Borrowing it
Nothing to install: this file belongs to zhnnky329/MathModeling-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/zhnnky329/MathModeling-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/zhnnky329/MathModeling-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/zhnnky329/mathmodeling-skills/claude-md)<a href="https://agentmods.dev/instructions/zhnnky329/mathmodeling-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/zhnnky329/mathmodeling-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/zhnnky329/mathmodeling-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/zhnnky329/mathmodeling-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 | $0.00574 | $0.00574 |
| Opus 5 | $0.00287 | $0.00287 |
| Sonnet 5 | $0.00115 | $0.00115 |
| Haiku 4.5 | $0.00057 | $0.00057 |
Grade A, and why
MathModeling-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 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.
How it starts
The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mathematical Modeling Workflow
AGENTS.md is the single source of truth for workflow policy, gates, artifacts, human decisions, risk probes, freezing, and audits. Read and follow it before invoking a modeling skill.
.claude/skills/ is a complete standalone skill tree, not an adapter to .codex/skills/. When maintaining a shared skill, keep the full counterpart in both trees and validate both; do not replace either copy with wrappers or symlinks.
The native distribution package lives under plugins/mathmodeling-skills/. After updating both standalone trees, run scripts/sync-plugin.sh and validate both platform manifests before release.
Claude-Specific Operating Rules
- Do not duplicate the full workflow contract in individual responses or generated artifacts.
- Load only the skill needed for the current gate and only the referenced material needed for the current task.
- Pass paths plus a compact evidence digest between skills; do not paste entire upstream reports when paths are available.
- Treat
planning/manifests/Qx.jsonas the state source. Derive status views instead of maintaining duplicate dashboards. - Use
planning/session_config.jsonwith independentinteraction_modeandrigor_profilecontrols. Read legacymodeonly for compatibility. - In
lean, create only the lean artifact set defined inAGENTS.md. - In
submission, add final explanations, reviews, reports, frozen numbers, paper sections, and the three final audits. - Capture human judgments in
methods/Qx/qx_decisions.jsonl. Do not create new per-skill*_modeler_decision.mdfiles. - Never originate a human-owned modeling choice, rationale, confidence verdict, physical interpretation, or submission authorization.
- Replace universal PoCs with the method-specific risk probe defined in
AGENTS.md; do not use source-line count as evidence quality. - Fully implement only the approved main method and usable baseline. Activate a fallback only when its recorded trigger fires.
- Persist full logs only for failures or reproducibility needs.
- Run scoped consistency checks only for
CANONICALorFROZENchanges. Run all three auditors before final assembly. - Never edit
frozen_numbers.jsonmanually.
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 · 38 lines · 574 tokens per session scan A d70e6963a312
MathModeling-skills CLAUDE.md is an instructions file published in the GitHub repository zhnnky329/MathModeling-skills (806 stars, last pushed 15d ago), licensed MIT. It adds 574 tokens to every session, about $0.0029 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 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.