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.
npx skills add faizkhairi/claude-code-blueprint --skill pr-reviewgit clone --depth 1 https://github.com/faizkhairi/claude-code-blueprintWrote 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/faizkhairi/claude-code-blueprint/pr-review)<a href="https://agentmods.dev/skills/faizkhairi/claude-code-blueprint/pr-review"><img src="https://agentmods.dev/badge/skills/faizkhairi/claude-code-blueprint/pr-review/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/faizkhairi/claude-code-blueprint/pr-review"><img src="https://agentmods.dev/badge/skills/faizkhairi/claude-code-blueprint/pr-review.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 | $0.00112 | $0.02150 |
| Opus 5 | $0.00056 | $0.01075 |
| Sonnet 5 | $0.00022 | $0.00430 |
| Haiku 4.5 | $0.00011 | $0.00215 |
Grade B, and why
pr-review scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
- **Gitea**: `curl -u "${AUTH}" -X POST -H "Content-Type: application/json" -d @payload.json "${BASE_URL}/api/v1/repos/{owner}/{repo}/pulls/{n}/reviews"` with the same payload shape, except inline comments use `new_posit Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Anything else (self-hosted Gitea/Forgejo/Gogs, e.g. a company git server) -> **Gitea-style REST API** via `curl`. How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This posts a REAL review to GitHub or Gitea (comments, and an approve/request-changes/comment verdict). It fetches a pull request's diff, runs the same multi-agent analysis as review-full, applies any project-specific review rules, then submits the review via the platform's API. For reviewing local diffs that aren't an open PR, use review-full or review-diff instead.
Step 0: Resolve the PR and detect the platform
- Determine the target PR from
$ARGUMENTS(a number or URL). If empty, detect the PR for the current branch. - Detect the git host from
git remote get-url origin:github.com-> GitHub. Use theghCLI (assume it is already authenticated).- Anything else (self-hosted Gitea/Forgejo/Gogs, e.g. a company git server) -> Gitea-style REST API via
curl.
- For Gitea, locate this project's own credentials rather than asking every time:
- Check whether the project's
CLAUDE.md@imports a credentials file (commonlyrules/credentials.md; this mirrors a common per-project credentials-import convention). - If none is found, ask the user for the base URL and a
username:token, and offer to save them into a new, gitignored file (e.g.rules/credentials.md). Never write real secrets into a tracked file, an.exampletemplate, or any file already committed to git.
- Check whether the project's
Step 1: Load PR context
- Fetch PR metadata (title, author, base/head branch, mergeable state, description) and the unified diff:
- GitHub:
gh pr view <N> --json title,author,baseRefName,headRefName,mergeable,body,gh pr diff <N> - Gitea:
GET /repos/{owner}/{repo}/pulls/{n}andGET /repos/{owner}/{repo}/pulls/{n}.diff
- GitHub:
- Count
diff --githeaders in the diff and record the file count (checked again in Step 5). - Determine reviewer identity. Compare the authenticated account against the PR author:
- GitHub:
gh api user --jq .login - Gitea: the username from the credentials file
- Record whether this is a self-review (author == reviewer). Both platforms reject
APPROVE/REQUEST_CHANGESon your own PR, so a self-review always posts asCOMMENT.
- GitHub:
- Check for a prior review from this reviewer account (
gh api repos/{o}/{r}/pulls/{n}/reviews, or the Gitea equivalent):- No prior review -> first-pass review.
- Prior review exists -> list commits and check for any commit after that review's
submitted_at.- New commits -> re-review mode: only findings still present in the new diff are valid; call out previously-flagged items now fixed.
- No new commits -> stop and report "No new commits since my last review: nothing to re-review." Do not re-run the full checklist.
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.
- 10d ago First seen · 115 lines · 112 tokens per session scan B 31486dca4636
pr-review is a skill published in the GitHub repository faizkhairi/claude-code-blueprint (70 stars, last pushed 29d ago), licensed MIT. It adds 112 tokens to every session and 2,150 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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