Borrowing it
Nothing to install: this file belongs to sla1k/smart-gym-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/sla1k/smart-gym-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/sla1k/smart-gym-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/sla1k/smart-gym-mcp/claude-md)<a href="https://agentmods.dev/instructions/sla1k/smart-gym-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sla1k/smart-gym-mcp/claude-md/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/sla1k/smart-gym-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sla1k/smart-gym-mcp/claude-md.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 | $0.00367 | $0.00367 |
| Opus 5 | $0.00183 | $0.00183 |
| Sonnet 5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
smart-gym-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 9d 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.
What it actually says
CLAUDE.md
Project knowledge lives in shared docs — read them, don't rediscover:
DESIGN.md— start here: status table, verified facts (settled — do not re-derive or re-litigate them), architecture invariants, decision logspecs/— source of truth per area;specs/02-write-and-sync.mdPart E has the module layering and the composition table for unimplemented toolsFEATURES.md— backlog
Working rules for this repo
- Follow the architecture invariants in DESIGN.md exactly — especially: thin tools, everything
mutating inside
lifecycle.managed_write, andwrites.mark_routine_pendingon every mutation of an existing routine. - The DB is the user's live personal training data. Never test live applies on real
routines — only on
ZZ-prefixed throwaways, with the user in the loop for cross-device (iPhone) confirmation. Backups land in~/.smartgym-mcp/backups/<ts>/. - Before trusting a NEW kind of mutation syncs, run the Phase-0-style observation from the decision log (DESIGN.md) instead of assuming the dirty flag covers it.
- Tests must never touch the real DB — use the
temp_db_cfgfixture (temp copy).
Commands
uv run pytest
uv run ruff check src tests && uv run ruff format src tests
uv run mypy src
uv run smartgym-mcp # stdio server
uv run mcp dev src/smartgym_mcp/server.py # MCP Inspector
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.
- 9d ago First seen · 29 lines · 367 tokens per session scan A e1dade51d1db
smart-gym-mcp CLAUDE.md is an instructions file published in the GitHub repository sla1k/smart-gym-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 367 tokens to every session, about $0.0018 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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