analyze-job-history-iris
analyze-job-history-iris is a Runtime diagnostics & profiling skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates analyze-job-history-iris D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Run the Iris harbor job-history analyzer (scripts/iris/analyze_job_history.py) on a datagen/eval job and read its JSON sidecar for trustworthy throughput / preemption / productive-trial stats. Use whenever a status check needs REAL metrics (gen tok/s, cycles, non_empty rate, harbor exceptions) instead of an eyeballed log tail. It now queries the finelog log store directly (live ∪ GCS, deduped) — FAST (seconds, not minutes) and it ASSERTS completeness across all preempted attempts/generations, failing loud rather than returning fragments.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 259
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
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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