eweser-retrospective-improver
eweser-retrospective-improver is a Session review & learning skill for AI agents, published by eweser in the eweser-db repository on GitHub. Skillspace rates eweser-retrospective-improver D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill in the EweserDB repo when the user asks to analyze recent Codex session performance, agent flailing, context bloat, missing background knowledge, weak prompts, poor skill triggering, repeated sidequests, or adoption of INDEX.md and code-map/graph lookup workflows. Runs the local session retrospective tooling, inspects high-signal evidence, and makes targeted improvements to skills, workflow docs, indexes, helper scripts, or retrospective heuristics so future agents get relevant context faster.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 48
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 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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