agent-lint 是做什麼的?
Static linter for AI agent configs (skills, rules, hooks, plugins). Catches vague triggers, unsafe commands, missing metadata, and trust issues. Runs as a read-only MCP server — one command setup, auto-triggers on edit.
Static linter for AI agent configs (skills, rules, hooks, plugins). Catches vague triggers, unsafe commands, missing metadata, and trust issues. Runs as a read-only MCP server — one command setup, auto-triggers on edit.
agent-lint is a Claude Code agent skill that static linter for AI agent configs (skills, rules, hooks, plugins). Catches vague triggers, unsafe commands, missing metadata, and trust issues. Runs as a read-only MCP server — one command setup, auto-triggers on edit.
npx skills add sonns/agent-lintInstalled? Explore more 研究與資料分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Static linter for AI agent configs (skills, rules, hooks, plugins). Catches vague triggers, unsafe commands, missing metadata, and trust issues. Runs as a read-only MCP server — one command setup, auto-triggers on edit.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.