Borrowing it
Nothing to install: this file belongs to dennisadriaans/openrun. 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/dennisadriaans/openrun/main/.agents/skills/fast-pr-review/SKILL.mdgit clone --depth 1 https://github.com/dennisadriaans/openrunWrote 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/dennisadriaans/openrun/fast-pr-review)<a href="https://agentmods.dev/skills/dennisadriaans/openrun/fast-pr-review"><img src="https://agentmods.dev/badge/skills/dennisadriaans/openrun/fast-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/dennisadriaans/openrun/fast-pr-review"><img src="https://agentmods.dev/badge/skills/dennisadriaans/openrun/fast-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 | $0.00035 | $0.00245 |
| Opus 5 | $0.00017 | $0.00122 |
| Sonnet 5 | $0.00007 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
fast-pr-review 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 6d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 6d ago First seen · 21 lines · 35 tokens per session scan A 6a53ebaeeb6a
fast-pr-review is a skill published in the GitHub repository dennisadriaans/openrun (27 stars, last pushed yesterday), licensed AGPL-3.0. It adds 35 tokens to every session and 245 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 2026-09-04.
Other skills, from other repositories
R-ship
Meta-orchestrator to land ready code — commit → PR → code-review → fix loop → reviewed label + ci-watch. Triggers: "ship" | "ship this" | "land this" | "land the PR" | "ship PR" | "submit for merge" | "get this merged" | "ship my branch".
R-dev-review
Multi-domain code review (agents + Conventional Comments → findings + verdict). Triggers: "dev-review" | "code review" | "review changes" | "review PR #42" | "check my code" | "review my changes" | "review this PR" | "do a code review" | "review the diff" | "look at my code" | "/R-dev-review". Not the host natives…
R-fix
Apply review findings — auto-apply high-confidence, 1b1 for rest, then batch-apply. Triggers: "fix findings" | "fix review" | "apply fixes" | "fix these" | "apply review comments" | "apply the review" | "fix the review issues" | "address review feedback" | "fix PR comments".
migration-review
Review database migration files when a change adds or modifies paths under migrations/. Use it before merge to collect forward, rollback, locking, and data-safety evidence.
learn-from-sage
Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.
no-mistakes
Validate committed feature-branch changes through the no-mistakes pipeline: intent, rebase, review, test, docs, lint, push, PR, and CI. Use when the user asks to run no-mistakes, ship safely, validate before pushing, or gate a change before it reaches upstream.