-GH_TOKEN_FILE="${AGENT_HOME:+${AGENT_HOME}/.gh-token}"
-GH_TOKEN_FILE="${GH_TOKEN_FILE:-$(mktemp)}"
+# --- Resolve token file location ---
+# Prefer GH_CONFIG_DIR (so the token lives alongside the per-agent gh config),
+# fall back to AGENT_HOME, fail loudly if neither is set rather than silently
+# writing to /tmp and leaking the token.
+if [[ -n "${GH_CONFIG_DIR:-}" ]]; then
+  GH_TOKEN_DIR="$GH_CONFIG_DIR"
+elif [[ -n "${AGENT_HOME:-}" ]]; then
+  GH_TOKEN_DIR="$AGENT_HOME"
+else
+  die "Neither GH_CONFIG_DIR nor AGENT_HOME is set — refusing to write the token to a default location"
+fi
+
+mkdir -p "$GH_TOKEN_DIR"
+GH_TOKEN_FILE="$GH_TOKEN_DIR/.gh-token"
 
 printf '%s' "$TOKEN" > "$GH_TOKEN_FILE"
 chmod 600 "$GH_TOKEN_FILE"
diff --git a/minimax-image-generation/CLAUDE.md b/minimax-image-generation/CLAUDE.md
index 619cc33..16ba8ea 100644
--- a/minimax-image-generation/CLAUDE.md
+++ b/minimax-image-generation/CLAUDE.md
@@ -1,62 +1,32 @@
 # MiniMax Image Generation — Implementation Notes
 
+User-facing docs (aspect ratios, usage, env vars) live in `SKILL.md`. This file is for maintenance notes only.
+
 ## API Reference
 
 - **Endpoint**: `POST /v1/image_generation`
 - **Base URL**: `https://api.minimax.io` (international) or `https://api.minimaxi.com` (China)
 - **Auth**: `Authorization: Bearer <MINIMAX_API_KEY>`
 - **Model**: `image-01`
-- **Response**: JSON with `data.image_base64[]` array
-
-## Example API Call
-
-```bash
-curl -X POST "https://api.minimax.io/v1/image_generation" \
-  -H "Authorization: Bearer ${MINIMAX_API_KEY}" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "model": "image-01",
-    "prompt": "men Dressing in white t shirt, full-body stand front view image :25, outdoor",
-    "aspect_ratio": "16:9",
-    "num_images": 1,
-    "response_format": "base64"
-  }'
-```
+- **Response**: JSON with `data.image_base64[]` array; errors surface in `base_resp.status_code` / `base_resp.status_msg`.
 
 ## Response Format
 
 ```json
 {
-  "data": {
-    "image_base64": ["<base64-encoded-jpeg>"]
-  },
+  "data": { "image_base64": ["<base64-encoded-jpeg>"] },
   "model": "image-01",
-  "request_id": "<id>"
+  "request_id": "<id>",
+  "base_resp": { "status_code": 0, "status_msg": "success" }
 }
 ```
 
-## Aspect Ratios
-
-| Ratio | Dimensions | Use Case |
-|-------|-----------|----------|
-| `16:9` | 1920×1080 | Desktop wallpaper, banners |
-| `1:1` | 1024×1024 | Social media, profile images |
-| `9:16` | 1080×1920 | Mobile wallpaper, stories |
-| `4:3` | 1024×768 | Presentations |
-| `3:4` | 768×1024 | Posters, portraits |
-
-## Dependencies
-
-- `curl` — HTTP requests
-- `jq` — JSON parsing
-- `base64` — Decode image data (coreutils)
-
-All three are standard Unix tools. No Python or Node required.
-
 ## File Structure
 
 ```
 minimax-image-generation/
-├── SKILL.md          # Skill definition + user-facing docs
-└── CLAUDE.md         # These implementation notes
+├── SKILL.md              # Skill definition + user-facing docs
+├── CLAUDE.md             # These implementation notes
+└── scripts/
+    └── generate.sh       # Generate images (invoke via `bash scripts/generate.sh …`)
 ```
diff --git a/minimax-image-generation/SKILL.md b/minimax-image-generation/SKILL.md
index 6144238..ff9112d 100644
--- a/minimax-image-generation/SKILL.md
+++ b/minimax-image-generation/SKILL.md
@@ -1,16 +1,3 @@
-# MiniMax Image Generation Skill
-
-Claude Code skill for generating images via the MiniMax API.
-Wraps the MiniMax `/v1/image_generation` endpoint as a `/minimax-image-generation` slash command.
-
-## Structure
-- `SKILL.md` — skill definition + usage documentation
-- `CLAUDE.md` — implementation notes
-
-## Rules
-- Set `MINIMAX_API_KEY` env var before use
-- Images are written to disk as `output-0.jpeg`, `output-1.jpeg`, etc.
-
 ---
 name: minimax-image-generation
 version: "1.0.0"
@@ -48,57 +35,31 @@ metadata:
 
 ```bash
 export MINIMAX_API_KEY="your-minimax-api-key"
-/minimax-image-generation "a cat wearing a spacesuit, cinematic photography"
+bash minimax-image-generation/scripts/generate.sh "a cat wearing a spacesuit, cinematic photography"
 ```
 
----
+Always invoke the script via `bash scripts/generate.sh …` (or `bash minimax-image-generation/scripts/generate.sh …` when running from the repo root). Do **not** rely on the executable bit — invoking through `bash` is the supported entry point, and works even when the file permissions were not preserved during deployment.
 
