continual-learning
continual-learning is a Prompt design & optimisation skill for AI agents, published by langchain-ai in the open-swe repository on GitHub. Skillspace rates continual-learning D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Nightly refinement of an existing per-repo review-style prompt using this reviewer's own finding outcomes. Read confirmed (resolved-by-commit / thumbs-up) and dismissed (thumbs-down) findings, promote the bug patterns the team actually fixes, demote the false-positive patterns, reconcile against the current prompt, and save the refined version. Use this once outcomes exist; use bootstrap-repo-analysis for a cold-start repo.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 10,309
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Refines this reviewer agent's own prompt via its proprietary tools
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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