review-prs

review-prs is a skill for Claude Code from vinta/awesome-python. It costs 58 tokens per session (1,082 once invoked), scanned A, original, no licence file.

A workflow for processing open pull requests, which are proposed code changes waiting for review. It screens the changes, asks a separate audit step whether they should be accepted, then merges or closes them on GitHub.

In plain words
What is it for?
Use it when reviewing open pull requests, processing the queue, or deciding whether a specific pull request should be merged.
Why use it?
It gives maintainers a defined way to decide what happens to the pull-request queue.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it when reviewing open pull requests, processing the queue, or deciding whether a specific pull request should be merged.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vinta/awesome-python/review-prs
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vinta/awesome-python --skill review-prs
Clone the repo
git clone --depth 1 https://github.com/vinta/awesome-python

Made for: Claude Code.

Wrote 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.

agentmods badge for review-prs

README.md
[![agentmods](https://agentmods.dev/badge/skills/vinta/awesome-python/review-prs/github.svg)](https://agentmods.dev/skills/vinta/awesome-python/review-prs)
Your own site
<a href="https://agentmods.dev/skills/vinta/awesome-python/review-prs"><img src="https://agentmods.dev/badge/skills/vinta/awesome-python/review-prs/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.

agentmods 80×15 button for review-prs

Your own site · 80×15
<a href="https://agentmods.dev/skills/vinta/awesome-python/review-prs"><img src="https://agentmods.dev/badge/skills/vinta/awesome-python/review-prs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,082 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high Anti-Refusal · line 19
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.01082
Opus 5.5 $0.00023 $0.00433
Sonnet 5.5 $0.00012 $0.00216
Haiku 4.5 $0.00006 $0.00108

Measured today against content hash 314feee36b0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-prs 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 today.

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.

.claude/skills/review-prs/SKILL.md · 36 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. today Changed 314feee36b0e
  2. 1mo ago First seen · 36 lines · 58 tokens per session scan A f579d09b907f

Subscribe to this mod's changes

review-prs is a skill published in the GitHub repository vinta/awesome-python (327,970 stars, last pushed today), with no licence file. It adds 58 tokens to every session and 1,082 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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