learn
learn is an Engineering planning & specs skill for AI agents, published by CERTCC in the Vultron repository on GitHub. Skillspace rates learn D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Promote lessons learned from the build process into durable specifications and design notes. First refreshes docs/reference/codebase/ via acquire-codebase-knowledge, then reads plan/incoming/learnings/ and queries GitHub for open type:Concern issues (both as input queues), analyzes gaps, interviews the user with grill-me to align on scope, then writes to specs/, notes/, and AGENTS.md, opens a docs-only PR with the specs-notes label, and archives processed entries. Use when build execution has produced insights that should be reflected in specs or notes. For external ideas (GitHub Idea-type issues), use `plan-issue` instead.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 21
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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