deploy-aeon-pod
deploy-aeon-pod is an LLM evaluation & observability skill for AI agents, published by AEON-7 in the Aeon-Bench-Pod repository on GitHub. Skillspace rates deploy-aeon-pod C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Use when asked to deploy, stand up, or operate an AEON Bench pod — run a controlled benchmark of an LLM on your own hardware (pull → verify weights → serve → benchmark through text + 3 agentic harnesses + vision/audio/arena/perf → sign → submit attested), or point at an existing endpoint for a quick self-reported run, then read the results. This is the OPERATE-the-system skill; the separate judge skill covers evaluating outputs.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 81 / 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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