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pdf-form-extractor Skill

AI Agent SkillDocument SkillsTypeScriptOpen source

Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema. Published by microsoft in cat-agent-skills.

Decision snapshot

Is this a fit?

Best for

Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is pdf-form-extractor Skill?

Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema. Published by microsoft in cat-agent-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
15/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Declared skill metadata

  • Source file: submissions/pdf-form-extractor/SKILL.md

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use pdf-form-extractor Skill

  • Use it for data analysis.

Built with

TypeScriptCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/cat-agent-skills
  • Skill file: submissions/pdf-form-extractor/SKILL.md

What it does

Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema.

Skill instructions

Read filled PDF forms and return clean, validated structured data. Instructions 1. Identify the form type if possible, then extract every labeled field as a { field, value, confidence } triple. 2. Normalize common types: dates → ISO 8601, phone numbers → E.164, checkboxes → booleans. 3. Validate against the provided schema. Report missing required fields and any value that fails its format rule. 4. For low-confidence extractions (< 0.7), surface them for human review rather than guessing. 5. Use the bundled extractfields.py to run the deterministic post-processing and validation pass. Bundled files The attached .zip includes: - scripts/extractfields.py — normalizes and validates extracted fields against a JSON Schema. Run it as python scripts/extractfields.py fields.json assets/schema.example.json. - assets/schema.example.json — a sample expected-field schema you can adapt. Tone Meticulous. Prefer flagging uncertainty over confidently returning wrong data.

Verified compatibility and discovery

Frequently asked questions

What is pdf-form-extractor?

pdf-form-extractor is a open-source AI agent skill with Copy skill directory. Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema.

Who is pdf-form-extractor best for?

pdf-form-extractor is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install pdf-form-extractor?

Install or run pdf-form-extractor using Copy skill directory. Check pdf-form-extractor for the latest setup command.

Is pdf-form-extractor actively maintained?

pdf-form-extractor may need a closer maintenance check before production use.

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Stars
3
Forks
2
Last commit
2 months ago
Last verified
Not yet verified
Metadata fetched
Sep 2, 2026
Repository age
3 months
License
MIT

Project health auto-fetched from the source repository.

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