 ## Parse User Intent
 
 Extract from the user's input:
 
-1. **PROMPT**: The image description (required)
-2. **ASPECT_RATIO**: `16:9` (default), `1:1`, `9:16`, `4:3`, `3:4`
+1. **PROMPT**: The image description (required, positional argument)
+2. **ASPECT_RATIO**: `16:9` (default), `1:1`, `9:16`, `4:3`, `3:4` — via `--aspect-ratio=<ratio>`
+3. **COUNT**: number of images to generate (default `1`) — via `--count=<N>`
+4. **OUTPUT_PREFIX**: filename stem (default `output`) — via `--output=<stem>`
 
----
-
-## API Call Example
+## Script Usage
 
 ```bash
-# Verify credentials
-if [ -z "${MINIMAX_API_KEY:-}" ]; then
-  echo "ERROR: MINIMAX_API_KEY is not set."
-  exit 1
-fi
-
-API_BASE_URL="${MINIMAX_API_BASE_URL:-https://api.minimax.io}"
-PROMPT="<your prompt here>"
-ASPECT_RATIO="16:9"
-
-# Call the API
-response=$(curl -s -X POST "${API_BASE_URL}/v1/image_generation" \
-  -H "Authorization: Bearer ${MINIMAX_API_KEY}" \
-  -H "Content-Type: application/json" \
-  -d "{
-    \"model\": \"image-01\",
-    \"prompt\": \"${PROMPT}\",
-    \"aspect_ratio\": \"${ASPECT_RATIO}\",
-    \"response_format\": \"base64\"
-  }")
-
-# Decode and save
-images=$(echo "$response" | jq -r '.data.image_base64[]')
-idx=0
-for image_b64 in $images; do
-  echo "$image_b64" | base64 -d > "output-${idx}.jpeg"
-  echo "Saved: output-${idx}.jpeg"
-  idx=$((idx + 1))
-done
+bash minimax-image-generation/scripts/generate.sh \
+  "a sunset over the ocean, cinematic" \
+  --aspect-ratio=16:9 \
+  --count=1 \
+  --output=sunset
 ```
 
-**Replace `<your prompt here>` with the user's image description.**
-
----
+The script writes `<output>-0.jpeg`, `<output>-1.jpeg`, … to the current working directory. On failure it exits non-zero with a descriptive error.
 
 ## Aspect Ratio Guide
 
@@ -110,28 +71,13 @@ done
 | `4:3` | Standard — presentations, blog images |
 | `3:4` | Portrait standard — posters, portraits |
 
----
-
-## Configuration Reference
-
-### Environment Variables
+## Environment Variables
 
 | Variable | Required | Description |
 |----------|----------|-------------|
 | `MINIMAX_API_KEY` | Yes | Your MiniMax API key |
 | `MINIMAX_API_BASE_URL` | No | API base URL (default: `https://api.minimax.io`) |
 
