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 lazysheep-z/apdr-product-design-runtime --skill document-iogit clone --depth 1 https://github.com/lazysheep-z/apdr-product-design-runtimeWrote 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/lazysheep-z/apdr-product-design-runtime/document-io)<a href="https://agentmods.dev/skills/lazysheep-z/apdr-product-design-runtime/document-io"><img src="https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/document-io/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/lazysheep-z/apdr-product-design-runtime/document-io"><img src="https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/document-io.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 | $0.00076 | $0.00630 |
| Opus 5.5 | $0.00030 | $0.00252 |
| Sonnet 5.5 | $0.00015 | $0.00126 |
| Haiku 4.5 | $0.00008 | $0.00063 |
Grade A, and why
apdr-document-io 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 27d 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
Document I/O (APDR)
横切能力:本地办公文档读写 + 结构化共创。飞书云文档见 skills/feishu-lark/SKILL.md。
External skills(vendor)
| Skill | Path | 用途 |
|---|---|---|
| docx | vendor/anthropic-skills/docx/SKILL.md |
读/写/改 Word |
vendor/anthropic-skills/pdf/SKILL.md |
读/写 PDF | |
| pptx | vendor/anthropic-skills/pptx/SKILL.md |
演示稿 |
| xlsx | vendor/anthropic-skills/xlsx/SKILL.md |
表格导入(字段词典、清单) |
| doc-coauthoring | vendor/anthropic-skills/doc-coauthoring/SKILL.md |
长文档共创工作流 |
Source: anthropics/skills
APDR 阶段映射
| 阶段 | 典型用法 |
|---|---|
| intake / requirements | 用户丢来 Word/PDF 需求 → 转 markdown → 写入 ProjectBrief / RequirementsAnalysis |
| prd | 可选导出 projects/{id}/exports/prd.docx 或 pptx 大纲(canonical 仍是 MCP PRD JSON) |
| handoff | 可选导出交接 Word/PDF;ADR 仍用 markdown |
| quality_eval | 不把 Office 文件当质量真相源 |
Workflow
- 判断介质:本地 Office → 本 skill;飞书 URL/token →
skills/feishu-lark/SKILL.md - 读取:按对应 anthropic skill 提取正文 → 落到
projects/{id}/research/或exports/ - 必须把结构化结论
write_artifact进 MCP;禁止只改本地文件就算阶段完成 - 导出:从 approved artifact 生成 Office 文件时,在
provenance.notes记录本地相对路径(不要写绝对用户路径)
Do not
- 把
.docx/.pdf当流水线唯一真相(artifact JSON 优先) - 把个人路径、邮箱、密钥写进 artifact 或仓库
- 默认提交二进制 Office 到 git(仓库
.gitignore已忽略*.docx等)
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.
- 27d ago First seen · 46 lines · 76 tokens per session scan A 8a8c91dfc0d3
apdr-document-io is a skill published in the GitHub repository lazysheep-z/apdr-product-design-runtime (3 stars, last pushed 3d ago), licensed MIT. It adds 76 tokens to every session and 630 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-21.
Other skills, from other repositories
doc-reader
Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code files. Use the readdocument tool.
surfsense-documents
Make or change a Word document (.docx), a PDF, a PowerPoint deck (.pptx) or an Excel workbook (.xlsx) by writing a Python script that surfsenserenderdocument runs, optionally starting from a source's own Word or PowerPoint file. Load it whenever the user asks for one of these, or for a change to one you made.
xberg-extracting-tables
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
report-generator
A report-generation tool for producing SEO and GEO analysis reports in formats such as Markdown, HTML, PDF, JSON, and Excel. It also supports charts, templates, data processing, and interactive report elements.
kordoc
A command-line and server tool for reading and creating Korean official documents, including HWP, HWPX, PDF, DOCX, and spreadsheet files. It can convert documents to Markdown and create or update HWPX files.