gas-benchmark
gas-benchmark is an LLM evaluation & observability skill for AI agents, published by NethermindEth in the nethermind repository on GitHub. Skillspace rates gas-benchmark F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Build a diag Docker image, run gas-benchmarks repricing workflow, and analyze results including dotTrace XML reports. Use when asked to "run benchmarks", "trigger gas benchmarks", "benchmark this branch", "profile block processing", or "analyze benchmark run". Supports analyze-only mode for CI integration.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,580
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.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- base64 decode (possible obfuscation)
- over-broad allowed-tools ('*')
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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