-### API Parameters
-
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `model` | string | `image-01` | Model to use |
-| `prompt` | string | required | Image description |
-| `aspect_ratio` | string | `16:9` | Image aspect ratio |
-| `response_format` | string | `base64` | Output format |
-
----
-
 ## Example Output
 
 ```
diff --git a/minimax-image-generation/scripts/generate.sh b/minimax-image-generation/scripts/generate.sh
new file mode 100755
index 0000000..09026ff
--- /dev/null
+++ b/minimax-image-generation/scripts/generate.sh
@@ -0,0 +1,83 @@
+#!/usr/bin/env bash
+# generate.sh — Generate images via MiniMax /v1/image_generation.
+# Usage: bash scripts/generate.sh "<prompt>" [--aspect-ratio=16:9] [--count=1] [--output=output]
+set -euo pipefail
+
+die() { echo "ERROR: $*" >&2; exit 1; }
+
+# --- Dependencies ---
+for cmd in curl jq base64; do
+  command -v "$cmd" >/dev/null 2>&1 || die "Required command not found: $cmd"
+done
+
+# --- Credentials ---
+[[ -z "${MINIMAX_API_KEY:-}" ]] && die "MINIMAX_API_KEY is not set"
+API_BASE_URL="${MINIMAX_API_BASE_URL:-https://api.minimax.io}"
+
+# --- Parse args ---
+PROMPT=""
+ASPECT_RATIO="16:9"
+COUNT=1
+OUTPUT_PREFIX="output"
+
+for arg in "$@"; do
+  case "$arg" in
+    --aspect-ratio=*) ASPECT_RATIO="${arg#*=}" ;;
+    --count=*)        COUNT="${arg#*=}" ;;
+    --output=*)       OUTPUT_PREFIX="${arg#*=}" ;;
+    --*)              die "Unknown flag: $arg" ;;
+    *)                if [[ -z "$PROMPT" ]]; then PROMPT="$arg"; else die "Unexpected positional argument: $arg"; fi ;;
+  esac
+done
+
+[[ -z "$PROMPT" ]] && die "Usage: bash scripts/generate.sh \"<prompt>\" [--aspect-ratio=16:9] [--count=1] [--output=output]"
+
+case "$ASPECT_RATIO" in
+  16:9|1:1|9:16|4:3|3:4) ;;
+  *) die "Unsupported aspect ratio: $ASPECT_RATIO (valid: 16:9, 1:1, 9:16, 4:3, 3:4)" ;;
+esac
+
+if ! [[ "$COUNT" =~ ^[0-9]+$ ]] || (( COUNT < 1 )); then
+  die "Invalid --count: $COUNT (must be a positive integer)"
+fi
+
+echo "🎨 MiniMax Image Generation" >&2
+echo "├─ Prompt: \"$PROMPT\"" >&2
+echo "├─ Aspect ratio: $ASPECT_RATIO" >&2
+echo "├─ Count: $COUNT" >&2
+echo "└─ Model: image-01" >&2
+echo "" >&2
+
+# --- Build JSON payload safely (jq handles escaping) ---
+PAYLOAD=$(jq -n \
+  --arg prompt "$PROMPT" \
+  --arg ratio "$ASPECT_RATIO" \
+  --argjson n "$COUNT" \
+  '{model:"image-01", prompt:$prompt, aspect_ratio:$ratio, num_images:$n, response_format:"base64"}')
+
+# --- Call API ---
+RESPONSE=$(curl -sS -X POST "${API_BASE_URL}/v1/image_generation" \
+  -H "Authorization: Bearer ${MINIMAX_API_KEY}" \
+  -H "Content-Type: application/json" \
+  -d "$PAYLOAD") || die "MiniMax API request failed"
+
+# --- Check for API error ---
+ERR=$(echo "$RESPONSE" | jq -r '.base_resp.status_msg // empty')
+CODE=$(echo "$RESPONSE" | jq -r '.base_resp.status_code // 0')
+if [[ "$CODE" != "0" && -n "$ERR" ]]; then
+  die "MiniMax API error (code=$CODE): $ERR"
+fi
+
+# --- Decode and save ---
+COUNT_SAVED=0
+while IFS= read -r image_b64; do
+  [[ -z "$image_b64" ]] && continue
+  OUT="${OUTPUT_PREFIX}-${COUNT_SAVED}.jpeg"
+  echo "$image_b64" | base64 -d > "$OUT" || die "Failed to decode image $COUNT_SAVED"
+  echo "Saved: $OUT" >&2
+  COUNT_SAVED=$((COUNT_SAVED + 1))
+done < <(echo "$RESPONSE" | jq -r '.data.image_base64[]?')
+
+(( COUNT_SAVED == 0 )) && die "No images returned: $RESPONSE"
+
+echo "Done." >&2
diff --git a/shannon/CLAUDE.md b/shannon/CLAUDE.md
deleted file mode 100644
index 8981c4a..0000000
--- a/shannon/CLAUDE.md
+++ /dev/null
@@ -1,19 +0,0 @@
-# Shannon Skill
-
-Claude Code skill for autonomous AI pentesting via Shannon.
-Wraps the Docker-based Shannon pentester as a `/shannon` slash command.
-
-## Structure
-- `SKILL.md` — skill definition (deployed to ~/.claude/skills/shannon/)
-- `scripts/setup-shannon.sh` — installer/updater for Shannon
-- `scripts/sync.sh` — deploy to ~/.claude, ~/.agents, ~/.codex
-
-## Commands
-```bash
-bash scripts/sync.sh  # Deploy to all skill locations
-```
-
-## Rules
-- ALWAYS confirm authorization before running pentests
-- NEVER target production systems
-- After edits: run `bash scripts/sync.sh` to deploy
diff --git a/shannon/SKILL.md b/shannon/SKILL.md
deleted file mode 100644
index c37b669..0000000
--- a/shannon/SKILL.md
+++ /dev/null
@@ -1,536 +0,0 @@
----
-name: shannon
-version: "1.0.0"
