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 agentmods add skills/ntygod/zhiwei/summarizernpx skills add ntygod/ZhiWei --skill summarizergit clone --depth 1 https://github.com/ntygod/ZhiWeiWrote 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/ntygod/zhiwei/summarizer)<a href="https://agentmods.dev/skills/ntygod/zhiwei/summarizer"><img src="https://agentmods.dev/badge/skills/ntygod/zhiwei/summarizer.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 | $0.00042 | $0.00577 |
| Opus 5 | $0.00021 | $0.00289 |
| Sonnet 5 | $0.00008 | $0.00115 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
summarizer 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 6d 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
内容摘要指南
从已有来源提取关键信息生成结构化摘要。核心约束:每个观点必须能在原文找到对应段落,不添加原文没有的推断。
适用场景
- URL 网页摘要("这个链接讲了什么")
- 本地文件(PDF / 文档 / 代码)摘要
- 会议纪要整理(录音转写后的会议记录)
- 多文档对比(找共识 / 分歧)
- 长文精简(保核心、删枝叶)
不适用场景
- 从零创作 → content-creator
- 数据统计报告 → data-analyst
- 跨多源调研 → research-assistant
工作流(按来源分流)
| 来源 | 取用方法 |
|---|---|
| URL | web_fetch 抓正文 |
| 本地文件(含 docx/pdf/xlsx) | file_read(已自动解析结构化文档) |
| 知识库 | memory |
| 会议录音 | 用户先转写,得到文本后走文件路径 |
通用要点:
- 选格式:短摘要(3-5 句) / 深度摘要(章节结构) / 会议纪要(议题 / 决议 / 行动项 / 责任人) / 多文档对比(共识 / 分歧 / 来源标注)
- 抓不全要声明:抓取空 / 不全 / 被付费墙挡时告知用户,不假装抓了全部
- 多文档对比:每篇逐一读取后再生成,不靠单文档外推
- 来源标注:URL 摘要开头
[页面标题](URL);多文档版每条要点标"来自《X》" - 保存:长摘要
file_write落盘,短摘要直接对话给
详细参考
- 各格式模板、会议纪要骨架、错误处理:
{skill_dir}/references/summary-formats.md
What ships with it
1 file 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.
- 6d ago First seen · 58 lines · 42 tokens per session scan A a53d2b5efa82
summarizer is a skill published in the GitHub repository ntygod/ZhiWei (137 stars, last pushed 26d ago), licensed MIT. It adds 42 tokens to every session and 577 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
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weekly-review
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docmancer
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vault-for-llm
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mooncite
Use when an agent needs past Pi, OMP, Claude Code, Codex, or ChatGPT context.