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/natsufox/tapestry/exportnpx skills add NatsuFox/Tapestry --skill exportgit clone --depth 1 https://github.com/NatsuFox/TapestryWrote 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/natsufox/tapestry/export)<a href="https://agentmods.dev/skills/natsufox/tapestry/export"><img src="https://agentmods.dev/badge/skills/natsufox/tapestry/export.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 | $0.00058 | $0.01033 |
| Opus 5 | $0.00029 | $0.00517 |
| Sonnet 5 | $0.00012 | $0.00207 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
export 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 4d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tapestry Export
Export knowledge base content to portable file formats: $ARGUMENTS
When to use this skill
Use this skill when:
- A user wants to export, save, download, or share knowledge base content
- The user asks for a PDF, Markdown, or HTML version of a document or the whole KB
- The user wants offline-readable files from the knowledge base
- The user wants to share a chapter or article outside the viewer
Arguments
The argument string may contain any combination of:
- format:
pdf,markdown,html, orall(default:all) - scope:
file,note,feed, orkb(default:kb) - target: a path or partial path to the target artifact (required for
file,note,feedscopes)
Examples:
"pdf kb"— export the entire knowledge base as PDF"html file _data/books/ai/chapter.md"— export one document as HTML"all note _data/notes/2025/03/my-note.md"— export one note in all three formats"markdown feed _data/feeds/2025/03/abc123.json"— export one feed entry as Markdown
Scope Resolution
| Scope | Source files | Notes |
|---|---|---|
file |
Single .md file under _data/books/ |
Path provided by user |
note |
Single .md file under _data/notes/ |
Path provided by user |
feed |
Single .json file under _data/feeds/ |
Exports the body field as Markdown |
kb |
All .md files under _data/books/ recursively |
Entire knowledge base |
Workflow
- Parse the argument to determine format, scope, and target.
- Change to the project root directory.
- Run the export script:
# Export entire KB as PDF
python export/_scripts/export.py --format pdf --scope kb
# Export entire KB in all formats
python export/_scripts/export.py --format all --scope kb
# Export a single document as HTML
python export/_scripts/export.py --format html --scope file --target _data/books/topic/chapter/doc.md
# Export a single note as Markdown
python export/_scripts/export.py --format markdown --scope note --target _data/notes/2025/03/note.md
# Export a single feed entry in all formats
python export/_scripts/export.py --format all --scope feed --target _data/feeds/2025/03/abc123.json
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.
- 4d ago First seen · 107 lines · 58 tokens per session scan A eaa51a7c3cfd
export is a skill published in the GitHub repository NatsuFox/Tapestry (64 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 1,033 once invoked, about $0.0003 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
wechat-article-ingest
微信公众号文章 → Markdown 提取 + A层观点提取 + B层问题链生成。 支持直接链接抓取和 PDF 提取两种方式。.
pdf-processor
Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
add-pdf-reader
Add PDF reading to ClaudeClaw agents. Extracts text from PDFs via pdftotext CLI. Handles WhatsApp attachments, URLs, and local files.
research-to-diagram
深度调研主题并自动生成知识关系图谱PDF。接收研究主题后自动进行网络调研、信息收集、知识整理,最终生成专业的可视化关系图谱。适用于"研究...并做图"、"深度分析...并可视化"、"生成知识图谱"等场景。.
nano-pdf
Edit or create PDFs with natural-language instructions using the nano-pdf CLI. Use when asked to make a PDF, edit a PDF, add pages, change text in a PDF, or convert content to PDF format.
md-to-office
Convert Markdown to Word, PowerPoint, and PDF using Pandoc - the universal document converter.