Borrowing it
Nothing to install: this file belongs to dfieser/lcf-strain-life. 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/dfieser/lcf-strain-life/main/CLAUDE.mdgit clone --depth 1 https://github.com/dfieser/lcf-strain-lifeWrote 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/dfieser/lcf-strain-life/claude-md)<a href="https://agentmods.dev/instructions/dfieser/lcf-strain-life/claude-md"><img src="https://agentmods.dev/badge/instructions/dfieser/lcf-strain-life/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/dfieser/lcf-strain-life/claude-md"><img src="https://agentmods.dev/badge/instructions/dfieser/lcf-strain-life/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 | $0.00871 | $0.00871 |
| Opus 5.5 | $0.00348 | $0.00348 |
| Sonnet 5.5 | $0.00174 | $0.00174 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
lcf-strain-life 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 2mo 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Instructions for Claude Code working in this repository. The full, cross-tool contributor guidance lives in AGENTS.md. Read it. The mandatory writing style below is repeated here because it is critical.
Mandatory writing style
These rules apply to everything you write in this project. That covers READMEs, documentation, code comments, docstrings, commit messages, decision records, changelog entries, and chat replies.
- Never use em dashes. Rewrite the sentence with a period, a comma, or a colon.
- Never use semicolons in prose. Use two sentences, or a comma.
- Avoid unnecessary parentheses. Prefer a comma or a separate sentence. Keep them only where they clearly help, for example a unit label such as MPa or a file path.
- Write plainly. Prefer short sentences. Cut filler.
These rules govern prose. They do not change Python syntax. Hyphens are fine, only em dashes are banned.
Honesty, mandatory
Be completely honest and never overpromise. This governs everything: documentation, README claims, docstrings, commit messages, changelog entries, and replies to the maintainer.
- Never claim a capability the code does not have. If a feature is partial, say exactly what works and what does not.
- Report failures as failures. If tests fail, say so with the output. If something was skipped, say it was skipped.
- State the source and method for every equation and dataset. This project is upfront about its methods and sources, and everything it uses must be publishable and citable.
- Do not soften uncertainty. If a result is unvalidated or an implementation is untested against a golden value, label it that way.
What this project is
An automated, AI-agent-native toolkit for fatigue analysis of materials. It ships as a Python library and an MCP server, so AI agents can run the full analysis by calling tools rather than by hand.
The novelty, do not lose it
This project exists to be used by AI agents first. The novelty is an agent-native interface to fatigue analysis over MCP. If the agent focus is dropped, the project loses its reason to exist. Every capability must be reachable and useful through the MCP tools and the library API that an agent can call. When you add a feature, expose it as an MCP tool and keep its inputs and outputs agent friendly.
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.
- 2mo ago First seen · 57 lines · 871 tokens per session scan A b421fd10ef23
lcf-strain-life CLAUDE.md is an instructions file published in the GitHub repository dfieser/lcf-strain-life (0 stars, last pushed 2mo ago), licensed MIT. It adds 871 tokens to every session, about $0.0035 per session on Opus 5.5. 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.
lcf-strain-life CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lcf-strain-life CLAUDE.mddfieser/lcf-strain-life | Instructions file | 0 | 2mo ago | MIT | A | 871 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,685 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |