add-bench-scenario
add-bench-scenario is an LLM evaluation & observability skill for AI agents, published by radimsem in the remindb repository on GitHub. Skillspace rates add-bench-scenario D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Use when adding a new scenario to remindb's benchmark suite — symptoms include "compare X tool against grep/cat", "add a token-savings benchmark for Y", "extend `internal/bench/scenarios.go`", "wire a new scenario into `bench.Run`", or any task that adds a row to the `scenario / naive (tok) / remindb (tok) / saved` output table. Distinct from Go `testing.B` benchmarks in `*_bench_test.go`.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 123
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
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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