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Explore / Contract Review Skill
SkillInfo checkedmedium risk

Contract Review Skill

Extract obligations, risky clauses, dates, and unresolved questions from legal documents.

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Preview · 94

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

54/100
Recommended
Indicative — limited evidence
50/100
Benchmark
Indicative — limited evidence
Compare firstInfo checked · Seed profile normalized into AgentMaps schema.
Why
Recommendation 54/100, 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 "Info checked"; 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

Extract obligations, risky clauses, dates, and unresolved questions from legal 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
  • - Gather sources
  • - Compare claims

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

  • Source review before low-permission trial

If something goes wrong

  • When evidence is thin, compare alternatives before any automated adoption.

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.

skipped
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 audit pending.
  • Install verification pending.
  • Interface parsing pending.
  • Benchmark score capped at 50 by L1 verification.

Evaluation summary

Quick estimate
TrialStatic reviewMisfire risk: Low

Risk findings

  • - Sensitive Data
  • - Human Review Required

Verified evidence

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

Score breakdown

Safety & permissions74
How well it works57
Actively maintained75
Setup & integration78
Interface quality66
Follows standards63
Task fit77
Works across platforms65

Why it scores well

  • - Clear task fit for the selected scenario.
  • - Ready for metadata review.
  • - Focused platform fit.

Watch outs

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

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OpenAI Agents SDK Template
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