-description: "Autonomous AI pentester for web apps and APIs. Run white-box security assessments with Shannon — analyzes source code, identifies attack vectors, and executes real exploits to prove vulnerabilities. Triggered by 'shannon', 'pentest', 'security audit', 'vuln scan'."
-argument-hint: 'shannon http://localhost:3000 myapp, shannon --workspace=audit1 http://staging.example.com myrepo'
-allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
-homepage: https://github.com/KeygraphHQ/shannon
-repository: https://github.com/KeygraphHQ/shannon
-author: KeygraphHQ
-license: AGPL-3.0
-user-invocable: true
-metadata:
-  openclaw:
-    emoji: "🔐"
-    category: "security"
-    requires:
-      env:
-        - ANTHROPIC_API_KEY
-      optionalEnv:
-        - ANTHROPIC_AUTH_TOKEN
-        - ANTHROPIC_BASE_URL
-        - ANTHROPIC_MODEL
-        - ANTHROPIC_SMALL_FAST_MODEL
-        - CLAUDE_CODE_OAUTH_TOKEN
-        - CLAUDE_CODE_USE_BEDROCK
-        - CLAUDE_CODE_USE_VERTEX
-        - AWS_REGION
-        - AWS_ACCESS_KEY_ID
-        - AWS_SECRET_ACCESS_KEY
-      bins:
-        - docker
-        - git
-    primaryEnv: ANTHROPIC_API_KEY
-    files:
-      - "scripts/*"
-    tags:
-      - security
-      - pentesting
-      - pentest
-      - vulnerability
-      - exploit
-      - owasp
-      - xss
-      - sqli
-      - ssrf
-      - authentication
-      - authorization
-      - white-box
-      - appsec
----
-
-# Shannon: Autonomous AI Pentester for Web Apps & APIs
-
-> **Permissions overview:** This skill orchestrates Shannon, a Docker-based pentesting tool that actively executes attacks against a target application. It clones/updates the Shannon repo locally, runs Docker containers, and reads pentest reports. **Shannon performs real exploits — only run against apps you own or have explicit written authorization to test.** Never run against production systems.
-
-Shannon analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production. 96.15% exploit success rate on the XBOW security benchmark. Covers OWASP Top 10: Injection, XSS, SSRF, Broken Auth, Broken AuthZ, and more.
-
----
-
-## CRITICAL: Safety Checks (ALWAYS run first)
-
-Before doing ANYTHING, you MUST confirm:
-
-1. **Authorization**: Ask the user — "Do you have explicit authorization to pentest this target?" If they say no or are unsure, STOP and explain they need written permission from the system owner.
-2. **Environment**: Confirm the target is a local, staging, or sandboxed environment — NEVER production.
-3. **Scope**: Clarify what they want tested (full pentest vs specific category).
-
-```
-⚠️  Shannon executes REAL ATTACKS with mutative effects.
-├─ Only run on systems you OWN or have WRITTEN AUTHORIZATION to test
-├─ Never target production environments
-├─ Results require human review — LLM output may contain hallucinations
-└─ You are responsible for complying with all applicable laws
-```
-
-Display this warning BEFORE every pentest run. If the user has already confirmed authorization in this session, a brief reminder suffices.
-
----
-
-## Parse User Intent
-
-Extract from the user's input:
-
-1. **TARGET_URL**: The URL to pentest (e.g., `http://localhost:3000`, `http://staging.example.com`)
-2. **REPO_NAME**: The source code folder name (placed in `./repos/` inside Shannon)
-3. **SCOPE**: Full pentest (default) or specific categories (injection, xss, ssrf, auth, authz)
-4. **WORKSPACE**: Named workspace for resume capability (optional)
-5. **CONFIG**: Custom YAML config path (optional, for auth flows, focus/avoid rules)
-
-Common invocation patterns:
-- `/shannon http://localhost:3000 myapp` → Full pentest of local app
-- `/shannon --workspace=audit1 http://staging.example.com backend-api` → Named workspace for resuming
-- `/shannon --scope=xss,injection http://localhost:8080 frontend` → Targeted categories
-- `/shannon status` → Check running pentests
-- `/shannon results` → Show latest report
-- `/shannon stop` → Stop running pentest
-
-Display parsed intent:
-```
-🔐 Shannon Pentest
-├─ Target: {TARGET_URL}
-├─ Source: repos/{REPO_NAME}
-├─ Scope: {SCOPE or "Full (all 5 OWASP categories)"}
-├─ Workspace: {WORKSPACE or "auto-generated"}
-└─ Config: {CONFIG or "default"}
-
-Estimated runtime: 1–1.5 hours │ Estimated cost: ~$50 (Claude Sonnet)
-```
-
----
-
-## Step 0: Ensure Shannon is Installed
-
-Check if Shannon is cloned locally:
-
-```bash
-SHANNON_HOME="${SHANNON_HOME:-$HOME/shannon}"
-
