dportsv3-agentic-analysis
dportsv3-agentic-analysis is an LLM evaluation & observability skill for AI agents, published by DragonFlyBSD in the DeltaPorts repository on GitHub. Skillspace rates dportsv3-agentic-analysis D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze how the DeltaPorts agentic loop (triage → patch; convert retired in Step 48 — archived bundles may still show it) handled a given port. Use when the user says "analyze port X" or "analyze the agentic run for X". Produces a structured report covering correctness, efficiency, and bugs against the current code's expected behavior. This skill is constantly improving — when you spot a new failure mode or expected-behavior gap, note it at the end of the report under "Skill update suggestions" so it can be folded back in.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 34
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
- 87 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- 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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