diag-tuning
diag-tuning is an Observability & incident response skill for AI agents, published by haumacher in the phoneblock repository on GitHub. Skillspace rates diag-tuning C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Tune the PhoneBlock diagnostics log analysis — inspect aggregated log signatures, find noise / signature fragmentation / PII leaks, and propose, audit and promote scrub rules (and detection rules) over the admin API. Use when asked to look at the diagnostics results, "what rules could we add", reduce log noise, or clean up how server/dongle log lines are grouped. Backed by the local `phoneblock-diag` MCP server.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 326
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
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- 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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