Borrowing it
Nothing to install: this file belongs to alinjfz/fitness-agent-mcp. 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/alinjfz/fitness-agent-mcp/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/alinjfz/fitness-agent-mcpWrote 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/alinjfz/fitness-agent-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/alinjfz/fitness-agent-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/alinjfz/fitness-agent-mcp/copilot-instructions/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/instructions/alinjfz/fitness-agent-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/alinjfz/fitness-agent-mcp/copilot-instructions.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 | $0.01336 | $0.01336 |
| Opus 5 | $0.00668 | $0.00668 |
| Sonnet 5 | $0.00267 | $0.00267 |
| Haiku 4.5 | $0.00134 | $0.00134 |
Grade A, and why
fitness-agent-mcp copilot-instructions.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 8d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fitness Agent Layer — GitHub Copilot Instructions
This repository is a PostgreSQL-backed Express API that acts as a universal fitness intelligence layer. It exposes the same data and tools to multiple AI clients simultaneously:
- ChatGPT — via OpenAPI / Custom GPT Actions (
GET /api/openapi.json) - Claude — via MCP StreamableHTTP server (
POST /api/mcp) - GitHub Copilot — via MCP in VS Code (
.vscode/mcp.json) + this file for workspace context
Stack
| Layer | Technology |
|---|---|
| Runtime | Node.js 20, TypeScript (ESM) |
| Framework | Express 5 |
| Database | PostgreSQL via Drizzle ORM |
| AI calls | OpenAI gpt-5-mini via Replit AI Integration proxy |
| MCP server | @modelcontextprotocol/sdk StreamableHTTP |
| Scheduler | node-cron |
| Bundler | esbuild |
| Tests | Vitest + supertest (310 tests, all passing) |
| Package manager | pnpm (monorepo with pnpm-workspace.yaml) |
Monorepo layout
artifacts/api-server/ ← Express API (main artifact)
lib/db/ ← @workspace/db — Drizzle schema + client
lib/api-spec/ ← OpenAPI 3.1 spec (openapi.yaml)
lib/api-zod/ ← Generated Zod schemas
lib/api-client-react/ ← Generated React Query hooks
lib/integrations-openai-ai-server/ ← OpenAI client wrapper
All API endpoints
| Method | Path | What it does |
|---|---|---|
| GET | /api/healthz |
Health check |
| GET | /api/state/:userId |
Full user state (profile + all plans + progress) |
| PUT | /api/state/:userId |
Upsert profile / diet / workout / schedule |
| POST | /api/log-completion |
Log workout or diet; awards XP, updates streak |
| POST | /api/normalize |
Extract structured profile from freeform text (AI) |
| POST | /api/generate-plan |
AI-generate a diet or workout plan |
| POST | /api/schedule-events |
AI-generate calendar events from plan |
| DELETE | /api/schedule-events/:userId |
Clear all scheduled events |
| GET | /api/export/:userId |
Export report as JSON / CSV / HTML |
| GET | /api/progress/:userId/history |
Paginated completion history (page/limit/type/sort) |
| PATCH | /api/progress/:userId/reminders/read |
Mark reminders as read |
| GET | /api/openapi.json |
OpenAPI 3.1 spec as JSON (CORS open for ChatGPT) |
| GET | /api/openapi.yaml |
OpenAPI 3.1 spec as YAML |
| GET | /api/system-prompt |
Copy-paste configs for ChatGPT, Claude, and Copilot |
| POST | /api/mcp |
MCP JSON-RPC endpoint (SSE responses) |
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.
- 8d ago First seen · 141 lines · 1,336 tokens per session scan A 981accafeab2
fitness-agent-mcp copilot-instructions.md is an instructions file published in the GitHub repository alinjfz/fitness-agent-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 1,336 tokens to every session, about $0.0067 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 2026-08-31.
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