Borrowing it
Nothing to install: this file belongs to Sliky1/lagrangian-skills. 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/Sliky1/lagrangian-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/Sliky1/lagrangian-skillsWrote 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/sliky1/lagrangian-skills/claude-md)<a href="https://agentmods.dev/instructions/sliky1/lagrangian-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/sliky1/lagrangian-skills/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/sliky1/lagrangian-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/sliky1/lagrangian-skills/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 | $0.00236 | $0.00236 |
| Opus 5 | $0.00118 | $0.00118 |
| Sonnet 5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
lagrangian-skills 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 10d 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
This repository contains the lagrangian Agent Skill.
Version
Current package version: v1.0.0
Skill entrypoint
lagrangian/SKILL.md
SKILL.md is the executable core. Detailed reference material lives in:
lagrangian/references/
Development rules
When editing this skill:
- Keep no-tool behavior strict: never allow fabricated optima, multipliers, residuals, cache hits, posterior parameters, or multi-start statistics.
- Keep exact integer/MIP solving out of scope unless the user accepts approximation, relaxation, or case split.
- Preserve the structured failure contract.
- Update
tests/golden/when adding a new behavior. - Update
evals/scenarios/when adding a new benchmark scenario. - Do not claim a new measured success rate unless a new result file is added to
evals/results/.
Lightweight validation
python evals/run_eval.py
This validates scenario file structure. It does not run a model or solver.
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.
- 10d ago First seen · 39 lines · 236 tokens per session scan A 3f574b70d198
lagrangian-skills CLAUDE.md is an instructions file published in the GitHub repository Sliky1/lagrangian-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 236 tokens to every session, about $0.0012 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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