Borrowing it
Nothing to install: this file belongs to sevenschulte/agentic-harness. 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/sevenschulte/agentic-harness/main/.claude/skills/review-pr/SKILL.mdgit clone --depth 1 https://github.com/sevenschulte/agentic-harnessWrote 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/sevenschulte/agentic-harness/review-pr)<a href="https://agentmods.dev/skills/sevenschulte/agentic-harness/review-pr"><img src="https://agentmods.dev/badge/skills/sevenschulte/agentic-harness/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/sevenschulte/agentic-harness/review-pr"><img src="https://agentmods.dev/badge/skills/sevenschulte/agentic-harness/review-pr.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 | $0.00089 | $0.01717 |
| Opus 5 | $0.00044 | $0.00859 |
| Sonnet 5 | $0.00018 | $0.00343 |
| Haiku 4.5 | $0.00009 | $0.00172 |
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 9d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review PR
You are reviewing a pull request. The user has pointed you at a specific PR; your
job is to read it, judge it against the conventions in .claude/rules/, and post
a useful review comment.
This skill is intentionally simpler than ship-pr. The PR review job is mostly
judgement, which means most of the work is reading and thinking, not running
scripts. The script in this skill posts the comment; you draft what it says.
Step 0 — Resolve the PR number
# $ARGUMENTS may be a number (123) or a URL (https://github.com/org/repo/pull/123)
PR_INPUT="$ARGUMENTS"
if [[ "$PR_INPUT" =~ ^[0-9]+$ ]]; then
PR="$PR_INPUT"
elif [[ "$PR_INPUT" =~ /pull/([0-9]+) ]]; then
PR="${BASH_REMATCH[1]}"
else
echo "Could not parse PR number from: $PR_INPUT" >&2
exit 1
fi
# Confirm we're in the right repo
gh repo view --json nameWithOwner -q .nameWithOwner
If the PR isn't in the current repo, stop. Cross-repo review needs --repo and
the user should be explicit.
Step 1 — Gather PR metadata
# Title, body, branch, base, author, state, CI
gh pr view "$PR" --json title,body,headRefName,baseRefName,author,state,statusCheckRollup,reviewDecision,additions,deletions,changedFiles,createdAt
Read it. Note:
- Size — > 500 lines changed is hard to review well. Flag it
- CI status — if checks are failing, that's the first thing to mention
- Existing reviews — has someone already reviewed? Don't repeat their points
- Description quality — is the why in the body, or just the what?
Step 2 — Read the diff
gh pr diff "$PR"
For very large PRs, narrow:
gh pr diff "$PR" --name-only # Just the file list
gh pr diff "$PR" -- path/to/file # Single file
Read the whole diff before forming an opinion. Don't just spot-check.
Step 3 — Run the review checklist
Walk through each category. Note specific files and line numbers for each finding so the author can act without hunting.
Conventions
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.
- 9d ago First seen · 212 lines · 89 tokens per session scan A c54669bca586
review-pr is a skill published in the GitHub repository sevenschulte/agentic-harness (2 stars, last pushed 4mo ago), licensed MIT. It adds 89 tokens to every session and 1,717 once invoked, about $0.0004 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 2026-08-31.
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