How do I install the Agent Self Care skill?

Run npx skillmds@latest add knownasnaffy/agent-self-care-3 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agent Self Care safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agent Self Care?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agent Self Care free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Agent Self Care?

knownasnaffy (@knownasnaffy) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agent Self Care by knownasnaffy — Agent Skill

Name: Agent Self Care
Rating: 4.2 (5 reviews)
Author: knownasnaffy

Agent Self Care

Autonomous agent health, optimization, and cleanup. Use when: (1) running scheduled cron jobs for agent maintenance, (2) responding to "optimize", "cleanup", "health check", "clear stalls", or "self-maintain" requests, (3) performing BMAD-style retrospective and continuous improvement, (4) checking sub-agent sessions, process health, memory usage, and context bloat, (5) ensuring fast response times and autonomous operation. This skill handles all self-optimization workflows including stale session cleanup, context compaction, and performance monitoring.

knownasnaffy Updated Sep 22, 2026 0 repo stars

File contents

Cleanup Review

python scripts/_reset_state.py is an optional cleanup helper for the Agent Self-Care skill. It may recursively remove ~/.cache/skill_tmp, ~/.skill_state. Show the exact paths first, explain whether they are skill-private temporary paths or user state, and run the cleanup only after the user confirms.

Agent Self-Care

Autonomous health monitoring and optimization for OpenClaw agents. Runs on cron or triggers manually.

Workflow

1. Check Sub-Agents

subagents action=list

Kill any stale sub-agents:

Running >30 min without progress
In "waiting" state
Failed/errored

2. Check Processes

process action=list

Kill hanging processes:

Running >10 min in background
No output in 5 min

3. Check Session Health

session_status

Metrics to watch:

Context usage >80% → trigger compaction
Tokens growing unbounded
Session age >2 hours → suggest refresh

4. Run Optimization Script

Execute scripts/optimize.sh which:

Clears completed cron job artifacts
Rotates logs if >50MB
Reports health metrics

5. BMAD Retrospective (every 10 runs)

After 10 executions, run:

Score last task 1-10
Identify gaps
Document improvements in memory/daily/YYYY-MM-DD.md
Feed learnings into next run

Cron Schedule

Recommended: Every 5 minutes for active agents.

{
  "name": "agent-self-care",
  "schedule": {"kind": "every", "everyMs": 300000},
  "payload": {"kind": "agentTurn", "message": "Run agent-self-care skill"},
  "sessionTarget": "isolated",
  "enabled": true
}

Output Format

Report after each run:

🔧 Self-Care Report
- Sub-agents: X active, Y killed
- Processes: X running, Y cleared
- Context: X% used
- Health: ✅ GOOD / ⚠️ WARNING
- Retrospective: SKIP / COMPLETE

Key Principles

Always clean - Never leave stalled sub-agents or processes
Proactive - Don't wait for user to ask
Document - Log issues and improvements
BMAD - Continuous self-evaluation every 10 runs
Fast - Complete in <30 seconds

---name: agent-self-care-3description: Autonomous agent health, optimization, and cleanup. Use when: (1) running scheduled cron jobs for agent maintenance, (2) responding to "optimize", "cleanup", "health check", "clear stalls", or "self-maintain" requests, (3) performing BMAD-style retrospective and continuous improvement, (4) checking sub-agent sessions, process health, memory usage, and context bloat, (5) ensuring fast response times and autonomous operation. This skill handles all self-optimization workflows including stale session cleanup, context compaction, and performance monitoring.---### Cleanup Review`python scripts/_reset_state.py` is an optional cleanup helper for the `Agent Self-Care` skill. It may recursively remove ~/.cache/skill_tmp, ~/.skill_state. Show the exact paths first, explain whether they are skill-private temporary paths or user state, and run the cleanup only after the user confirms.# Agent Self-CareAutonomous health monitoring and optimization for OpenClaw agents. Runs on cron or triggers manually.## Workflow### 1. Check Sub-Agents```bashsubagents action=list```Kill any stale sub-agents:- Running >30 min without progress- In "waiting" state- Failed/errored### 2. Check Processes```bashprocess action=list```Kill hanging processes:- Running >10 min in background- No output in 5 min### 3. Check Session Health```bashsession_status```Metrics to watch:- Context usage >80% → trigger compaction- Tokens growing unbounded- Session age >2 hours → suggest refresh### 4. Run Optimization ScriptExecute `scripts/optimize.sh` which:- Clears completed cron job artifacts- Rotates logs if >50MB- Reports health metrics### 5. BMAD Retrospective (every 10 runs)After 10 executions, run:- Score last task 1-10- Identify gaps- Document improvements in `memory/daily/YYYY-MM-DD.md`- Feed learnings into next run## Cron ScheduleRecommended: Every 5 minutes for active agents.```json{ "name": "agent-self-care", "schedule": {"kind": "every", "everyMs": 300000}, "payload": {"kind": "agentTurn", "message": "Run agent-self-care skill"}, "sessionTarget": "isolated", "enabled": true}```## Output FormatReport after each run:```🔧 Self-Care Report- Sub-agents: X active, Y killed- Processes: X running, Y cleared- Context: X% used- Health: ✅ GOOD / ⚠️ WARNING- Retrospective: SKIP / COMPLETE```## Key Principles1. **Always clean** - Never leave stalled sub-agents or processes2. **Proactive** - Don't wait for user to ask3. **Document** - Log issues and improvements4. **BMAD** - Continuous self-evaluation every 10 runs5. **Fast** - Complete in <30 seconds

Frequently asked questions