Borrowing it
Nothing to install: this file belongs to arthurzhuhan/one-person-capital. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/arthurzhuhan/one-person-capital/main/.agents/skills/pr-report/SKILL.mdgit clone --depth 1 https://github.com/arthurzhuhan/one-person-capitalWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/arthurzhuhan/one-person-capital/pr-report)<a href="https://agentmods.dev/skills/arthurzhuhan/one-person-capital/pr-report"><img src="https://agentmods.dev/badge/skills/arthurzhuhan/one-person-capital/pr-report/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/arthurzhuhan/one-person-capital/pr-report"><img src="https://agentmods.dev/badge/skills/arthurzhuhan/one-person-capital/pr-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.01131 |
| Opus 5 | $0.00030 | $0.00566 |
| Sonnet 5 | $0.00012 | $0.00226 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
pr-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to pr-report — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.mdfor visual direction and report presentation rulesassets/html-report-starter.htmlfor 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
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 203 lines · 59 tokens per session scan A 190bb29726d3
pr-report is a skill published in the GitHub repository arthurzhuhan/one-person-capital (24 stars, last pushed 6mo ago), licensed MIT. It adds 59 tokens to every session and 1,131 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pr-report, differing in 0 lines, and is treated as a copy.
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