FastMCP is a Python framework for building Model Context Protocol applications, which connect language models with tools and data through servers and clients. Developers use it to expose Python functions as tools, connect to local or remote MCP servers, and build interactive tool interfaces. The catalogue includes eight skills, three instructions, two rules, one setting, and one hook for FastMCP.
Borrowing it
Nothing to install: this file belongs to PrefectHQ/fastmcp. 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/PrefectHQ/fastmcp/main/.agents/skills/review-pr/SKILL.mdgit clone --depth 1 https://github.com/PrefectHQ/fastmcpWrote 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/prefecthq/fastmcp/review-pr)<a href="https://agentmods.dev/skills/prefecthq/fastmcp/review-pr"><img src="https://agentmods.dev/badge/skills/prefecthq/fastmcp/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/prefecthq/fastmcp/review-pr"><img src="https://agentmods.dev/badge/skills/prefecthq/fastmcp/review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00044 | $0.02438 |
| Opus 5.5 | $0.00018 | $0.00975 |
| Sonnet 5.5 | $0.00009 | $0.00488 |
| Haiku 4.5 | $0.00004 | $0.00244 |
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 18d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review a FastMCP PR
Review whether the change should ship, with evidence for its intended behavior as well as its implementation. Use the same procedure for maintainer, contributor, and agent drafts. For an unpublished change, record the base and local diff and skip GitHub-only steps. For an external contributor's assignment decision, start with review-issue.
For review-only tasks, assess and report; repair, push, and monitoring steps apply only when that follow-through is in scope. Automated reviewers use the same substantive checks and their required findings format. Do not wait for your own bot review or manage the PR lifecycle. If the review environment cannot run tests or delegate an adversarial pass, state that limit rather than claiming those checks passed.
Procedure
-
Establish the scope. Read AGENTS.md, the contribution policy in the development guide, the issue's full discussion, the entire diff against the merge base, and prior review threads and replies. Record the base and head revisions. Find related issues and PRs in all states, and inspect open PRs touching the same files for overlapping lines or behavior even when they do not link the issue. Distinguish released behavior, fixes already on main, and competing proposals. When proposals compete, record the issue reporter, original implementation author, maintainer direction, correctness, and distinct coverage. Recommend which proposal should survive and preserve carried-forward credit; submission order and green CI do not select the winner. Call a sound overlapping proposal redundant rather than spurious.
-
Decide whether we want the change at all, per triage and merge decisions, before verifying anything. Count a setup the reporter configured into existence, or a deprecated surface, against it. Record want / marginal / don't want with one line of reasoning and carry it into the verdict; batch reviews do this for every PR.
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.
- 18d ago Changed · +4 lines 98d596a42c0e
- 1mo ago Changed · +2 lines c7804e9762f7
- 1mo ago Changed · +8 lines 4ca492176259
- 1mo ago Changed · +22 lines · +16 tokens per session 5f8c862c1b82
- 1mo ago Changed · -75 lines · -23 tokens per session b8e4d2eddea9
- 2mo ago First seen · 109 lines · 51 tokens per session scan A 603a569bef79
review-pr is a skill published in the GitHub repository PrefectHQ/fastmcp (28,322 stars, last pushed today), licensed Apache-2.0. It adds 44 tokens to every session and 2,438 once invoked, about $0.0002 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 2026-08-30.
review-pr compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-prPrefectHQ/fastmcp | Skill | 28k | today | Apache-2.0 | A | 44 | Claude Code, Codex |
| describe-prhumanlayer/humanlayer | Skill | 13k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| github-commentingjuspay/neurolink | Skill | 168 | yesterday | MIT | A | 41 | Claude Code, Codex |
| gh-address-commentsjmagar/claude-homelab | Skill | 87 | 1mo ago | MIT | A | 85 | Claude Code, Codex |
| project-graveyardShubhamsaboo/awesome-llm-apps | Skill | 144k | yesterday | Apache-2.0 | A | 127 | Claude Code, Codex |
| commit-archaeologistShubhamsaboo/awesome-llm-apps | Skill | 144k | yesterday | Apache-2.0 | A | 82 | Claude Code, Codex |
| scope-creep-detectorShubhamsaboo/awesome-llm-apps | Skill | 144k | yesterday | Apache-2.0 | A | 98 | Claude Code, Codex |