Borrowing it
Nothing to install: this file belongs to Terry-Mao/AICodingFlow. 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/Terry-Mao/AICodingFlow/main/.github/skills/review-pr/SKILL.mdgit clone --depth 1 https://github.com/Terry-Mao/AICodingFlowWrote 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/terry-mao/aicodingflow/review-pr)<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/review-pr"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-pr/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/terry-mao/aicodingflow/review-pr"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 33 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 83 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 37 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 86 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 40 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 88 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00056 | $0.00882 |
| Opus 5.5 | $0.00022 | $0.00353 |
| Sonnet 5.5 | $0.00011 | $0.00176 |
| Haiku 4.5 | $0.00006 | $0.00088 |
Grade A, and why
review-pr 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
review-pr
Review one code or mixed-content PR from stable local snapshot files and write
the single output artifact review.json.
Required Contract
Read .agents/contracts/review.md first and follow it exactly. That contract is
authoritative for snapshot trust, untrusted-input handling, PR_DIFF_V1
targeting, review.json structure, severity labels, suggestion blocks,
validator requirements, and GitHub/API boundaries.
Do not run gh, post comments, regenerate snapshots, or modify files other
than review.json.
Applicability
Use this skill for PRs where implementation correctness, security, error handling, performance, maintainability, tests, or docs-vs-code consistency need review.
For docs-only PRs outside specs/, review whether the docs match code,
examples, defaults, behavior, and validation instructions. Do not invent
implementation findings when the diff only changes documentation.
Local Guidance
After applying the shared contract, read .github/skills/review-pr-repo/SKILL.md
when it exists and apply any non-conflicting repository-specific guidance.
When spec_context.md exists, read
.github/skills/check-impl-against-spec/SKILL.md and treat material spec drift
as a review concern.
Always read .github/skills/security-review-pr/SKILL.md and apply it as a
non-conflicting supplemental security pass on code and mixed PRs. Fold any
security findings into the same review.json; do not emit a separate output.
Review Focus
Prioritize concrete findings:
- correctness defects
- security risks
- exception and error handling gaps
- performance risks
- maintainability issues with clear impact
- documentation changes that disagree with code, examples, defaults, or behavior
- test changes that miss important assertions, over-mock behavior, or skip risky paths
Ignore pure style unless you can provide an exact GitHub suggestion. Put
issues that cannot be attached to changed lines, such as missing tests or docs,
in top-level body.
What ships with it
1 file 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.
- 1mo ago First seen · 98 lines · 56 tokens per session scan A 94b7ec4264f8
review-pr is a skill published in the GitHub repository Terry-Mao/AICodingFlow (169 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 882 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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