fastmcp: Skill for Claude Code

.agents/skills/triage/SKILL.md

triage is a skill for Claude Code, Codex from PrefectHQ/fastmcp. It costs 32 tokens per session (775 once invoked), scanned A, original, Apache-2.0.

An issue-triage workflow for finding worthwhile FastMCP bugs in a backlog or release window and presenting supported candidates with related pull requests.

In plain words
What is it for?
Use it to search and verify candidate issues, distinguish proposed fixes from released fixes, and recommend concrete work with evidence.
Why use it?
It checks the reported behavior, code history, existing discussions, compatibility, and release status instead of choosing issues only by age or apparent size.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is PrefectHQ/fastmcp's own configuration. It tells Claude Code and Codex how to work on fastmcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fastmcp configures →

About the project

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.

PrefectHQ/fastmcp · 28,322 stars · on GitHub · gofastmcp.com

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/PrefectHQ/fastmcp/main/.agents/skills/triage/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/PrefectHQ/fastmcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for triage

README.md
[![agentmods](https://agentmods.dev/badge/skills/prefecthq/fastmcp/triage/github.svg)](https://agentmods.dev/skills/prefecthq/fastmcp/triage)
Your own site
<a href="https://agentmods.dev/skills/prefecthq/fastmcp/triage"><img src="https://agentmods.dev/badge/skills/prefecthq/fastmcp/triage/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.

agentmods 80×15 button for triage

Your own site · 80×15
<a href="https://agentmods.dev/skills/prefecthq/fastmcp/triage"><img src="https://agentmods.dev/badge/skills/prefecthq/fastmcp/triage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 775 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.00775
Opus 5.5 $0.00013 $0.00310
Sonnet 5.5 $0.00006 $0.00155
Haiku 4.5 $0.00003 $0.00077

Measured 7d ago against content hash 2b343bc1f7da, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

triage 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 7d 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.

.agents/skills/triage/SKILL.md · 38 lines

What it actually says

Find worthwhile work

Read AGENTS.md and the contribution policy in the development guide. Honor the requested scope. For "since the last patch," identify the release timestamp, then look for open issues created or substantively updated afterward. Use a bounded inventory internally; report truncation if it affects coverage.

Start from an inventory, then link each candidate to the PRs that mention it:

gh release list --repo PrefectHQ/fastmcp --limit 1
gh issue list --repo PrefectHQ/fastmcp --state open --limit 30 \
  --json number,title,author,createdAt,updatedAt,labels,comments
gh pr list --repo PrefectHQ/fastmcp --state all --search "<issue-number> in:body" \
  --json number,title,state,author

Where search, GraphQL or --paginate are blocked (cloud sessions), page repo-scoped REST by hand (gh api "repos/PrefectHQ/fastmcp/pulls?state=all&per_page=100&page=N"), dump it once, and join locally.

Pick work with concrete user impact, a supported contract being violated, a tractable causal fix, and a change FastMCP wants to carry. Apply triage and merge decisions before ranking anything: labels and confident diagnoses are claims, and the behavior may already be fixed or decided. Mark each pick want / marginal / don't want. Do not rank solely by recency, comment count, or how small a proposed patch looks. Automated dashboard churn is not itself useful work.

For promising candidates:

  • Read the report, comments, maintainer decisions, and prior bot investigation.
  • Search related issues and PRs in all states, including gate-closed contributions. Closure alone says nothing about a fix's merit.
  • Trace the relevant code and git history. Distinguish fixed on main, released on the affected line, and merely proposed.
  • Verify the claimed contract and enough evidence to explain the cause. A proposed solution is a lead, not a diagnosis. Consider compatibility before calling a fix straightforward.

For a cleanup pass, the mechanical wins are open PRs whose linked issue is already closed, issues still open after a merged "fixes #N" (check for a revert first), and competing PRs for one issue.

Lead with the strongest pick as soon as evidence supports it: link, what breaks, why it matters, where the cause is, and the next action. Include a few alternatives when useful. Do not turn selection into an exhaustive audit or a full review of every linked PR. Save continuation notes only when needed.

When the user chooses implementation, use fix-issue. For an assignment decision on an external contribution, use review-issue. Triage alone does not authorize public mutations or implementation.

For a batch of maintainer decisions, save a self-contained proposal naming each target, exact action or patch, pinned revisions, evidence and executed checks, remaining questions, and dependencies between items. Include contributor ownership and the canonical issue or PR for proposed closures. Use upstream EGM in the maintainer session when independent batch review is requested. A Cloud node returns its assigned stage's declared output; the maintainer-facing session assembles the proposal and obtains sign-off.

Changes

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.

  1. 7d ago Changed · +2 lines 2b343bc1f7da
  2. 18d ago Changed · +4 lines 7c902027cb0d
  3. 1mo ago Changed 28da7b07be31
  4. 1mo ago Changed · +10 lines 44bd406f46f5
  5. 1mo ago First seen · 22 lines · 32 tokens per session scan A aface6146d53

Subscribe to this mod's changes

triage is a skill published in the GitHub repository PrefectHQ/fastmcp (28,322 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 775 once invoked, about $0.0001 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 2026-09-12.

Related

triage compared with skills from other repositories

triage next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
triagePrefectHQ/fastmcpSkill28ktodayApache-2.0A32Claude Code, Codex
mcp-apps-builderShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0A139Claude Code, Codex
iterate-implementationhumanlayer/humanlayerSkill13kyesterdayApache-2.0A16Claude Code, Codex
agentseek-lifecycleob-labs/agentseekSkill20529d agoApache-2.0A54Codex
guardrails-developer-guideNVIDIA-NeMo/GuardrailsSkill7.4kyesterdaynoneA92Claude Code, Codex
triaging-incidentsjschuller/mcp-server-servicenowSkill272d agoMITA89Claude Code
langsmith-traceob-labs/agentseekSkill20529d agoApache-2.0C54Claude Code, Codex