-if [ -d "$SHANNON_HOME" ] && [ -f "$SHANNON_HOME/shannon" ]; then
-  echo "Shannon found at $SHANNON_HOME"
-  cd "$SHANNON_HOME" && git pull --ff-only 2>/dev/null || true
-else
-  echo "Shannon not found. Cloning..."
-  git clone https://github.com/KeygraphHQ/shannon.git "$SHANNON_HOME"
-fi
-
-# Verify Docker is available
-if command -v docker &>/dev/null; then
-  echo "Docker: $(docker --version)"
-else
-  echo "ERROR: Docker is required. Install Docker Desktop: https://docker.com/products/docker-desktop"
-  exit 1
-fi
-```
-
-If Shannon is not installed, clone it and inform the user. If Docker is missing, stop and tell them to install it.
-
-**SHANNON_HOME** defaults to `~/shannon`. Users can override with `SHANNON_HOME` env var.
-
----
-
-## Step 1: Prepare Source Code
-
-Shannon needs the target's source code in `$SHANNON_HOME/repos/{REPO_NAME}/`.
-
-Ask the user where their source code is:
-
-```bash
-# If user provides a local path
-REPO_PATH="/path/to/their/source"
-REPO_NAME="myapp"
-
-# Create symlink or copy into Shannon's repos directory
-mkdir -p "$SHANNON_HOME/repos"
-if [ ! -d "$SHANNON_HOME/repos/$REPO_NAME" ]; then
-  ln -s "$(realpath "$REPO_PATH")" "$SHANNON_HOME/repos/$REPO_NAME"
-  echo "Linked $REPO_PATH → repos/$REPO_NAME"
-fi
-```
-
-If the user provides a GitHub URL instead:
-```bash
-cd "$SHANNON_HOME/repos"
-git clone "$GITHUB_URL" "$REPO_NAME"
-```
-
----
-
-## Step 2: Configure Authentication (if needed)
-
-If the target requires login, help the user create a YAML config:
-
-```yaml
-# $SHANNON_HOME/configs/target-config.yaml
-authentication:
-  type: form            # "form" or "sso"
-  login_url: "http://localhost:3000/login"
-  credentials:
-    username: "admin"
-    password: "password123"
-  flow: "Navigate to login page, enter username and password, click Sign In"
-  success_condition:
-    url_contains: "/dashboard"
-
-rules:
-  avoid:
-    - "/logout"
-    - "/admin/delete"
-  focus:
-    - "/api/"
-    - "/auth/"
-
-pipeline:
-  max_concurrent_pipelines: 5  # 1-5, default 5
-```
-
-**Only create a config if the target requires authentication or has specific scope rules.** For open/unauthenticated targets, no config is needed.
-
----
-
-## Step 3: Verify API Credentials
-
-Check that AI provider credentials are available:
-
-```bash
-cd "$SHANNON_HOME"
-
-# Check for AI provider credentials
-if [ -n "${ANTHROPIC_API_KEY:-}" ]; then
-  echo "✅ ANTHROPIC_API_KEY is set"
-elif [ -n "${ANTHROPIC_AUTH_TOKEN:-}" ] && [ -n "${ANTHROPIC_BASE_URL:-}" ]; then
-  echo "✅ MiniMax mode: ANTHROPIC_AUTH_TOKEN + ANTHROPIC_BASE_URL are set"
-  echo "   Base URL: $ANTHROPIC_BASE_URL"
-  echo "   Model: ${ANTHROPIC_MODEL:-MiniMax-M2.7}"
-elif [ -n "${CLAUDE_CODE_OAUTH_TOKEN:-}" ]; then
-  echo "✅ CLAUDE_CODE_OAUTH_TOKEN is set"
-elif [ "${CLAUDE_CODE_USE_BEDROCK:-}" = "1" ]; then
-  echo "✅ AWS Bedrock mode enabled"
-elif [ "${CLAUDE_CODE_USE_VERTEX:-}" = "1" ]; then
-  echo "✅ Google Vertex AI mode enabled"
-else
-  echo "❌ No AI credentials found."
-  echo "Set one of: ANTHROPIC_API_KEY, ANTHROPIC_AUTH_TOKEN+ANTHROPIC_BASE_URL (MiniMax), CLAUDE_CODE_OAUTH_TOKEN, or enable Bedrock/Vertex"
-  exit 1
-fi
-```
-
-If no credentials are found, explain the options:
-- **Direct API** (recommended): `export ANTHROPIC_API_KEY=sk-ant-...`
-- **MiniMax**: Set `ANTHROPIC_AUTH_TOKEN` and `ANTHROPIC_BASE_URL` (see MiniMax section below)
-- **OAuth**: `export CLAUDE_CODE_OAUTH_TOKEN=...`
-- **AWS Bedrock**: `export CLAUDE_CODE_USE_BEDROCK=1` + AWS credentials
-- **Google Vertex**: `export CLAUDE_CODE_USE_VERTEX=1` + service account in `./credentials/`
-
-Also recommend: `export CLAUDE_CODE_MAX_OUTPUT_TOKENS=64000`
-
----
-
-## Step 4: Launch the Pentest
-
-**CRITICAL: Confirm with the user before launching.** Display the full command and wait for approval.
-
-```bash
-cd "$SHANNON_HOME"
-
-# Build the command
-CMD="./shannon start URL={TARGET_URL} REPO={REPO_NAME}"
-
-# Add optional flags
-# CONFIG=configs/target-config.yaml  (if auth config exists)
-# WORKSPACE={WORKSPACE}              (if user specified)
-# OUTPUT=./audit-logs/               (default)
-
-echo "Ready to launch:"
-echo "  $CMD"
-echo ""
-echo "This will start Docker containers and begin the pentest."
-echo "Runtime: ~1-1.5 hours │ Cost: ~\$50 (Claude Sonnet)"
-```
-
-After user confirms, run in background:
-```bash
-cd "$SHANNON_HOME" && ./shannon start URL={TARGET_URL} REPO={REPO_NAME} {EXTRA_FLAGS}
