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 kimgoetzke/coding-agent-configs --skill review-prgit clone --depth 1 https://github.com/kimgoetzke/coding-agent-configsWrote 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/kimgoetzke/coding-agent-configs/review-pr)<a href="https://agentmods.dev/skills/kimgoetzke/coding-agent-configs/review-pr"><img src="https://agentmods.dev/badge/skills/kimgoetzke/coding-agent-configs/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/kimgoetzke/coding-agent-configs/review-pr"><img src="https://agentmods.dev/badge/skills/kimgoetzke/coding-agent-configs/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 | $0.00085 | $0.06610 |
| Opus 5.5 | $0.00034 | $0.02644 |
| Sonnet 5.5 | $0.00017 | $0.01322 |
| Haiku 4.5 | $0.00009 | $0.00661 |
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 2d 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 — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review PR
Three rules that override everything else in this skill:
- Never auto-post to GitHub. Even non-interactively or in an "auto" mode, you MUST NOT post review comments without explicit sign-off from the user (step 10). The one exception: the user asked for posting when invoking the skill (e.g. "review PR 42 and post the comments").
- Verify before you report. Sub-agent findings are unverified candidates. Every one passes through triage (step 6) before it reaches the review. This is how we keep out the noise.
- Never modify the PR branch or push code. This skill reads and reports.
Severity scale
Used for individual findings and for dimension scores:
- 🔴 Red (Blocker): fatal — the PR must not merge until it is fixed. Data loss or corruption, a security hole, a crash or broken core path, an unintended breaking change.
- 🟠 Amber (Important): significant but not fatal — a real bug on a non-critical path, a meaningful gap in error handling, a missing test for important behaviour.
- 🟡 Yellow (Minor): real but minor — naming, small readability improvements, minor observability gaps. Does not block merge.
- 🟢 Green: no issues. A dimension score only — no individual finding is ever green, because anything that trivial is discarded in triage.
Writing for a reader outside this repository
This governs every word you write in the review document and in the GitHub comments — findings, summaries, rationales, diagram labels alike.
Once you have read the code you can no longer tell which parts of your explanation only work for someone who has also read it. Assume the reader has not. The goal is that they can decide whether they need to open the codebase at all to agree or disagree with you — not that they must open it before your sentence parses.
- Say what the code is for before saying what is wrong with it. A reader who does not know the purpose cannot tell which details matter. "Renaming a tenant used to 404 until the next restart" before "the loader keeps a second map keyed by the old alias".
- Name things by what they do in the world, then by symbol. "the filter that rejects unauthenticated requests (
AuthFilter.java:52)", not "the filter". This is the same rule step 7 applies to diagram nodes. - Give every symbol a location on first mention. Class, method, file, flag, table, environment variable:
path:line, once, the first time it appears. - Never coin a term. Use the name the codebase already uses — grep for it rather than inventing one. No "ownership boundary", "the resolution layer", "the new flow" unless the repository says so.
- Make every claim checkable. A line, an error string, a command, a number. An assertion the reader cannot verify is one they have to take on trust, which is exactly what this skill exists to avoid.
- Do not teach the language or the framework. Context is a clause, not a preamble. No paragraph explaining dependency injection at the top of a Spring finding.
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.
- 2d ago Changed · +15 lines 668f2195c2aa
- 29d ago Changed · +49 lines c02254890302
- 1mo ago Changed · -8 lines 8e77a9a71c16
- 1mo ago First seen · 312 lines · 85 tokens per session scan A 7274f1d637d2
review-pr is a skill published in the GitHub repository kimgoetzke/coding-agent-configs (2 stars, last pushed 3d ago), licensed MIT. It adds 85 tokens to every session and 6,610 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
pr
Use when writing a PR body.
resolve-pr-feedback
Use when asked to resolve, address, fix, or reply to review feedback on a GitHub Pull Request or GitLab Merge Request, including review comments, unresolved threads, requested changes, or "apply the review comments" requests.
review-pr
Use when asked to review a GitHub Pull Request or GitLab Merge Request, including PR/MR URLs, identifiers, discussions, findings, inline comments, approvals, or request-changes actions.
review-and-resolve-pr
Use when asked to review a GitHub Pull Request or GitLab Merge Request and act on the result in one autonomous pass, including "review and fix this PR", "review this MR and resolve the feedback", "close the review loop on this PR", or any request that pairs reviewing a PR/MR with applying the findings. Reviews the…
agent-swarm-pr
Agent skill for swarm-pr - invoke with $agent-swarm-pr.
agent-pr-manager
Agent skill for pr-manager - invoke with $agent-pr-manager.