dial9-trace-recipes
dial9-trace-recipes is a Runtime diagnostics & profiling skill for AI agents, published by dial9-rs in the dial9 repository on GitHub. Skillspace rates dial9-trace-recipes D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnostic recipes for common questions about dial9 Tokio runtime traces. Covers finding long polls, task leaks, worker utilization, blocking calls, wake chains, span analysis, task dumps, time-window debugging, and estimating allocation totals from sampled `Alloc` events. Use when answering specific diagnostic questions about trace data.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 409
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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