Borrowing it
Nothing to install: this file belongs to GuitarAlchemist/ga. 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/GuitarAlchemist/ga/main/.claude/skills/grade-last-pr/SKILL.mdgit clone --depth 1 https://github.com/GuitarAlchemist/gaWrote 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/guitaralchemist/ga/grade-last-pr)<a href="https://agentmods.dev/skills/guitaralchemist/ga/grade-last-pr"><img src="https://agentmods.dev/badge/skills/guitaralchemist/ga/grade-last-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/guitaralchemist/ga/grade-last-pr"><img src="https://agentmods.dev/badge/skills/guitaralchemist/ga/grade-last-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 | $0.00109 | $0.05244 |
| Opus 5 | $0.00055 | $0.02622 |
| Sonnet 5 | $0.00022 | $0.01049 |
| Haiku 4.5 | $0.00011 | $0.00524 |
Grade A, and why
grade-last-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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/grade-last-pr
Grades the last merged PR on the current branch's upstream against the goal the author stated. Outputs a JSON grade card + a terminal summary.
Part of item #5 in docs/plans/2026-05-23-arch-harness-engineering-adoption-plan.md — "Cybernetic governance loops". Today, an agent declares "done" and that's the end of the loop. This skill closes the loop by re-reading the intent after merge and comparing it to the diff.
When to run
- Immediately after a PR merges to main — fresh memory, clean diff.
- Inside the post-merge smoke action (once item #4 lands, this skill can be invoked from CI as a follow-up step — but works standalone today).
- Spot-checking an agent's work — pick any merge SHA and grade it.
Do NOT invoke for unmerged PRs (the diff isn't stable yet — use /octo:review instead) or for revert commits (use /learnings to capture the regression).
How to run
1. Resolve the last merged PR
# Latest merge on this branch
git log -1 --format='%H %s'
# Cross-check against gh's view of merged PRs
gh pr list --state merged --limit 1 --json number,title,mergeCommit,mergedAt,headRefName
The merge SHA from git log should equal mergeCommit.oid from gh. If they disagree, the local branch is ahead of what gh sees — git fetch origin and retry, or pass an explicit PR number as the argument (/grade-last-pr 308).
Squash-merge convention means HEAD is the merged commit itself (one commit per PR). For merge-commit PRs the same logic still works; git show HEAD --stat reports the merge.
2. Capture the stated intent
gh pr view <num> --json title,body,number,mergedAt,mergeCommit,headRefName,author
The stated intent is title plus the ## Summary section of body (the first ## block, up to the next ##). If the body has no ## Summary, fall back to the title and flag intent_section_missing in reasons.
Skip everything below ## Test plan — that's how the PR was verified, not what it was for.
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 · 315 lines · 109 tokens per session scan A c76627862b54
grade-last-pr is a skill published in the GitHub repository GuitarAlchemist/ga (2 stars, last pushed today), licensed MIT. It adds 109 tokens to every session and 5,244 once invoked, about $0.0005 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.
Other skills, from other repositories
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
rework-rate
Measure and interpret PR rework rate — the emerging 5th DORA metric.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…