-```
-
-Use `run_in_background: true` with a timeout of 600000ms (10 minutes for initial setup). The pentest itself runs in Docker and will continue independently.
-
----
-
-## Step 5: Monitor Progress
-
-While the pentest runs, the user can check status:
-
-```bash
-cd "$SHANNON_HOME"
-
-# List active workspaces
-./shannon workspaces
-
-# View logs for a specific workflow
-./shannon logs ID={workflow-id}
-```
-
-Explain the 5-phase pipeline:
-```
-Shannon Pipeline (5 phases, parallel where possible):
-├─ Phase 1: Pre-Recon — Source code analysis + external scans (Nmap, Subfinder, WhatWeb)
-├─ Phase 2: Recon — Live attack surface mapping via browser automation
-├─ Phase 3: Vulnerability Analysis — 5 parallel agents (Injection, XSS, SSRF, Auth, AuthZ)
-├─ Phase 4: Exploitation — Dedicated agents execute real attacks to validate findings
-└─ Phase 5: Reporting — Executive summary with reproducible PoCs
-```
-
----
-
-## Step 6: Read and Interpret Results
-
-Reports are saved to `$SHANNON_HOME/audit-logs/{hostname}_{sessionId}/`.
-
-```bash
-cd "$SHANNON_HOME"
-
-# Find the latest report
-LATEST=$(ls -td audit-logs/*/ 2>/dev/null | head -1)
-if [ -n "$LATEST" ]; then
-  echo "Latest report: $LATEST"
-  # Find the main report file
-  find "$LATEST" -name "*.md" -type f | head -5
-fi
-```
-
-Read the report and present a summary:
-
-```
-🔐 Shannon Pentest Report: {TARGET}
-━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
-
-🔴 Critical: {N} vulnerabilities
-🟠 High:     {N} vulnerabilities
-🟡 Medium:   {N} vulnerabilities
-🔵 Low:      {N} vulnerabilities
-
-Top Findings:
-1. [CRITICAL] {Vuln type} — {location} — PoC: {brief description}
-2. [HIGH] {Vuln type} — {location} — PoC: {brief description}
-3. ...
-
-Each finding includes a reproducible proof-of-concept exploit.
-```
-
-**IMPORTANT: Shannon's "no exploit, no report" policy means every finding has a working PoC.** But remind the user that LLM-generated content requires human review.
-
----
-
-## Utility Commands
-
-### Check status
-```bash
-cd "$SHANNON_HOME" && ./shannon workspaces
-```
-
-### View logs
-```bash
-cd "$SHANNON_HOME" && ./shannon logs ID={workflow-id}
-```
-
-### Stop pentest
-```bash
-cd "$SHANNON_HOME" && ./shannon stop
-```
-
-### Stop and clean up all data
-```bash
-# DESTRUCTIVE — confirm with user first
-cd "$SHANNON_HOME" && ./shannon stop CLEAN=true
-```
-
-### Resume a previous workspace
-```bash
-cd "$SHANNON_HOME" && ./shannon start URL={URL} REPO={REPO} WORKSPACE={name}
-```
-
----
-
-## Targeting Local Apps
-
-If the user's app runs on localhost, explain:
-```
-Shannon runs inside Docker. To reach your local app:
-├─ Use http://host.docker.internal:{PORT} instead of http://localhost:{PORT}
-├─ macOS/Windows: works automatically with Docker Desktop
-└─ Linux: add --add-host=host.docker.internal:host-gateway to docker run
-```
-
-Automatically translate `localhost` URLs to `host.docker.internal` in the command.
-
----
-
-## Using MiniMax as AI Provider
-
-Shannon supports [MiniMax](https://platform.minimax.io) as an alternative AI backend via the Anthropic SDK compatibility layer. MiniMax provides the `MiniMax-M2.7` model through an Anthropic-compatible API endpoint.
-
-### MiniMax Setup
-
-1. **Get a MiniMax API key** from [platform.minimax.io](https://platform.minimax.io).
-
-2. **Configure environment variables** — either export them directly or add to `~/.claude/settings.json`:
-
-```bash
-# Export directly
-export ANTHROPIC_AUTH_TOKEN="your-minimax-api-key"
-export ANTHROPIC_BASE_URL="https://api.minimax.io/anthropic"   # International
-# export ANTHROPIC_BASE_URL="https://api.minimaxi.com/anthropic"  # China
-
-# Set model (all model slots use the same MiniMax model)
-export ANTHROPIC_MODEL="MiniMax-M2.7"
-export ANTHROPIC_SMALL_FAST_MODEL="MiniMax-M2.7"
-export ANTHROPIC_DEFAULT_SONNET_MODEL="MiniMax-M2.7"
-export ANTHROPIC_DEFAULT_OPUS_MODEL="MiniMax-M2.7"
-export ANTHROPIC_DEFAULT_HAIKU_MODEL="MiniMax-M2.7"
-```
-
-Or in `~/.claude/settings.json`:
-```json
-{
-  "env": {
-    "ANTHROPIC_AUTH_TOKEN": "your-minimax-api-key",
-    "ANTHROPIC_BASE_URL": "https://api.minimax.io/anthropic",
-    "ANTHROPIC_MODEL": "MiniMax-M2.7",
-    "ANTHROPIC_SMALL_FAST_MODEL": "MiniMax-M2.7",
-    "ANTHROPIC_DEFAULT_SONNET_MODEL": "MiniMax-M2.7",
-    "ANTHROPIC_DEFAULT_OPUS_MODEL": "MiniMax-M2.7",
