pr-analysis

pr-analysis is a skill for Claude Code, Codex from kaeawc/auto-mobile. It costs 46 tokens per session (395 once invoked), scanned A, original, Apache-2.0.

A read-only workflow for reviewing a GitHub pull request, which is a proposed set of code changes.

In plain words
What is it for?
Inspecting pull-request metadata, diffs, checks, review threads, changed files, related code, and relevant tests before reporting findings and open questions.
Why use it?
It gives a broader review of intent, correctness, regression risk, tests, and existing feedback instead of checking only whether CI passed.

Skill for Claude CodeCodex

Part of the auto-mobile plugin — 18 skills, 9 commands, 1 hook, 1 MCP server shipped together

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.

agentmods
npx agentmods add skills/kaeawc/auto-mobile/pr-analysis
Any agent
npx skills add kaeawc/auto-mobile --skill pr-analysis
Clone the repo
git clone --depth 1 https://github.com/kaeawc/auto-mobile

Made for: Claude Code, Codex.

Or install auto-mobile, the plugin that ships this one along with the rest of its 18 skills, 9 commands, 1 hook, 1 MCP server.

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 pr-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/kaeawc/auto-mobile/pr-analysis.svg)](https://agentmods.dev/skills/kaeawc/auto-mobile/pr-analysis)
Your own site
<a href="https://agentmods.dev/skills/kaeawc/auto-mobile/pr-analysis"><img src="https://agentmods.dev/badge/skills/kaeawc/auto-mobile/pr-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 395 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00046 $0.00395
Opus 5 $0.00023 $0.00198
Sonnet 5 $0.00009 $0.00079
Haiku 4.5 $0.00005 $0.00040

Measured 4d ago against content hash b360ad0584ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-analysis 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 4d 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.

skills/pr-analysis/SKILL.md · 38 lines

What it actually says

PR Analysis

Perform a read-only PR review that covers intent, correctness, regression risk, tests, and existing feedback.

Workflow

  1. Resolve the PR with gh pr view <pr> --json ... and capture the head branch, base branch, title, and body.
  2. Gather context with gh pr diff, gh pr diff --stat, gh pr checks, and all paginated review, inline, and conversation comments plus review verdicts.
  3. Always collect GraphQL review-thread state: unresolved and outdated threads are not represented reliably by flat comment views. Reuse github-pr-feedback for the collection and the ledger.
  4. Read full changed files from the PR branch and the base branch, not just diff hunks.
  5. Find related callers, interfaces, and tests in the local codebase.
  6. If validation is warranted, run the lightest relevant repo validation rather than a blanket heavy build.
  7. Produce findings first, then open questions, then a short summary.

Repo Rules

  • Prefer gh for PR metadata and CI data.
  • Prefer repo validations:
    • TypeScript: bun run lint, bun run build, bun test
    • Fast checks: bash scripts/all_fast_validate_checks.sh
    • Android or iOS only when the PR actually touches those areas
  • Keep the analysis read-only unless the user explicitly asks for fixes.
  • When saving large diffs or logs, put them in scratch/.

Output Structure

  • Findings ordered by severity with file:line references
  • Open questions or assumptions
  • Brief change summary and residual risks
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. 4d ago First seen · 38 lines · 46 tokens per session scan A b360ad0584ec

Subscribe to this mod's changes

pr-analysis is a skill published in the GitHub repository kaeawc/auto-mobile (45 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 395 once invoked, about $0.0002 per session on Opus 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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