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Explore / Document Extraction Skill
SkillRisk reviewedmedium risk

Document Extraction Skill

Skill profile for extracting structured tables and facts from PDF and office documents.

DocsDirectory
Preview · 94

Preview: the curated catalog plus the latest auto-checked entries. 47 newly auto-checked

67/100
Recommended
Confidence: medium
65/100
Benchmark
Confidence: medium
Trial candidateRisk reviewed · Seed profile normalized into AgentMaps schema.
Why
Recommendation 67/100, fits File / Document, setup is easy.
Best for
Developers using Claude for file / document workflows.
Not for
Users expecting a fully managed marketplace install flow.
Boundary
Checked up to "Risk reviewed"; deeper install and interface testing isn't covered yet — confirm in your own environment.
Remaining risk
Risk appears manageable for personal developer workflows when configured narrowly.
Next step
Open the source docs and compare 2-3 candidates for your task before trial.
Ready for low-risk trial
Open the source docs and compare 2-3 candidates for your task before trial.

What it is good for

Skill profile for extracting structured tables and facts from PDF and office documents. AgentMaps treats this as a skill candidate and scores it with a capped benchmark score plus a separate recommendation score that includes trust, platform fit, setup preference, and risk preference.

Use cases

  • - Read local documents
  • - Create structured files
  • - Validate generated artifacts
  • - Query structured data
  • - Transform records

Best for

  • - Developers using Claude for file / document workflows.
  • - Teams that want visible setup, verification, and risk evidence before adoption.

Not for

  • - Users expecting a fully managed marketplace install flow.
  • - Users who need enterprise SSO controls.

Limitations

  • - Scenario-level L5-L7 benchmark testing is not part of the current MVP record.
How it runsCopilot capability

How to use it & what to watch

Best used as a copilot capability; AI suggests and drafts, while the user owns execution and adoption.

What you'll see

  • Start from your task and the platform you use
  • Review its setup, source, and permission scope
  • Try it first in an isolated or low-permission environment
  • Note the trial result before rolling it out to the team

Where you can step in

  • Adjust task/platform filters
  • Add to compare
  • Open the source to check
  • Stop a high-risk adoption
  • Add what you've learned

Actions needing approval

  • Local directory scope approval

If something goes wrong

  • On trial failure, fall back to source docs, alternatives, or submit what you found for review.

How to judge a trial

  • Can you find a task-fit candidate within two minutes
  • Can it explain why it's recommended and where it doesn't fit
  • Can you see the token, write, shell, network, or local-file risks
  • Can you tell 'checked the docs' apart from 'actually verified in a run'
  • If a trial fails, is there a fallback or a way to take over manually

Verification evidence

Below is the result of each check — passed, partial, skipped, or not yet tested. It shows how far checking has gone, not that the capability is cleared for production use.

Info checked

Source, docs, license, or package metadata exists.

passed
Risk reviewed

Static review assigns permission and risk boundaries.

passed
Install-verified

Install path can be checked, but not necessarily in your environment.

skipped
Interface-verified

Interface or entrypoint parsed; not a production safety approval.

skipped
  • Seed profile normalized into AgentMaps schema.
  • Source and documentation fields are present.
  • Static risk flags are assigned.
  • Install verification pending.
  • Interface parsing pending.
  • Benchmark score capped at 65 by L2 verification.

Evaluation summary

Quick estimate
TrialStatic reviewMisfire risk: Low

Risk findings

  • - Local File Access
  • - Sensitive Data

Verified evidence

  • - Seed profile normalized into AgentMaps schema.
  • - Source and documentation fields are present.
  • - Static risk flags are assigned.
  • - Install verification pending.

Score breakdown

Safety & permissions74
How well it works73
Actively maintained83
Setup & integration86
Interface quality82
Follows standards79
Task fit85
Works across platforms82

Why it scores well

  • - Clear task fit for the selected scenario.
  • - Static verification evidence is available.
  • - Portable across multiple AI clients.

Watch outs

  • - Scenario testing is still pending.
  • - Production adoption still needs local validation.

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