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AI Context Linter
This GitHub Action checks AI coding context files for security issues, structural problems, and anti-patterns.

About AI Context Linter
AI Context Linter is a GitHub Action that checks AI coding context files such as CLAUDE.md, .cursorrules, AGENTS.md, COPILOT.md and similar files. It looks for hardcoded API keys and private paths, structural issues such as missing sections, empty headings or overlong files, and vague, conflicting or redundant instructions.
Security findings are treated as errors that fail the build, while structure and instruction issues are warnings and additional file-type checks are informational. It auto-detects context files in a repository and can be adjusted with file patterns, a token limit, and a config file that disables selected rules.
Key features
- Auto-detects CLAUDE.md, .cursorrules, AGENTS.md and similar files
- Flags hardcoded API keys and private file paths as errors
- Checks structure: length, headings, empty sections, missing description
- Detects vague, conflicting, or redundant AI instructions
- Supports custom config with token limit and disabled rules
- Outputs counts of issues found and files checked
- Open source under MIT license
- Auto-detects common context files without manual file listing
- Supports config file to set token limit and disable rules
AI Context Linter at a glance
- Category
- AI & Machine Learning › AI Coding Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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