shadow
shadow is a Session review & learning skill for AI agents, published by tkersey in the dotfiles repository on GitHub. Skillspace rates shadow C (79/100) and it passed the safety scan; the rating is based on static analysis only.
Watch exactly one Codex session through one target-skill lens and emit only decision-relevant deltas. Prefer `seq skill-decision-audit --mode delta` for `$shadow $tune`; use for shadow/tail/follow/monitor one session, missed or contrary skill decisions, validation/outcome changes, worker decisions, or goal-cycle status. Do not scan broad history, inspect raw JSONL, create a second continual controller, or repeat full analysis when the cursor contains no new decision evidence.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 63
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
- 97 / 100
- Maturity
- Structured: ships references or scripts
- 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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