Practical AI Radar decision tool

Repository adoption scorecard

Pin the exact revision, write down the intended use, and retain evidence for every score before starting a bounded pilot.

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A high score is not a safety verdict

Unknowns should remain unknown. Automated checks, repository activity, and documentation cannot prove secure code or production fitness.

01

Pin the decision context

A result without a target revision and intended use cannot be reproduced or compared later.

02

Score only recorded evidence

Use N/A only with a written reason; excluded checks always require manual review. A blank evidence note leaves the criterion incomplete.

01

License and redistribution

Can the intended use, modification, model or asset license, and redistribution boundary be identified?

02

Release and maintenance path

Do releases, changelogs, issue handling, and upgrade notes support the proposed maintenance window?

03

Reproducible installation

Can a clean environment reproduce the documented install with versions and artifacts pinned?

04

Permissions and secrets

Are tokens, filesystem access, network destinations, tool capabilities, and denial behavior bounded?

05

Exit and rollback

Can data, configuration, and workflows be exported or restored after a failed pilot or upgrade?

06

Maintainer and issue signals

Is maintenance distributed enough, and are high-impact issues triaged in a way the pilot can tolerate?

Recorded result

Waiting for evidence

Complete criteria
0/6
Points
Waiting
Normalized score
Waiting

Any zero rating blocks a pilot recommendation. A complete context, executed installation, permission-denial check, and exercised rollback are required even when the average is high.

Files are created in this browser. This page does not upload repository names, evidence notes, or scores.