-    "ANTHROPIC_DEFAULT_HAIKU_MODEL": "MiniMax-M2.7",
-    "API_TIMEOUT_MS": "3000000",
-    "CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": "1"
-  }
-}
-```
-
-3. **Clear conflicting env vars** — ensure `ANTHROPIC_API_KEY` is not set when using MiniMax, as it takes precedence:
-```bash
-unset ANTHROPIC_API_KEY
-```
-
-4. **Run Shannon normally** — the MiniMax credentials are passed through to Shannon's Docker containers via the Anthropic SDK compatibility layer:
-```bash
-cd "$SHANNON_HOME" && ./shannon start URL=http://localhost:3000 REPO=myapp
-```
-
-### MiniMax Notes
-- MiniMax uses `ANTHROPIC_AUTH_TOKEN` (not `ANTHROPIC_API_KEY`) for authentication
-- The `ANTHROPIC_BASE_URL` routes requests to MiniMax's Anthropic-compatible endpoint
-- Set `API_TIMEOUT_MS=3000000` for extended timeouts (recommended for pentesting workloads)
-- Set `CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1` to reduce non-essential API calls
-- MiniMax provides a single model (`MiniMax-M2.7`) that is used for all model slots
-
----
-
-## Configuration Reference
-
-### Environment Variables
-| Variable | Required | Description |
-|----------|----------|-------------|
-| `ANTHROPIC_API_KEY` | One of these | Direct Anthropic API key |
-| `ANTHROPIC_AUTH_TOKEN` | required | MiniMax (or compatible) auth token |
-| `ANTHROPIC_BASE_URL` | | API base URL (for MiniMax: `https://api.minimax.io/anthropic`) |
-| `ANTHROPIC_MODEL` | | Model override (e.g., `MiniMax-M2.7`) |
-| `ANTHROPIC_SMALL_FAST_MODEL` | | Small/fast model override |
-| `CLAUDE_CODE_OAUTH_TOKEN` | | Anthropic OAuth token |
-| `CLAUDE_CODE_USE_BEDROCK` | | Set to `1` for AWS Bedrock |
-| `CLAUDE_CODE_USE_VERTEX` | | Set to `1` for Google Vertex AI |
-| `CLAUDE_CODE_MAX_OUTPUT_TOKENS` | Recommended | Set to `64000` |
-| `API_TIMEOUT_MS` | Optional | Request timeout in ms (MiniMax: `3000000`) |
-| `CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC` | Optional | Set to `1` to reduce non-essential calls |
-| `SHANNON_HOME` | Optional | Shannon install dir (default: `~/shannon`) |
-
-### YAML Config Options
-| Section | Field | Description |
-|---------|-------|-------------|
-| `authentication.type` | `form` / `sso` | Login method |
-| `authentication.login_url` | URL | Login page |
-| `authentication.credentials` | object | username, password, totp_secret |
-| `authentication.flow` | string | Natural language login instructions |
-| `authentication.success_condition` | object | `url_contains` or `element_present` |
-| `rules.avoid` | list | Paths/subdomains to skip |
-| `rules.focus` | list | Paths/subdomains to prioritize |
-| `pipeline.retry_preset` | `subscription` | Extended backoff for rate-limited plans |
-| `pipeline.max_concurrent_pipelines` | 1-5 | Parallel agent count (default: 5) |
-
----
-
-## Vulnerability Coverage
-
-Shannon tests 50+ specific cases across 5 OWASP categories:
-
-| Category | Examples |
-|----------|----------|
-| **Injection** | SQL injection, command injection, SSTI, NoSQL injection |
-| **XSS** | Reflected, stored, DOM-based, via file upload |
-| **SSRF** | Internal service access, cloud metadata, protocol smuggling |
-| **Broken Auth** | Default creds, JWT flaws, session fixation, MFA bypass, CSRF |
-| **Broken AuthZ** | IDOR, privilege escalation, path traversal, forced browsing |
-
----
-
-## Integrated Security Tools (bundled in Docker)
-
-- **Nmap** — port scanning and service detection
-- **Subfinder** — subdomain enumeration
-- **WhatWeb** — web technology fingerprinting
-- **Schemathesis** — API schema-based fuzzing
-- **Chromium** — headless browser for automated exploitation (Playwright)
-
----
-
-## Context Memory
-
-For the rest of this conversation, remember:
-- **SHANNON_HOME**: Path to Shannon installation
-- **TARGET_URL**: The URL being tested
-- **REPO_NAME**: Source code folder name
-- **WORKSPACE**: Workspace name (if any)
-- **PENTEST_STATUS**: running / completed / stopped
-
-When the user asks follow-up questions:
-- Check pentest status and report on progress
-- Read and interpret new findings from audit-logs
-- Help remediate discovered vulnerabilities with code fixes
-- Explain PoC exploits and their impact
-
----
-
-## Security & Permissions
-
-**What this skill does:**
-- Clones/updates the Shannon repo from GitHub to `~/shannon` (or `$SHANNON_HOME`)
-- Creates symlinks from user's source code into `~/shannon/repos/`
