etm-trace
etm-trace is a Runtime diagnostics & profiling skill for AI agents, published by hathach in the tinyusb repository on GitHub. Skillspace rates etm-trace D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Use when you need instruction-level execution data from real hardware via a SEGGER J-Trace — cycle-accurate hot-function profiling, on-target code coverage, or raw instruction history (e.g. what ran right before a fault/hang) — beyond what logs, GDB, or DWT PC-sampling can answer. Covers unattended (headless) capture and analysis on ETM-capable TinyUSB boards.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 7,091
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.