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 leecyno1/boutique-skills --skill dasheng-daily-briefgit clone --depth 1 https://github.com/leecyno1/boutique-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/leecyno1/boutique-skills/dasheng-daily-brief)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/dasheng-daily-brief"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-daily-brief/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/leecyno1/boutique-skills/dasheng-daily-brief"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-daily-brief.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00525 |
| Opus 5 | $0.00000 | $0.00262 |
| Sonnet 5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
dasheng-daily-brief 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 9d 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
dasheng-daily-brief
接收聚类结果，生成 Brief 和多维评分的环节。
功能
- 接收聚类结果和 197 条选题
- 为每条选题生成 Brief
- 计算多维评分：
- 维度 1: 成稿价值分（0-100，文章/播客/口播适配度）
- 维度 2: 爆款视频潜力分（0-100，短视频火爆程度、传播力）
- 综合评分: 两个维度的加权平均（各占 50%）
- 在飞书创建日期文件夹（YYYY-MM-DD）
- 在文件夹下创建"Brief 库"文档
- 发送 Brief 生成完成消息到群
触发方式
- 群内发送"下一步"触发
输出
- 飞书文档：Brief 库（在日期文件夹下，包含多维评分）
- 群消息：Brief 生成完成，包含文件夹和文档链接
多维评分模型
成稿价值分（article_value）
- 范围: 0-100
- 含义: 文章/播客/口播适配度
- 考虑因素: 内容深度、专业性、可讲述性、质量等级
爆款视频潜力分（viral_potential）
- 范围: 0-100
- 含义: 短视频火爆程度、传播力
- 考虑因素: 话题热度、视觉吸引力、传播力、质量等级
综合评分（composite）
- 范围: 0-100
- 计算: (成稿价值分 × 0.5) + (爆款视频潜力分 × 0.5)
飞书集成
- 自动创建日期文件夹（格式：YYYY-MM-DD）
- 在文件夹下创建"Brief 库"文档
- 文档包含评分维度说明和完整 Brief 列表（含多维评分）
配置
见 config.json
v2.0 更新
- 添加多维评分模型（成稿价值分 + 爆款视频潜力分）
- 添加飞书文件夹管理
- 支持日期命名的文件夹自动创建
- 文档链接包含在群消息中
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.
- 9d ago First seen · 52 lines · 0 tokens per session scan A ad596c0d3a79
dasheng-daily-brief is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 525 tokens. 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 2026-09-03.
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