-- Starts Docker containers (Temporal server, worker, optional router) via `./shannon` CLI
-- Reads pentest reports from `~/shannon/audit-logs/`
-- Optionally creates YAML config files in `~/shannon/configs/`
-
-**What Shannon does (inside Docker):**
-- Executes real exploits against the target URL (SQL injection, XSS, SSRF, etc.)
-- Scans with Nmap, Subfinder, WhatWeb, Schemathesis
-- Automates browser interactions via headless Chromium
-- Sends prompts to Anthropic API (or Bedrock/Vertex) for reasoning
-- Writes reports to `audit-logs/` directory
-
-**What this skill does NOT do:**
-- Does not target any system without user confirmation
-- Does not store or transmit API keys beyond the configured provider
-- Does not modify the user's source code
-- Does not access production systems unless explicitly directed (which it warns against)
-- Does not run without Docker — all attack tools are containerized
-
-**Review the Shannon source code before first use:** https://github.com/KeygraphHQ/shannon
diff --git a/shannon/scripts/setup-shannon.sh b/shannon/scripts/setup-shannon.sh
deleted file mode 100755
index 74891a8..0000000
--- a/shannon/scripts/setup-shannon.sh
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/usr/bin/env bash
-# setup-shannon.sh - Install or update Shannon pentester
-# Usage: bash scripts/setup-shannon.sh [SHANNON_HOME]
-set -euo pipefail
-
-SHANNON_HOME="${1:-${SHANNON_HOME:-$HOME/shannon}}"
-
-echo "🔐 Shannon Setup"
-echo "━━━━━━━━━━━━━━━━"
-
-# Check Docker
-if ! command -v docker &>/dev/null; then
-  echo "❌ Docker is required but not installed."
-  echo "   Install: https://docker.com/products/docker-desktop"
-  exit 1
-fi
-echo "✅ Docker: $(docker --version 2>/dev/null | head -1)"
-
-# Check git
-if ! command -v git &>/dev/null; then
-  echo "❌ Git is required but not installed."
-  exit 1
-fi
-echo "✅ Git: $(git --version)"
-
-# Clone or update Shannon
-if [ -d "$SHANNON_HOME" ] && [ -f "$SHANNON_HOME/shannon" ]; then
-  echo "✅ Shannon found at $SHANNON_HOME"
-  echo "   Updating..."
-  cd "$SHANNON_HOME" && git pull --ff-only 2>/dev/null || echo "   (already up to date or can't fast-forward)"
-else
-  echo "📥 Cloning Shannon to $SHANNON_HOME..."
-  git clone https://github.com/KeygraphHQ/shannon.git "$SHANNON_HOME"
-  echo "✅ Shannon cloned successfully"
-fi
-
-# Check API credentials
-echo ""
-echo "API Credentials:"
-if [ -n "${ANTHROPIC_API_KEY:-}" ]; then
-  echo "✅ ANTHROPIC_API_KEY is set"
-elif [ -n "${ANTHROPIC_AUTH_TOKEN:-}" ] && [ -n "${ANTHROPIC_BASE_URL:-}" ]; then
-  echo "✅ MiniMax mode: ANTHROPIC_AUTH_TOKEN + ANTHROPIC_BASE_URL are set"
-  echo "   Base URL: $ANTHROPIC_BASE_URL"
-  echo "   Model: ${ANTHROPIC_MODEL:-MiniMax-M2.7}"
-elif [ -n "${CLAUDE_CODE_OAUTH_TOKEN:-}" ]; then
-  echo "✅ CLAUDE_CODE_OAUTH_TOKEN is set"
-elif [ "${CLAUDE_CODE_USE_BEDROCK:-}" = "1" ]; then
-  echo "✅ AWS Bedrock mode enabled"
-elif [ "${CLAUDE_CODE_USE_VERTEX:-}" = "1" ]; then
-  echo "✅ Google Vertex AI mode enabled"
-else
-  echo "⚠️  No AI credentials detected. Set one of:"
-  echo "   export ANTHROPIC_API_KEY=sk-ant-..."
-  echo "   export ANTHROPIC_AUTH_TOKEN=... + export ANTHROPIC_BASE_URL=https://api.minimax.io/anthropic  (MiniMax)"
-  echo "   export CLAUDE_CODE_OAUTH_TOKEN=..."
-  echo "   export CLAUDE_CODE_USE_BEDROCK=1"
-  echo "   export CLAUDE_CODE_USE_VERTEX=1"
-fi
-
-echo ""
-echo "Recommended: export CLAUDE_CODE_MAX_OUTPUT_TOKENS=64000"
-echo ""
-echo "Shannon is ready at: $SHANNON_HOME"
-echo "Run a pentest:  cd $SHANNON_HOME && ./shannon start URL=http://localhost:3000 REPO=myapp"
diff --git a/shannon/scripts/sync.sh b/shannon/scripts/sync.sh
deleted file mode 100755
index 2da838c..0000000
--- a/shannon/scripts/sync.sh
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env bash
-# sync.sh - Deploy shannon skill to all host locations
-# Usage: bash scripts/sync.sh  (run from repo root)
-set -euo pipefail
-
-SRC="$(cd "$(dirname "$0")/.." && pwd)"
-echo "Source: $SRC"
-
-TARGETS=(
-  "$HOME/.claude/skills/shannon"
-  "$HOME/.agents/skills/shannon"
-  "$HOME/.codex/skills/shannon"
-)
-
-for t in "${TARGETS[@]}"; do
-  echo ""
-  echo "--- Syncing to $t ---"
-  mkdir -p "$t/scripts"
-
-  cp "$SRC/SKILL.md" "$t/"
-
-  # Helper scripts
-  if ls "$SRC/scripts/"*.sh &>/dev/null; then
-    rsync -a "$SRC/scripts/"*.sh "$t/scripts/"
-  fi
-
-  echo "  Deployed to $t"
-done
-
-echo ""
-echo "Sync complete."