fastapi-docs-mcp CLAUDE.md

fastapi-docs-mcp CLAUDE.md is an instructions file for coding agents from jaredthivener/fastapi-docs-mcp. It costs 535 tokens per session, scanned A, a copy of OpenAIWorkshop copilot-instructions.md, MIT.

A set of instructions for a FastAPI documentation project covering planning, delegation, learning from corrections, and verification. FastAPI is a Python framework for building web APIs.

In plain words
What is it for?
Use it to plan non-trivial tasks, delegate focused investigations, record lessons, compare behavior, and run verification before declaring work finished.
Why use it?
It gives the agent a repeatable workflow for breaking down work, checking the result, and avoiding repeated mistakes.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/jaredthivener/fastapi-docs-mcp/claude-md
Clone the repo
git clone --depth 1 https://github.com/jaredthivener/fastapi-docs-mcp

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 fastapi-docs-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jaredthivener/fastapi-docs-mcp/claude-md.svg)](https://agentmods.dev/instructions/jaredthivener/fastapi-docs-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/jaredthivener/fastapi-docs-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jaredthivener/fastapi-docs-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 535 This file is loaded in full into every session.
When invoked 535 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 94% copy Near-identical to another mod 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 $0.00535 $0.00535
Opus 5 $0.00267 $0.00267
Sonnet 5 $0.00107 $0.00107
Haiku 4.5 $0.00053 $0.00053

Measured 3d ago against content hash a04089184242, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fastapi-docs-mcp CLAUDE.md 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 3d 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.

Origin

This is a copy

94% identical to OpenAIWorkshop copilot-instructions.md — 103 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow Orchestration

1. Plan Mode Default

  • Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
  • If something goes sideways, STOP and re-plan immediately - don't keep pushing
  • Use plan mode for verification steps, not just building
  • Write detailed specs upfront to reduce ambiguity

2. Subagent Strategy

  • Use subagents liberally to keep main context window clean
  • Offload research, exploration, and parallel analysis to subagents
  • For complex problems, throw more compute at it via subagents
  • One tack per subagent for focused execution

3. Self-Improvement Loop

  • After ANY correction from the user: update tasks/lessons.md with the pattern
  • Write rules for yourself that prevent the same mistake
  • Ruthlessly iterate on these lessons until mistake rate drops
  • Review lessons at session start for relevant project

4. Verification Before Done

  • Never mark a task complete without proving it works
  • Diff behavior between main and your changes when relevant
  • Ask yourself: "Would a staff engineer approve this?"
  • Run tests, check logs, demonstrate correctness

5. Demand Elegance (Balanced)

  • For non-trivial changes, pause and ask "is there a more elegant way?"
  • If a fix feels hack: "Knowing everything I know now, implement the elegant solution"
  • Skip this for simple, obvious fixes - don't over-engineer
  • Challenge your own work before presenting it

6. Autonomous Bug Fixing

  • When given a bug report: just fix it. Don't ask for hand-holding
  • Point at logs, errors, failing tests - then resolve them
  • Zero context switching required from the user
  • Go fix failing CI tests without being told how

Task Management

  1. Plan First: Write plan to tasks/todo.md with checkable items
  2. Verify Plan: Check in before starting implementation
  3. Track Progress: Mark items complete as you go
  4. Explain Changes: High-level summary at each step
  5. Document Results: Add review section to tasks/todo.md
  6. Capture Lessons: Update tasks/lessons.md after corrections

Read the full file on GitHub · 53 lines

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. 3d ago First seen · 53 lines · 535 tokens per session scan A a04089184242

Subscribe to this mod's changes

fastapi-docs-mcp CLAUDE.md is an instructions file published in the GitHub repository jaredthivener/fastapi-docs-mcp (3 stars, last pushed 10d ago), licensed MIT. It adds 535 tokens to every session, about $0.0027 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to OpenAIWorkshop copilot-instructions.md, differing in 103 lines, and is treated as a copy.

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