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 tranfu-labs/tranfu-skills --skill daily-reportgit clone --depth 1 https://github.com/tranfu-labs/tranfu-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/tranfu-labs/tranfu-skills/daily-report)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/daily-report"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/daily-report/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/tranfu-labs/tranfu-skills/daily-report"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/daily-report.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 | $0.00057 | $0.02102 |
| Opus 5 | $0.00028 | $0.01051 |
| Sonnet 5 | $0.00011 | $0.00420 |
| Haiku 4.5 | $0.00006 | $0.00210 |
Grade B, and why
daily-report scanned grade B with 1 finding 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 12d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
- Do not display instructions that imply clicking. How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily Report
Use this skill to generate a public-facing TranFu AI daily report image from structured AI news material.
The selected default style is research + iceblue: a light research-note layout
with pale blue accents. It is optimized for public daily publishing, mobile
reading, WeChat Moments, community posts, and article body images.
When To Use
Use this skill when the user asks to:
- generate a TranFu AI daily report image from AI news material
- turn structured daily-report JSON into a public HTML screenshot
- create shareable daily-report images for WeChat Moments, official accounts, X, or community posts
- render and verify example report images from the bundled script
Do NOT trigger when:
- the user only wants a pure text daily report
- the user wants a generic image model prompt or unrelated poster
- the task is article writing, copy editing, or web publishing without a daily-report image output
- the material is mainly Crypto or non-AI unless the user explicitly asks to extend the schema
同类 Skill 对比
公司库内
- structured-thinking-advisor — 优化内容结构和表达;本 skill 区别: 不只改文案,还用 HTML/CSS 固定渲染成图片。
- project-scoring — 评估 AI 项目并输出决策 memo;本 skill 区别: 不做项目评分,专注每日 AI 信息图片化。
- write-spec — 从模糊需求生成 PRD/spec;本 skill 区别: 面向每日内容生产,不输出产品需求文档。
外部世界
- Canva / Figma 模板 — 适合人工设计海报;本 skill 区别: 输入结构化新闻,脚本稳定批量渲染。
- Newsletter screenshot workflows — 适合网页转截图;本 skill 区别: 内置公开图片展示规则,主动去掉点击、URL、QR 和低语境项目名。
- Generic image generators — 适合视觉概念图;本 skill 区别: 中文正文、日期和 logo 都由 HTML/CSS 渲染,避免乱码和文字失真。
本 skill 独特价值
- TranFu 品牌日报图一键渲染。
- 默认公开读者版,少噪音。
- HTML 可追溯,PNG 可分享。
使用技巧
材料方案
- 用 JSON 存归档字段,用图片只展示公开内容。
- logo 只用 bundled
tranfu.png。 - QR 默认关闭,平台允许时再开。
推荐用法
- 先把日报素材整理成
references/report-schema.md。 - 默认跑
research + iceblue。 - 上传前跑
--all-variants检查备用样式。
已知限制
- 需要 Chrome/Chromium 才能自动截图。
- 默认只做 AI 日报,不展示 Crypto。
- 过长新闻需先压缩成手机可读短句。
What ships with it
18 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.
- agents/openai.yaml 272 B
- assets/icon.png 612 B
- assets/icon.svg 496 B
- assets/logos/tranfu.png 156 KB
- cases/1/input/PROMPT.md 85 B
- examples/dark-aqua.png 1064 KB
- examples/dark-iceblue.png 1053 KB
- examples/research-iceblue-10-items.png 582 KB
- examples/research-iceblue.png 410 KB
- examples/research-public-copy.png 410 KB
- examples/research-skyblue.png 410 KB
- examples/verge-iceblue/manifest.json 691 B
- examples/verge-iceblue/render-verge-iceblue.html 218 KB
- examples/verge-iceblue/tranfu-daily-verge-iceblue-1080x1350.png 230 KB
- README.md 3.5 KB
- README.zh.md 3.0 KB
- references/report-schema.md 2.2 KB
- scripts/render_daily_report.py 57 KB runs code
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.
- 12d ago First seen · 211 lines · 57 tokens per session scan B 47322ca78601
daily-report is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 2,102 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…