tma1
tma1 is an LLM evaluation & observability skill for AI agents, published by tma1-ai in the tma1 repository on GitHub. Skillspace rates tma1 D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Query TMA1 observability data (Claude Code, Codex, GitHub Copilot CLI, OpenClaw, any OTel SDK). Use when the user asks: how much did I spend, token usage, what has my agent been doing, agent cost, show me traces, show me events, check for errors, model comparison, tool usage.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 109
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 89 / 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
- 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.