Pr ReportCAUTION
The open-source app everyone uses to manage agents at work
Overview
The open-source app everyone uses to manage agents at work
59d017e6174aOBSERVED · 2026-09-23What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: pr-report description: > Produce a maintainer-grade PR or contribution report as HTML or Markdown. Use when asked to deeply review a PR, explain a design, compare systems, or prepare a merge recommendation. --- # PR Report Skill Produce a maintainer-grade review of a PR, branch, or large contribution. Default posture: - understand the change before judging it - explain the system as built, not just the diff - separate architectural problems from product-scope objections - make a concrete recommendation, not a vague impression ## When to Use Use this skill when the user asks for things like: - "review this PR deeply" - "explain this contribution to me" - "make me a report or webpage for this PR" - "compare this design to similar systems" - "should I merge this?" ## Outputs Common outputs: - standalone HTML report in `tmp/reports/...` - Markdown report in `report/` or another requested folder - short maintainer summary in chat If the user asks for a webpage, build a polished standalone HTML artifact with clear sections and readable visual hierarchy. Resources bundled with this skill: - `references/style-guide.md` for visual direction and report presentation rules - `assets/html-report-starter.html` for a reusable standalone HTML/CSS starter ## Workflow ### 1. Acquire and frame the target Work from local code when possible, not just the GitHub PR page. Gather: - target branch or worktree - diff size and changed subsystems - relevant repo docs, specs, and invariants - contributor intent if it is documented in PR text or design docs Start by answering: what is this change *trying* to become? ### 2. Build a mental model of the system Do not stop at file-by-file notes. Reconstruct the design: - what new runtime or contract exists - which layers changed: db, shared types, server, UI, CLI, docs - lifecycle: install, startup, execution, UI, failure, disablement - trust boundary: what code runs where, under what authority For large contributions, include a tutorial-style section that teaches the system from first principles. ### 3. Review like a maintainer Findings come first. Order by severity. Prioritize: - behavioral regressions - trust or security gaps - misleading abstractions - lifecycle and operational risks - coupling that will be hard to unwind - missing tests or unverifiable claims Always cite concrete file references when possible. ### 4. Distinguish the objection type Be explicit about whether a concern is: - product direction - architecture - implementation quality - rollout strategy - documentation honesty Do not hide an architectural objection inside a scope objection. ### 5. Compare to external precedents when needed If the contribution introduces a framework or platform concept, compare it to similar open-source systems. When comparing: - prefer official docs or source - focus on extension boundaries, context passing, trust model, and UI ownership - extract lessons, not just similarities Good comparison questions: - Who owns lifecycle? - Who owns UI composition? - Is context explicit or ambient? - Are plugins trusted code or sandboxed code? - Are extension points named and typed? ### 6. Make the recommendation actionable Do not stop at "merge" or "do not merge." Choose one: - merge as-is - merge after specific redesign - salvage specific pieces - keep as design research If rejecting or narrowing, say what should be kept. Useful recommendation buckets: - keep the protocol/type model - redesign the UI boundary - narrow the initial surface area - defer third-party execution - ship a host-owned extension-point model first ### 7. Build the artifact Suggested report structure: 1. Executive summary 2. What the PR actually adds 3. Tutorial: how the system works 4. Strengths 5. Main findings 6. Comparisons 7. Recommendation For HTML reports: - use intentional typography and color - make navigation easy for long reports - favor strong section headings and small reference labels - avoid generic dashboard styling Before building from scratch, read `references/style-guide.md`. If a fast polished starter is helpful, begin from `assets/html-report-starter.html` and replace the placeholder content with the actual report. ### 8. Verify before handoff Check: - artifact path exists - findings still match the actual code - any requested forbidden strings are absent from generated output - if tests were not run, say so explicitly ## Review Heuristics ### Plugin and platform work Watch closely for: - docs claiming sandboxing while runtime executes trusted host processes - module-global state used to smuggle React context - hidden dependence on render order - plugins reaching into host internals instead of using explicit APIs - "capabilities" that are really policy labels on top of fully trusted code ### Good signs - typed contracts shared across layers - explicit extension points - host-owned lifecycle - honest trust model - narrow first rollout with room to grow ## Final Response In chat, summarize: - where the report is - your overall call - the top one or two reasons - whether verification or tests were skipped Keep the chat summary shorter than the report itself.
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (2)
.claude/skills/company-creator
.claude/skills/paperclip
Gates applied: no_behavioural_pass.
59d017e6174afull audit observations/trust-audit/skill/paperclipai__pr-report.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-23 | 59d017e6174a | CAUTION | B | 89 | first audit |
Questions
What does the Pr Report skill do?
The open-source app everyone uses to manage agents at work
Is Pr Report safe to install?
With care. The audit graded it B (89/100) and found 2 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Pr Report access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (59d017e6174a), read on 2026-09-23. The repository is watched, and a new audit runs when it changes — this is the first audit.