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 agentmods add instructions/mkwatson/ai-fastify-template/claude-mdgit clone --depth 1 https://github.com/mkwatson/ai-fastify-templateWrote 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/instructions/mkwatson/ai-fastify-template/claude-md)<a href="https://agentmods.dev/instructions/mkwatson/ai-fastify-template/claude-md"><img src="https://agentmods.dev/badge/instructions/mkwatson/ai-fastify-template/claude-md.svg" alt="Measured on agentmods" 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 | $0.00873 | $0.00873 |
| Opus 5 | $0.00436 | $0.00436 |
| Sonnet 5 | $0.00175 | $0.00175 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
ai-fastify-template 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 5d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Memory – AI Fastify Template
Master Guidelines
@AGENTS.md
Claude Code Specific Notes
Things shared across all AI coding agents are in AGENTS.md above.
Claude-specific guidelines can be added here if needed in the future. For now, all guidelines are maintained in the master AGENTS.md file to ensure consistency across all AI coding tools.
Quick Reference Commands
# Development workflow
pnpm ai:quick # Fast validation during coding (Nx cached)
pnpm ai:check # Pre-commit validation
pnpm ai:compliance # Full quality pipeline
# CI Validation (CRITICAL: Run before pushing)
pnpm ci:check # Same validation as GitHub Actions (lint + type-check + test)
pnpm ci:simulate # EXACT CI simulation: builds first, then runs ci:check (use when CI fails but local passes)
# Nx affected commands - only run on changed packages
pnpm affected:lint # Lint only changed packages
pnpm affected:test # Test only changed packages
pnpm affected:all # All validation on changed packages
# Test configuration validation (CRITICAL for dual configs)
pnpm test:config:verify # Full config validation + test execution comparison
pnpm test:config:quick # Quick config validation for pre-push hooks
# Project management
# Use Linear MCP tools for issue management
# Use gh CLI for GitHub operations
# Quality tools
pnpm lint:fix # Auto-fix formatting
pnpm test # Run tests
pnpm build # Production build
# Environment check
pnpm doctor # Check Node/pnpm versions
🚨 Critical Workflow: Prevent CI Failures
ALWAYS run local validation before pushing:
# 1. Before every commit/push
pnpm ci:check # Matches GitHub Actions exactly
# 2. If you see errors, fix them locally
pnpm lint:fix # Auto-fix linting issues
pnpm type-check # Verify TypeScript
# 3. Then commit and push
git add . && git commit -m "your message"
git push
Key Rule: Never push code that fails pnpm ci:check - it will fail in CI and waste time.
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.
- 5d ago First seen · 111 lines · 873 tokens per session scan A 53a909f08324
ai-fastify-template CLAUDE.md is an instructions file published in the GitHub repository mkwatson/ai-fastify-template (18 stars, last pushed 1y ago), licensed MIT. It adds 873 tokens to every session, about $0.0044 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 2026-08-30.
Other instructions, from other repositories
technocore-chat AGENTS.md
AGENTS.md instructions for flop-labs/technocore-chat: CI runs exactly these — run them before pushing.
devopness CLAUDE.md
Claude Code instructions for devopness/devopness, a project described as: Devopness: AI DevOps on your cloud. Deploy apps, infra and CI/CD. Any cloud and any stack, one MCP. Deterministic API, opinionated and fully configurable. No cloud credentials in AI chats. Free plan.
skills CLAUDE.md
Claude Code instructions for starslingdev/skills, covering starslingdev/skills, repository layout, working in this repo, opt-in debug logging (off by default) and registry audit triage (maintainers-only).
docker-zoneminder CLAUDE.md
Instructions for jantman/docker-zoneminder, covering claude.md, project overview, build and test, ci/cd and architecture.
Powershell-Copilot-Standards cicd.instructions.md
Sets up comprehensive CI/CD pipelines for PowerShell projects with automated testing and deployment.
klaudiush CLAUDE.md
Claude Code instructions for smykla-skalski/klaudiush, covering claude.md, project overview, commands, completion (shell completion scripts) and doctor (diagnose setup and configuration).