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/sandbaseai/sandbase-skills/document-parsernpx skills add sandbaseai/sandbase-skills --skill document-parsergit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWhat 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 | $0.00041 | $0.00316 |
| Opus 5 | $0.00020 | $0.00158 |
| Sonnet 5 | $0.00008 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
document-parser 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 3d 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 Parser
Parse and extract structured content from PDFs, Word documents, and other file formats. Converts documents into clean, machine-readable text for analysis, summarization, data extraction, and content processing workflows. Read the API map before selecting a capability.
Call SandBase capabilities
For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.
Available Tools
agentbody_document_parse
Workflow
- Understand the user's research question, target, and context.
- Call
sandbase_describe_toolfor each selected tool to confirm parameter schema. - Call
sandbase_call_toolwith the exact tool_name and schema-defined arguments. - Synthesize findings into a clear, evidence-backed answer.
- Cite sources, note evidence gaps, and separate observations from interpretations.
Guidelines
- Always call
sandbase_describe_toolbefore using any capability. - Cite sources and preserve attribution (URLs, usernames, dates, metrics).
- Separate factual observations from analysis and recommendations.
- If data is unavailable, note the gap and continue with available evidence.
- Read-only research only. Never take actions on platforms.
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.
- 3d ago First seen · 33 lines · 41 tokens per session scan A 2ee9da6cb827
document-parser is a skill published in the GitHub repository sandbaseai/sandbase-skills (97 stars, last pushed 6d ago), licensed Apache-2.0. It adds 41 tokens to every session and 316 once invoked, about $0.0002 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
pdf-extract
Extract text and tables from PDF files into clean Markdown. Use when the user shares a PDF or asks to read, summarize, or convert one.
nature-reader
Build full-paper Chinese-English side-by-side, figure/table/equation-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read a paper, make 中英文对照/原文对照/全文翻译解读, render equations instead of exposing raw…
pdf-toolkit
PDF 工具箱 - 合并/拆分/提取文字/转图片,纯命令行处理本地 PDF.
download-fulltext-pdf
当用户明确要求"下载文献全文"或"获取论文PDF"时使用。通过 DOI 号下载学术论文全文 PDF,支持 arXiv、Sci-Hub、Unpaywall、期刊官网等多源策略。⚠️ 不适用:用户只是想解析或处理已有的 PDF 文件(应使用 pdf skill)、只是想搜索论文信息而无需下载全文、没有提供 DOI/标题/BibTeX 任何标识符。.
write-docs-cn
Skill "write-docs-cn" from pingfanfan/hello-dsh, covering 写项目文档, 放在哪, readme 的结构, 名字 and 安装 / 快速开始.
write-tech-cn
当需要写中文技术文档、README、博客、教程或技术说明时使用——去掉翻译腔和 AI 味,先给结论和可执行动作,术语中英混排按中文习惯处理。.