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 chtc66/academic-skills --skill benchmark-extractorgit clone --depth 1 https://github.com/chtc66/academic-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/skills/chtc66/academic-skills/benchmark-extractor)<a href="https://agentmods.dev/skills/chtc66/academic-skills/benchmark-extractor"><img src="https://agentmods.dev/badge/skills/chtc66/academic-skills/benchmark-extractor.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 | $0.00053 | $0.00481 |
| Opus 5 | $0.00026 | $0.00241 |
| Sonnet 5 | $0.00011 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
benchmark-extractor 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 8d 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
Benchmark Extractor
用这个 skill 从论文中抽取 benchmark、dataset、metric、baseline、SOTA 等结构化信息，方便后续整理成表格、CSV 或 JSON。
工作流
- 先按论文逐篇抽取稳定字段。
- 参考
references/extraction_schema.md统一字段名和缺失值写法。 - 参考
references/comparison_table_template.md输出中文说明版或结构化表格版。
输入处理规则
- 接收多篇 PDF、多篇摘要或一组论文链接。
- 如果不同论文信息完整度不一致，仍按统一 schema 填写。
- 未明确写出的字段统一写为
未知，不要臆造。
输出模式
- 中文说明版：适合先看整体 benchmark 版图。
- 结构化表格版：适合后续导出 CSV、JSON 或继续人工补全。
- 如果用户没有指定，默认同时给出简短说明和结构化表格。
输出规则
- 字段尽量包括：
- 论文标题
- 任务
- 数据集
- 指标
- baseline
- 是否报告 SOTA
- 是否开源代码
- 是否开源数据
- 评测设置说明
- 备注
- 对“是否报告 SOTA”这类字段，如果论文只是声称优于 baseline，但未明确写“state of the art”，优先写“未明确”。
证据与表述约束
- 不要根据常识自动补数据集、指标或开源状态。
- 如果只有摘要，明确说明当前抽取只是初步结果。
- 如果字段存在歧义，在备注里写出歧义来源。
何时读引用文件
- 始终读取
references/extraction_schema.md。 - 在组织表格输出时读取
references/comparison_table_template.md。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 53 lines · 53 tokens per session scan A 0898424b8664
benchmark-extractor is a skill published in the GitHub repository chtc66/academic-skills (347 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 481 once invoked, about $0.0003 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.
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