Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/woodfishhhh/EZ_math_modelnpx agentmods add skills/woodfishhhh/ez_math_model/scholarWrote 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/skills/woodfishhhh/ez_math_model/scholar)<a href="https://agentmods.dev/skills/woodfishhhh/ez_math_model/scholar"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/scholar.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 | $0.00047 | $0.00244 |
| Opus 5 | $0.00023 | $0.00122 |
| Sonnet 5 | $0.00009 | $0.00049 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade A, and why
scholar 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 7d 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
scholar — paper-search 的别名入口
实际实现
请使用 tools/paper_search/ 下的脚本与 SKILL.md。本目录仅作"短命名空间"
的入口占位。
python tools/paper_search/scripts/openalex_scholar.py "<query>"
python tools/paper_search/scripts/aggregated_search.py "<query>"
为什么保留 scholar/ 这个目录
- 与
references/external-tools-catalog.md§ 2 的"学术搜索"域命名一致 - 未来可能挂"按引用图谱回溯"等更专属的高级搜索脚本
不要在这里写代码
如有新脚本，写到 tools/paper_search/scripts/ 并在那里更新 SKILL.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.
- 7d ago First seen · 30 lines · 47 tokens per session scan A ec72a367171a
scholar is a skill published in the GitHub repository woodfishhhh/EZ_math_model (40 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 244 once invoked, about $0.0002 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 skills, from other repositories
math-modeling-solver
A Chinese-language guide for solving mathematical modeling competition problems. It covers China’s CUMCM and America’s MCM/ICM, where teams use mathematics and code to answer real-world problem statements.
mathmodel-skill
An end-to-end workflow for mathematical-modeling competitions, including CUMCM, MCM/ICM, and the Electrical Cup. It guides teams from choosing a problem through modeling, solving, checking, writing, rule compliance, and final review.
math-modeling-paper
A Chinese-language guide for writing papers for mathematical modelling competitions, where teams use mathematics and data to study a real-world problem.
interpret-modeling-problems
A method for turning a mathematical modelling contest problem and its attachments into a checked plan for solving and documenting it.
math-modeling-finalizer
A finalization guide for mathematical-modeling projects after the main results are largely fixed.
1start-mathmodel
A workflow entry point for the Chinese national mathematical modelling competition. It coordinates problem analysis, modelling, programming, diagrams, paper writing, and verification.