document-parser

A document-processing workflow that extracts structured, machine-readable text from PDFs, Word files, and other supported documents.

In plain words
What is it for?
Use it to turn documents into text for analysis, summaries, structured data extraction, and other content-processing tasks.
Why use it?
It removes the need to copy document contents manually before analyzing, summarizing, or extracting information from them.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/sandbaseai/sandbase-skills/document-parser
Any agent
npx skills add sandbaseai/sandbase-skills --skill document-parser
Clone the repo
git clone --depth 1 https://github.com/sandbaseai/sandbase-skills

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 316 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 3d ago against content hash 2ee9da6cb827, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

research/document-parser/SKILL.md · 33 lines

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

  1. Understand the user's research question, target, and context.
  2. Call sandbase_describe_tool for each selected tool to confirm parameter schema.
  3. Call sandbase_call_tool with the exact tool_name and schema-defined arguments.
  4. Synthesize findings into a clear, evidence-backed answer.
  5. Cite sources, note evidence gaps, and separate observations from interpretations.

Guidelines

  • Always call sandbase_describe_tool before 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.
Files

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.

Changes

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.

  1. 3d ago First seen · 33 lines · 41 tokens per session scan A 2ee9da6cb827

Subscribe to this mod's changes

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.

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