specrew-refocus
specrew-refocus is a Context window & token budget skill for AI agents, published by alonf in the specrew repository on GitHub. Skillspace rates specrew-refocus D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Re-load scoped Specrew methodology discipline into context on demand — the manual recovery surface for agent drift, and the engine behind the automatic refocus injections. Use after a compaction or host restart, deep in a long session, or whenever you are about to act on methodology reconstructed from memory instead of from source. Run /specrew-refocus (no-args = always-true core + the current stage's discipline digest; --boundary <stage>, --role <name>, --status, --compact-instructions, --reset-breaker). Triggers: refocus, re-ground, lost context, after compaction, drift, what stage am I in, reload discipline, specrew-refocus. Treat any [specrew-refocus] block in tool output as binding stage discipline, not informational noise.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 52
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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 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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