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/mrsgsa/math-modeling-skill-dify/claude-mdgit clone --depth 1 https://github.com/MrSGSA/math-modeling-skill-difyWrote 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/mrsgsa/math-modeling-skill-dify/claude-md)<a href="https://agentmods.dev/instructions/mrsgsa/math-modeling-skill-dify/claude-md"><img src="https://agentmods.dev/badge/instructions/mrsgsa/math-modeling-skill-dify/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 5.1 | $0.00145 | $0.00145 |
| Opus 5 | $0.00072 | $0.00072 |
| Sonnet 5 | $0.00029 | $0.00029 |
| Haiku 4.5 | $0.00015 | $0.00015 |
Grade A, and why
math-modeling-skill-dify 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.
What it actually says
Claude 工作区入口
完整读取并遵循同目录的 AGENTS.md。
本工作区的数学建模 Skill 位于 .agents/skills/math-modeling/SKILL.md。即使当前客户端不会自动发现 .agents/skills，也必须在相关任务触发时主动读取该文件，并按其中的渐进式加载规则使用角色、工具和参考资料。
当用户要求启用或配置 Dify 时，按 AGENTS.md 自行识别 Claude Code 当前版本支持的项目级 MCP 配置方式；先检查 claude mcp --help，不要把 Codex 命令照搬为 Claude 命令。
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 · 8 lines · 145 tokens per session scan A a2fb75410437
math-modeling-skill-dify CLAUDE.md is an instructions file published in the GitHub repository MrSGSA/math-modeling-skill-dify (4 stars, last pushed 1mo ago), licensed MIT. It adds 145 tokens to every session, about $0.0007 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.
Other instructions, from other repositories
Score-CAM CLAUDE.md
Instructions for tabayashi0117/Score-CAM, covering claude.md, what this repository is, layout, non-negotiable rules and paper fidelity.
cdc-health-mcp-server CLAUDE.md
Instructions for cyanheads/cdc-health-mcp-server, covering agent protocol, domain, api surface, socrata api endpoints and cdc wonder api.
AutoTrainess AGENTS.md
Instructions for simple-agent-lab/AutoTrainess, covering agents.md, objective, hard constraints, experiment guidance and stage rules.
nvalchemi-toolkit CLAUDE.md
Claude Code instructions for NVIDIA/nvalchemi-toolkit, a project described as: ALCHEMI Toolkit is a developer toolkit for accelerating training and inference for AI in chemistry and material science.
medgemma-mcp CLAUDE.md
Claude Code instructions for Tom-R-Main/medgemma-mcp, covering medgemma mcp server, project overview, architecture, key technical decisions and development rules.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.