free-ai-agent-skills

Security audit tool for AI agent skills. Scans for credential harvesting, code injection, network exfiltration, obfuscation. ALWAYS run before installing any new skill from external sources. Triggers on: new skill installation, skill audit, security scan, skill review, before loading external skill.

Daily knowledge quality audit and inter-agent coordination. Fact-checks memory files, fills knowledge gaps, cleans up quality issues, and routes findings to other agents via an inbox system. Triggers on: knowledge audit, fact check memory, clean up memory, archivist run, inbox check, memory quality.

Automated weekly self-audit of agent operations, cron health, memory gaps, and process failures. Use when performing periodic reviews, operational health checks, identifying automation gaps, surfacing wrong assumptions, or generating improvement recommendations. Triggers on: weekly review, meta-audit, operations audit, what broke this week, process review, improvement cycle, retrospective, week in review.

Composable block system for OpenClaw cron job prompts. Assembles cron prompts from reusable markdown blocks so cross-cutting changes (e.g. git identity, error handling) only need updating in one place. Use when managing multiple cron jobs, authoring a cron manifest, composing blocks into prompts, running cron-compose.py, or asking about cron prompt assembly, block composition, manifest format, or `apply`/`lint`/`diff`/`sync`/`stats` commands.

Track LLM API spend per session and task. Estimate token usage across providers. Warn before you blow your budget.

Diagnose and triage cron job failures. Checks job states, identifies error patterns, prioritizes by criticality, generates health reports. Triggers on: cron failures, job health check, scheduled task errors, cron diagnosis, job not running, backup failed.

Drop into any repo and generate a structured architecture overview. Maps the codebase, identifies entry points, frameworks, and dependencies — then produces a "start here" guide for new contributors.

Pre-commit safety checks for AI-assisted development. Detects secrets, large files, merge conflict markers, sensitive files, and common AI-coding mistakes before they hit your repo.

Proactive self-monitoring of infrastructure, services, and health. Tracks disk/memory/load, service health, cron job status, recent errors. Auto-fixes safe issues. Triggers on: health check, heartbeat, monitor status, service status, infrastructure check.