lintlang
Prevents runtime failures and safety issues in agentic systems by catching configuration errors early.
Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime. Zero-LLM, deterministic checks, built for CI.
- Validate agent tool descriptions for clarity and completeness in your CI pipeline
- Find missing stop conditions in AI agent configurations before deployment
- Detect schema gaps in system prompts that could cause runtime failures
Prevents runtime failures and safety issues in agentic systems by catching configuration errors early. Reduces debugging cycles and ensures tool contracts are explicit before deployment.
Platform teams and ML engineers managing multi-agent systems within CI/CD pipelines.
https://github.com/hermes-labs-ai/lintlang
By hermes-labs-ai
How to Get It
claude plugins install hermes-labs-ai/lintlang
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me validate agent tool descriptions for clarity and completeness in my CI pipeline
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 79 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 79 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.