session-refresh
session-refresh is a Context window & token budget skill for AI agents, published by leopu00 in the job-hunter-team repository on GitHub. Skillspace rates session-refresh C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Doctor-only. Context-refresh round: for each agent session read its real context occupancy (provider client-side command, zero tokens) and refresh ONLY sessions whose context window is >50% full — do a retrospective (capture + interview + analytics), append a dense synthesis to the growing daily journal, then KILL + recreate + resume the session with continuation context, so its context window is cleared without losing where it was. Runs 2× per work window (at +30min and at mid). Skips fresh, low-context (≤50%), and Capitano-parked sessions.
- 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 ('*')
- mentions secrets in text
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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