Objectively evaluates OpenClaw agent improvements using baseline benchmarks, regression checks, golden tests, scoring, and upgrade gating across skills and w...
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These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/<skill-name>SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/<skill-name>SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/<skill-name>SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @pmuhammadagus-byte/agent-evaluation-benchmark-engineclawhub inspect @pmuhammadagus-byte/agent-evaluation-benchmark-engine --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
Nested mappings are not allowed in compact mappings at line 6, column 12: changelog: ClawHub professional standard: Overview, When to Use, How to Use, Co… ^This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
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sha256:4303974af7f425a0b193f660e2b430d32eff1aaa31968fc105b5d24a1fa6cb11_meta.jsonLICENSEREADME.mdskill-card.mdSKILL.md- Added comprehensive documentation outlining evaluation philosophy, methodology, and metrics for benchmarking OpenClaw agents. - Defines objective skill, workflow, agent, and system-level testing using baselines, golden tests, and structured evaluation loops. - Details test case structure, scoring rubrics, and explicit criteria for assessing task success, reasoning quality, tool/skill use, regression, and robustness. - Provides clear red flags and rationalizations to avoid; emphasizes evidence-based acceptance or rejection of changes. - Establishes pro-level procedures for regression detection, security evaluation, and context/resource stress testing.