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 davidtoby/agent-skills --skill chinese-pdf-reportgit clone --depth 1 https://github.com/davidtoby/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/davidtoby/agent-skills/chinese-pdf-report)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/chinese-pdf-report"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/chinese-pdf-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/davidtoby/agent-skills/chinese-pdf-report"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/chinese-pdf-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 | $0.00080 | $0.05100 |
| Opus 5 | $0.00040 | $0.02550 |
| Sonnet 5 | $0.00016 | $0.01020 |
| Haiku 4.5 | $0.00008 | $0.00510 |
Grade A, and why
chinese-pdf-report 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.
How it starts
The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chinese PDF Report
Generate Chinese-first PDF reports with explicit font control. Prefer deterministic rendering over convenient but fragile HTML pipelines when Chinese readability matters.
Quick start
- Start from clean Markdown or structured text.
- Check local Chinese fonts before choosing a renderer.
- If HTML-to-PDF already produced garbling, stop iterating on CSS first.
- Prefer a renderer that can explicitly register and embed Chinese fonts.
- Use Songti-style body text and Heiti-style headings for formal Chinese reports unless the user asks otherwise.
- Export, then verify the PDF visually.
Default workflow
1. Diagnose the failure mode
Classify the problem before fixing it:
- 乱码 / missing glyphs: the renderer is not embedding or resolving Chinese fonts correctly.
- 字体丑 / texture feels wrong: the font fallback is technically working but the chosen font is poor for long-form Chinese reading.
- HTML path keeps drifting: CSS is being applied inconsistently, relative paths are wrong, or the PDF engine has weak font support.
2. Check fonts on the machine
On macOS, inspect available Chinese fonts first.
Example:
fc-list :lang=zh family file | head -n 80
Useful families commonly present on macOS:
Songti SCfor body textHeiti SCfor headingsKaiti SCfor quotes or accentsPingFang SCis visually good, but some toolchains cannot register its outlines directly
3. Choose the rendering path
Use this order of preference:
- ReportLab or another explicit-font PDF generator for Chinese-heavy formal reports
- HTML-to-PDF only when the engine is known to embed the chosen Chinese fonts correctly
- Browser-print pipelines only when typography has already been validated on this machine
Important: if PingFang SC or Hiragino Sans GB fails to register in a Python PDF library because of outline support issues, fall back to Songti SC, Heiti SC, or Kaiti SC instead of forcing it.
4. Apply a sane Chinese report style
What ships with it
6 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 · 425 lines · 80 tokens per session scan A cff764f2a1e2
chinese-pdf-report is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 5,100 once invoked, about $0.0004 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 2026-08-31.
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