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paperclip/packages/skills-catalog/catalog/optional/browser/agent-browser/SKILL.md
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Dotta 9eac727cf1 [codex] Add skills CLI and catalog management (#6782)
## Thinking Path

> - Paperclip orchestrates AI agents for zero-human companies through
company-scoped control-plane workflows.
> - Agents need reusable, inspectable skills that can be installed,
reset, audited, exported, and assigned without bespoke local setup.
> - The existing skill truth model needed cleanup so bundled skills,
optional catalog skills, runtime skills, and adapter-provided skills
have clear provenance.
> - Operators also need a practical CLI and board UI for discovering and
managing company skills.
> - This pull request adds the skills CLI, packaged skills catalog,
company skills APIs, and catalog-aware board UI.
> - The benefit is a more reusable Paperclip company setup where skills
are portable, auditable, and easier for operators and agents to manage.

## What Changed

- Added `paperclipai skills` CLI commands and coverage for catalog
listing, installing, resetting, and inspecting company skills.
- Added a packaged `@paperclipai/skills-catalog` workspace with bundled
and optional skill content plus validation/build tests.
- Added shared company-skill types and validators used across CLI,
server, and UI contracts.
- Added server catalog APIs/services for company skill catalog
operations, reset semantics, audit behavior, and portability provenance.
- Updated adapter skill handling so runtime/catalog provenance remains
explicit across local adapters.
- Added board UI support for browsing and managing catalog-backed
company skills.
- Updated docs for the skills CLI/catalog flow and the company skills
Paperclip skill reference.
- Rebased the branch onto current `paperclipai/paperclip:master`; no
`pnpm-lock.yaml`, `.github/workflows`, or migration files are included
in the final PR diff.

## Verification

- Passed: `pnpm run preflight:workspace-links && pnpm exec vitest run
cli/src/__tests__/skills.test.ts
packages/skills-catalog/src/catalog-builder.test.ts
packages/skills-catalog/src/shipped-catalog.test.ts
packages/shared/src/validators/company-skill.test.ts
packages/adapter-utils/src/server-utils.test.ts
packages/plugins/create-paperclip-plugin/src/entrypoints.test.ts
server/src/__tests__/company-skills-catalog-service.test.ts
server/src/__tests__/company-skills-routes.test.ts
server/src/__tests__/company-portability.test.ts`.
- Passed: `pnpm exec vitest run
server/src/__tests__/workspace-runtime.test.ts -t "default
branch|origin/master|symbolic-ref"`.
- Attempted: full `server/src/__tests__/workspace-runtime.test.ts`. Four
provisioning tests failed while seeding an isolated worktree database
from the local Paperclip instance because the local plugin schema dump
contains a duplicate-column foreign key
(`plugin_content_machine_18a7bc327b.content_case_signals`). The
default-branch tests touched by the rebase conflict passed in the
focused run above.
- Checked final diff: no `pnpm-lock.yaml`, no `.github/workflows`, and
no migration-file changes relative to `master`.

## Risks

- Medium: this is a broad skills/catalog change touching CLI, server
APIs, shared contracts, adapter skill sync, and UI.
- Catalog validation and reset semantics need careful reviewer attention
because they affect reusable company setup and portability.
- No database migrations are included in this PR, so there is no
migration ordering/idempotency risk in the final diff.
- No lockfile is included by design; dependency resolution will be
handled by the repository lockfile workflow.

## Model Used

- OpenAI Codex coding agent based on GPT-5, running in Paperclip via the
`codex_local` adapter with shell, git, GitHub CLI, and code-editing tool
access. Exact hosted model build/context-window metadata is not exposed
in this runtime.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run targeted tests locally and documented the local
workspace-runtime seed failure above
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, screenshots were intentionally
omitted per PAP-10124 instructions; UI behavior is covered by tests and
reviewer inspection
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-05-28 07:33:51 -10:00

5.0 KiB
Raw Blame History

name, description, key, recommendedForRoles, tags
name description key recommendedForRoles tags
agent-browser Drive a real browser to inspect or interact with a web page or app — navigate, take screenshots, read console and network, fill simple forms — for verification tasks, not unattended automation. paperclipai/optional/browser/agent-browser
qa
engineer
researcher
browser
puppeteer
playwright
verification

Agent Browser

Use a controlled browser to verify behavior, capture evidence, or extract information from web pages that a static fetch cannot reach (SPAs, login-gated pages, dynamic content). This skill is about supervised verification, not unattended scraping.

