The repository-evaluation lens: judge whether a repo is worth your time in a few minutes — by SCANNING its dashboards, not reading its code — scoring three axes: ALIVE, HEALTHY, and WELL-BUILT. The one shift: an agent can check fifty repos in seconds but over-trusts the two signals easiest to fake — star count and a polished README — exactly what an abandoned or AI-generated, star-farmed repo wears best; so touchstone INVERTS the weighting, discounting the gameable signals and weighting the un-fakeable ones (commit substance, issue-response quality, bus factor, real "Used by", tests and CI). Use when sizing up a repo or a batch before depending on, contributing to, or learning from it; or to vet a shortlist from forage. Triggers on "is this repo any good", "should I use/trust this library", "evaluate this project", "is this maintained", "is this AI-generated slop", "compare these repos", "vet this dependency", "rate this GitHub project". Hands deep-dive survivors to the engineering suite.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
The repository-evaluation lens: judge whether a repo is worth your time in a few minutes — by SCANNING its dashboards, not reading its code — scoring three axes: ALIVE, HEALTHY, and WELL-BUILT. The one shift: an agent can check fifty repos in seconds but over-trusts the two signals easiest to fake — star count and a polished README — exactly what an abandoned or AI-generated, star-farmed repo wears best; so touchstone INVERTS the weighting, discounting the gameable signals and weighting the un-fakeable ones (commit substance, issue-response quality, bus factor, real "Used by", tests and CI). Use when sizing up a repo or a batch before depending on, contributing to, or learning from it; or to vet a shortlist from forage. Triggers on "is this repo any good", "should I use/trust this library", "evaluate this project", "is this maintained", "is this AI-generated slop", "compare these repos", "vet this dependency", "rate this GitHub project". Hands deep-dive survivors to the engineering suite.
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
The repository-evaluation lens: judge whether a repo is worth your time in a few minutes — by SCANNING its dashboards, not reading its code — scoring three axes: ALIVE, HEALTHY, and WELL-BUILT. The one shift: an agent can check fifty repos in seconds but over-trusts the two signals easiest to fake — star count and a polished README — exactly what an abandoned or AI-generated, star-farmed repo wears best; so touchstone INVERTS the weighting, discounting the gameable signals and weighting the un-fakeable ones (commit substance, issue-response quality, bus factor, real "Used by", tests and CI). Use when sizing up a repo or a batch before depending on, contributing to, or learning from it; or to vet a shortlist from `forage`. Triggers on "is this repo any good", "should I use/trust this library", "evaluate this project", "is this maintained", "is this AI-generated slop", "compare these repos", "vet this dependency", "rate this GitHub project". Hands deep-dive survivors to the engineering suite.
About this listing
Category
General
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.