lint
SolidRun deterministic static analysis on the full agent setup (CLAUDE.md, skills, commands, hooks, agents, MCP configs). 108 rules + system-level analysis (token budget, trigger overlaps, dependencies). No LLM. Use when the user wants a fast lint check, CI gate, or structural health report.
Install
Quality Score: 82/100
Skill Content
Details
- Author
- redhat-community-ai-tools
- Repository
- redhat-community-ai-tools/harness-eval
- Created
- 3 months ago
- Last Updated
- 4 days ago
- Language
- Python
- License
- Apache-2.0
Bundled in these plugins
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review
Full qualitative review of the agent setup. Reads every file, applies per-component rubrics, runs 21 cross-type optimization checks, and produces KEEP/REVIEW/REMOVE verdicts. Use when the user wants a deep review, redundancy check, or quality assessment of their setup.
lint-agents
Validates required frontmatter fields and body content in every agent and skill file in the pack by running scripts/lint-agents.sh. Interprets failures with specific fix instructions. Use before committing new or modified agents/skills, or as a CI gate. Trigger this when someone says: lint agents, validate agents, check agent files, run lint-agents, validate the pack, check if my agent is valid, did I write the skill correctly.
agent-config-lint
Check agent config for things that break silently on someone else's machine. Use before publishing or committing a SKILL.md, AGENTS.md, CLAUDE.md or llms.txt, before publishing a skill to ClawHub, when a skill "works on my machine" but not for a teammate, when a skill fails to trigger, or when asked to review agent config. Catches references to files that do not exist, absolute paths under the author's home directory, undeclared CLI dependencies, a frontmatter name that does not match the skill's directory, and two skills whose descriptions are so similar the agent fires the wrong one.