Skillsaw: Linter for files that steer AI coding agents
Open-source linter for files that steer AI coding agents (skills, CLAUDE.md). It flags vague instructions, contradictions, embedded secrets, and can auto-fix many issues.
Showing 1-9 of 9
Open-source linter for files that steer AI coding agents (skills, CLAUDE.md). It flags vague instructions, contradictions, embedded secrets, and can auto-fix many issues.
CI-medic auto-summarizes failed CI runs into 1–3 diagnostic bullets, redacts secrets, and suggests next steps. Single-repo proof-of-concept in ~60–120 minutes; explore trade-offs.
Practical Musts guide: configure a fast CI validation loop (lint, tests, commands) so AI-opened pull requests are blocked from merging until checks pass. Includes setup and rollout tips.
Use DoneSpec to convert ambiguous agent outputs into deterministic PASS/FAIL validators, enabling CI gating, automated retries, and measurable pass-rate observability.
Flightplanner makes short, human-readable product specs the canonical source for end-to-end checks, reducing brittle test upkeep as AI agents raise integration churn.
Litmus records complete LLM agent executions (prompts, tool calls, outputs) so teams can deterministically replay failures, inject faults, and gate regressions in CI.
A commit-gated pipeline (Prompt→LLM→Validation→Normalizer→Retry→Commit) keeps AI-generated structured files off disk until they pass schema checks, revealing schema gaps.
ClawCare scans AI agent skills for risky patterns before merge and runs a runtime guard to block dangerous commands in real time. Includes CI gate guidance and deploy tips.
Simulate conversations across Retell, VAPI, LiveKit and Bland with Voicetest. It normalizes configs via an AgentGraph IR, scores turns with LLM judges, and adds compliance checks.