When to use

  • You need a screenshot of a deployed page or a local dev server to confirm a UI change.
  • You need to read JavaScript-rendered content that curl/wget will not see.
  • A user reports a UI bug and you need to reproduce it interactively to capture console errors, network requests, or layout state.
  • You need to walk through a short flow (load page, click, observe) to verify acceptance criteria.

When not to use

  • The page is reachable as static HTML. Use curl/HTTP fetch — it is cheaper, faster, and more reliable.
  • The task is unattended large-scale scraping. That belongs to a dedicated scraper with rate limits, robots.txt handling, and a real user agent policy — not this skill.
  • The site is behind authentication you do not own credentials for, or whose terms of service prohibit automation.
  • The site involves sensitive accounts (banking, healthcare, government) where automation risks lockout or compliance issues.

Before launching the browser

  • Confirm the URL and what state should be true after navigation.
  • Decide what evidence is needed: full-page screenshot, viewport screenshot, console log, network trace, HTML snapshot, extracted text.
  • Decide the viewport size that matters for the task (mobile vs desktop). Default to a desktop size unless the task is mobile-specific.
  • For local dev servers, confirm the server is running and the port is what you expect.

Driving the browser

A typical verification session:

  1. Launch with a real-looking user agent when the target is the public internet; an unrealistic UA flags automation traffic.
  2. Set a sane viewport (e.g., 1366×768 desktop, 390×844 iPhone-ish).
  3. Navigate and wait for the right signal. Prefer waiting for a specific selector or network-idle over arbitrary sleeps.
  4. Capture evidence immediately after the wait condition succeeds, before any interaction perturbs the state.
  5. Interact deliberately. One click at a time, with a wait between actions; re-screenshot after each meaningful state change.
  6. Read the console and network panels for unexpected errors, 4xx/5xx responses, or slow requests.
  7. Close the browser cleanly when done. Long-running browser sessions leak memory and hold ports.

What evidence to record

For a verification task, deliver:

  • A full-page or viewport screenshot of each meaningful state.
  • The console log, filtered to warnings/errors.
  • Any non-2xx network response with the URL, status, and a short response body excerpt.
  • A short narration: "Navigated to X, observed Y, clicked Z, observed W."

For a UI bug repro, also record:

  • The exact reproduction steps the user can follow.
  • Viewport size and (where relevant) device pixel ratio.
  • Whether the bug reproduces on first load vs after interaction.

Login-gated pages

  • Prefer programmatic auth (API token, magic link) over UI login.
  • If UI login is the only path, the user must provide credentials explicitly for this run. Never reuse credentials outside the session.
  • Do not store credentials in the session log, screenshot, or returned output.

Performance and politeness

  • Throttle to one navigation per few seconds when touching shared infra.
  • Respect robots.txt for public sites you are inspecting at any volume.
  • Cancel navigations if a page exceeds a reasonable timeout (e.g., 30s); the page is broken or rate-limiting you.
  • Do not retry forever on failure. Retry once with a longer timeout, then escalate.

Common failure modes

  • Selector not found. Page changed, or you are waiting before render. Take a screenshot to see actual state; adjust the selector.
  • Click does nothing. The element is offscreen, covered by a modal, or in a shadow DOM. Scroll into view or pierce the shadow root.
  • Headless detection. Some sites detect headless Chrome and serve a different page. Use a non-headless mode or a fingerprint-realistic configuration only when authorized.
  • Cross-origin iframe blocking. Iframes you do not own cannot be inspected; the page must offer the data outside the iframe or the task is infeasible.

Anti-patterns

  • Long unsupervised browser sessions that drift from the original task.
  • Scraping behind authentication you do not own.
  • Captioning a screenshot with "looks good" without saying what state was loaded and what selectors confirmed it.
  • Treating a passing screenshot as proof of correctness across viewports you did not actually test.