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 cafe3310/public-agent-skills --skill weekly-report-writergit clone --depth 1 https://github.com/cafe3310/public-agent-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/cafe3310/public-agent-skills/weekly-report-writer)<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/weekly-report-writer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/weekly-report-writer/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/cafe3310/public-agent-skills/weekly-report-writer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/weekly-report-writer.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 | $0.00034 | $0.01132 |
| Opus 5 | $0.00017 | $0.00566 |
| Sonnet 5 | $0.00007 | $0.00226 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade A, and why
weekly-report-writer 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 11d 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
Weekly Report Writer (周报撰写助手)
概览
此技能自动化了周报/双周报的创建过程。它通过查找指定日期范围内的所有相关文档，阅读其内容，并根据模板或分层结构合成信息。它特别注重项目的连续性（追踪上一份报告的任务状态）和内容的深度（通过链接溯源）。
何时使用
当用户要求：
- “写我的周报”或“起草本周摘要”。
- 总结两个日期之间的进度。
- 基于上一份报告和一组新文档创建新报告。
此技能在文档知识库，如 Obsidian 知识库中特别有效。
工作流
遵循此工作流生成报告。
第一步：收集用户输入
在开始之前，与用户确认以下信息：
- 开始日期：报告周期的开始。
- 结束日期：报告周期的结束。
- 仓库文件名是否包含日期前缀：确认文件命名约定（如
YYYY-MM-DD-描述.md）。 - 上一份报告路径：上一份周报的文件路径。这对追踪正在进行的任务至关重要。
- 笔记库目录：文档存储库的根目录（例如他们的 Obsidian vault 路径）。
- （可选）报告模板路径：如果用户有特定模板，请提供其路径。
- （可选）项目背景路径：总结更大组织所有项目的文档路径（如果有）。
第二步：查找文档
查找日志：使用用户提供的 笔记库目录 和日期范围，查找日期范围匹配的所有 Markdown 文件。
第三步：与用户确认文件列表
向用户展示找到的文件列表（日志 + 探测到的模板）。请用户确认列表，并反馈任何应 重点关注 或 跳过 的文件。 一般来说，摘抄的文档、语音转写原文日志等应跳过； 每日工作小结、会议纪要、项目更新等应重点关注。 个人 Idea 或 side project 要记录在第一部分的末尾一节。
第四步：阅读、深度溯源与合成
确认后，阅读所有文件的内容。过程中要注意：
几个注意事项：
- 链接追踪：在阅读每日摘要/日志时，如果遇到一个指向另一个文档的“关键事项”，且包含
[[文档链接]]，你应该使用工具读取那个被链接的文档。原因是，每日摘要通常只是一句话（“完成了... ”），而高质量周报需要源文档中的具体产出、方法和数据。 - 信息合成：过程中，合成信息时要注意：
- 追踪“上一份报告”中的项目，凸显其进展。
- 识别待办 (
🟥)、已完成 (🟩)、进行中 (🟨) 和新想法 (💡)，标记各个事项。 - 待办继承：上一份报告中任何
🟥(待办) 或🟨(进行中) 的项目，必须 带入新报告的“待办/积压”区域，除非在新报告中已经包括并明确标记为🟩(已完成)。
第五步：起草报告 (分层输出)
起草报告。如果在第二步中找到了特定模板，请严格遵循它。否则，使用标准分层结构：
第一部分：个人状态同步
- 这是个人日志。
- 受众：自己 / 知识库。
- 内容：详细的技术背景、指向深度文档的链接、个人思考 (
💡) 和具体状态更新。保留[[Wiki Link]]格式。
第二部分：团队对外同步
- 这是团队报告中「自己负责的部分」。
- 受众：管理者 / 团队。
- 内容：高层级摘要。
- 关键进展：交付了什么？（关注价值）。
- 风险/卡点：需要什么支持？
- 下一步计划：近期计划是什么？
- 提及：使用
@用户格式标记负责人。
报告文件名：使用文档库的文件名定义，和之前的报告文件名风格保持一致。
第六步：遗漏检查 (Gap Analysis)
草稿生成后，针对高价值产出进行一轮“遗漏检查”。提醒用户「检查草稿，若有遗漏，请补充」。然后按用户反馈对草稿做编辑更新。
What ships with it
2 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.
- 11d ago First seen · 85 lines · 34 tokens per session scan A 946ea0df82f8
weekly-report-writer is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,132 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.
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