ta-bench
ta-bench is an Integration & environment testing skill for AI agents, published by TA-Lib in the ta-lib repository on GitHub. Skillspace rates ta-bench D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Benchmarking TA-Lib — ta_bench, ta_bench_direct, ta_bench_stream, ta_bench_icount and scripts/stream_ab.py, what each ratio actually compares (the six-binary build matrix), streaming vs batch, instruction counts, and the --shape= input corpus. Use when running a benchmark in this repo, interpreting a speedup or ratio, or defending a performance number.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 1,673
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
- 96 / 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
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