retro

retro is a Session review & learning skill for AI agents, published by JeremyKalmus in the parade repository on GitHub. Skillspace rates retro F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Analyze epic execution and generate improvement recommendations. Reads telemetry data, calculates efficiency score, and proposes workflow improvements. Use after epic completion or to review recent executions.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
27

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.

Our review

Architecture
77 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 1 other repositories, in 0 collections

What the scanner flagged

  • dynamic code execution (eval/exec)
  • mentions secrets in text

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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.