Explore / Docs Migration Agent
Agent TemplateInfo checkedmedium risk

Docs Migration Agent

Plan and execute documentation migrations with broken-link and heading consistency checks.

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Preview · 94

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

51/100
Recommended
Indicative — limited evidence
50/100
Benchmark
Indicative — limited evidence
Needs human reviewInfo checked · Seed profile normalized into AgentMaps schema.
Why
Recommendation 51/100, fits Coding, setup is easy.
Best for
Developers using Codex for coding 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
Review tokens, write access, and network scope in a sandbox before team adoption.
Check before you adopt
This capability uses higher-risk permissions (tokens, write access, shell, and the like). Try it in an isolated environment and confirm what it actually does before using it for real work.

What it is good for

Plan and execute documentation migrations with broken-link and heading consistency checks. AgentMaps treats this as a agent template 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

  • - Review code changes
  • - Inspect repository context
  • - Generate implementation notes
  • - Read local documents
  • - Create structured files

Best for

  • - Developers using Codex for coding 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 runsAgentic workflow

How to use it & what to watch

AI may help filter, explain, and draft a trial plan, but must not perform write, shell, external side effects, or production publishing before review.

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
  • For high-risk actions, wait for a review before continuing

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

  • Approval before writes or state mutation

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
Needs reviewStatic reviewMisfire risk: Medium

Risk findings

  • - Repo Write Access

Verified evidence

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

Score breakdown

Safety & permissions67
How well it works60
Actively maintained78
Setup & integration81
Interface quality69
Follows standards66
Task fit80
Works across platforms77

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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GitHub MCP Server
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Context7 MCP
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Fetch current library documentation and examples directly into coding agents.

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Supabase MCP
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