research-reflection
research-reflection is a Session review & learning skill for AI agents, published by beita6969 in the ScienceClaw repository on GitHub. Skillspace rates research-reflection D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Reflect on completed research tasks to improve future performance. Use when: a research task has just been completed and the agent should evaluate its own process, store lessons learned, or retrieve past reflections before starting new work. NOT for: active research execution or data analysis.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 866
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
Not checked 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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