dependency-refresh
dependency-refresh is a Session continuity & handoff skill for AI agents, published by JoshuaC215 in the agent-service-toolkit repository on GitHub. Skillspace rates dependency-refresh D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Run a dependency & version refresh for this repo: Python libraries in pyproject.toml/uv.lock, Docker base images, GitHub Actions pins, the uv CLI version (CI + README + Dockerfiles), the supported Python range, and the infra images (postgres/mongo/LangFuse) used by compose and the smoke tests. Use when asked to "update dependencies", "bump versions", "do a dependency refresh", or on the scheduled monthly dependency-refresh run. Self-contained playbook; prior state (deferred majors, cooldown dates) lives in the previous refresh PR, which Step 0 tells you how to find.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 4,485
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
- 76 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
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