Borrowing it
Nothing to install: this file belongs to handsomeZR-netizen/mathmodel-skill. 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/handsomeZR-netizen/mathmodel-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/handsomeZR-netizen/mathmodel-skillWrote 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/handsomezr-netizen/mathmodel-skill/agents-md)<a href="https://agentmods.dev/instructions/handsomezr-netizen/mathmodel-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/handsomezr-netizen/mathmodel-skill/agents-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/handsomezr-netizen/mathmodel-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/handsomezr-netizen/mathmodel-skill/agents-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 | $0.00644 | $0.00644 |
| Opus 5.5 | $0.00258 | $0.00258 |
| Sonnet 5.5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
mathmodel-skill AGENTS.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 1mo 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository instructions
This repository contains the mathmodel-skill product. When working inside this repository, act as a maintainer: do not start the ten-stage contest workflow merely because modeling-related files are present.
Sources of truth
SKILL.mddefines runtime behavior and trigger boundaries.references/stage_00_kickoff.mdthroughreferences/stage_09_review.mdcontain stage details and must be loaded lazily at runtime.competitions/<competition>/contains competition-specific rules, heuristics, overlays, and paper structures.templates/shared/decision_log.jsonis the canonical persistent-state template..codex-plugin/plugin.json,agents/openai.yaml, andskills/mathmodel-skill/SKILL.mdare packaging metadata or thin discovery shims. Do not duplicate the workflow into them.
Maintenance rules
- Preserve the trigger boundary: this skill is for CUMCM, MCM/ICM, and Diangong Cup contest work, not generic data analysis or ordinary paper review.
- Treat official contest rules as time-sensitive. Keep a verification date and primary source in
competitions/<competition>/current_rules.md; official current-year material always overrides repository guidance. - Treat empirical distributions and
winning_patterns.mdas observations or maintainer heuristics, never official thresholds or award predictors. - Keep user artifacts relative to the user's working directory (
state/,results/,figures/,paper_workspace/,paper_output/). Resolve repository resources relative to the installed skill root. - Keep
SKILL.mdconcise and dispatch stage-specific detail intoreferences/. - Do not add runtime claims about awards, token savings, or elapsed time without a reproducible benchmark.
- When changing behavior, update the README, tests, plugin version, state schema, and relevant competition docs together.
- README visuals in
assets/are original SVGs. Keep their version, stage names, and example data consistent withSKILL.mdandscripts/status.pywhen those change. - Do not vendor or reintroduce templates, examples, papers, or binary assets without a clear redistribution license. Keep runtime dependencies and external-source boundaries accurate in
THIRD_PARTY_NOTICES.md.
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.
- 1mo ago Changed · +1 lines · +40 tokens per session a15fc4ac168c
- 1mo ago First seen · 40 lines · 604 tokens per session scan A a5e36c656642
mathmodel-skill AGENTS.md is an instructions file published in the GitHub repository handsomeZR-netizen/mathmodel-skill (294 stars, last pushed 1mo ago), licensed MIT. It adds 644 tokens to every session, about $0.0026 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.