daily-restart-wave
daily-restart-wave is an Agent runtime & coordination infrastructure skill for AI agents, published by leopu00 in the job-hunter-team repository on GitHub. Skillspace rates daily-restart-wave C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Pre-emptive mass-restart of every team agent once per 24h for context freshness. Owned by the Dottore. Runs only inside a narrow daily window (default 03:00 UTC ± 30 min) and only if no wave has fired in the last 23h. Each agent is killed + respawned via the same atomic sequence of `liveness-check` Step 3, ordered tier 3 → tier 2 → tier 1 so the workers cycle first and the coordinators (Capitano/Sentinella/Mentor/Assistente) last. Background: Codex/Kimi long-lived sessions accumulate "noise" — old decisions, stale facts, prompt drift — and become measurably less lucid after hours. Empirical evidence from Case Study #1 (Codex run 2026-05-19/21): manual mass-restart restored decision quality. This skill closes that gap without manual intervention.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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