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 skills add woodfishhhh/EZ_math_model --skill external-contextgit clone --depth 1 https://github.com/woodfishhhh/EZ_math_modelWrote 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/external-context)<a href="https://agentmods.dev/skills/woodfishhhh/ez_math_model/external-context"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/external-context/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/skills/woodfishhhh/ez_math_model/external-context"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/external-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.00411 |
| Opus 5.5 | $0.00015 | $0.00164 |
| Sonnet 5.5 | $0.00007 | $0.00082 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
external-context 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.
What it actually says
external-context — 并行外部知识检索
何时使用
- 题目跨经济、工程、政策等多个领域。
- 单个
paper-searchquery 覆盖不足。 - modeler 或 writer 需要多组外部知识摘要。
agent_mode = multi或hybrid。
调用方式
优先加载宿主 external-context skill,并行派 2-3 个 specialist:
specialist 1: 找 {模型 A} 经典文献
specialist 2: 找 {题目领域} 行业基准
specialist 3: 找 {敏感性分析} 方法论文献
每个 specialist 输出不超过 500 字摘要和 DOI / URL 列表,最后聚合到:
workdir/{task_id}/refs/external_context.md
与 paper-search 的区别
| 工具 | 适用 |
|---|---|
paper-search |
单 query 多源聚合,主对话直接跑 |
external-context |
多 query 并行,专家式摘要与交叉验证 |
失败诊断
| 情况 | 处理 |
|---|---|
| 宿主 skill 未安装 | 降级为 paper-search 串行检索 |
| specialist 结论冲突 | 保留所有结论,标注争议点 |
| 全部 specialist 失败 | 回到 paper-search 或 webcrawl |
边界
- 不直接生成
paper.md引用文本。 - 不替代 writer 的引用编号管理。
- 不绕过 multi/hybrid 并发约束。
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 First seen · 51 lines · 37 tokens per session scan A 024f323e6b98
external-context is a skill published in the GitHub repository woodfishhhh/EZ_math_model (43 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 411 once invoked, about $0.0001 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 skills, from other repositories
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-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.
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.
mcm-model-typeset
A set of writing and formatting rules for the model-building and solution section of a Chinese mathematical modelling paper. It defines section structure, equation explanations, constraints, and model summaries without changing the supplied numbers or formulas.
math-modeling-finalizer
A finalization guide for mathematical-modeling projects after the main results are largely fixed.