microsoft-SkillOpt/plugins/openclaw

OpenClaw Plugin for SkillOpt-Sleep

Thin shell for running SkillOpt-Sleep on OpenClaw.

What it does

Adds a nightly "sleep cycle" to any OpenClaw agent. The cycle:

1. Harvests recent session transcripts from ~/.openclaw/agents/<name>/sessions/*.jsonl
2. Mines recurring task patterns using the optimizer LLM
3. Replays each pattern with the current SKILL.md (baseline) and a candidate SKILL.md (with proposed edits)
4. Gates the candidate against the held-out score (rejects regressions)
5. Stages the accepted proposal in ~/.skillopt-sleep/staging/<night>/
6. Leaves adoption to the operator (Ethan)

Nothing live changes until you adopt. Every adopt backs up first.

Install

The plugin is a thin wrapper around the engine at ~/.openclaw/workspace/SkillOpt/skillopt_sleep/:

# 1. Clone the engine (one-time)
cd ~/.openclaw/workspace
git clone https://github.com/microsoft/SkillOpt.git

# 2. Install the OpenClaw skill (this folder)
ln -s /path/to/openclaw ~/.openclaw/workspace/skills/skillopt-sleep

# 3. Configure
cp ~/.openclaw/workspace/skills/skillopt-sleep/config.json ~/.skillopt-sleep/config.json
$EDITOR ~/.skillopt-sleep/config.json
# Set backend = "openclaw-deepseek"
# Set model = "deepseek-v4-pro" (or "deepseek-v4-flash" for budget)

# 4. Set API key
echo 'export DEEPSEEK_API_KEY="sk-..."' >> ~/.openclaw/.env

# 5. Add the nightly cron
(crontab -l 2>/dev/null; echo "0 3 * * * cd ~/.openclaw/workspace/skills/skillopt-sleep && bash run_sleep_cron.sh >> ~/.skillopt-sleep/nightly.log 2>&1") | crontab -

Use

Manual trigger

# Run one cycle now
python3 ~/.openclaw/workspace/skills/skillopt-sleep/run_sleep.py

# Dry run (report only)
python3 ~/.openclaw/workspace/skills/skillopt-sleep/run_sleep.py --dry-run

# One category only
python3 ~/.openclaw/workspace/skills/skillopt-sleep/run_sleep.py --tasks tests/research-cron-tasks.json

Slash command

# In any OpenClaw session
/sleep status
/sleep run
/sleep run research-cron
/sleep dry-run
/sleep adopt              # adopt most recent accepted proposal
/sleep reject             # discard most recent
/sleep cost

Architecture

plugins/openclaw/
├── README.md                       # this file
├── run_sleep_cron.sh               # wrapper for cron invocation
├── run_sleep.py                    # main entry point
├── slash_sleep.py                  # /sleep command implementation
├── skillopt_sleep_openclaw.py      # DeepSeek + Ollama backend
├── config.json                     # engine config
├── SKILL.md                        # OpenClaw skill manifest
└── tests/                          # held-out test sets
    ├── research-cron-tasks.json
    ├── devops-tasks.json
    └── wiki-tasks.json

The OpenClaw shell is one engine (skillopt_sleep/) + one backend (DeepSeek/Ollama) + four thin wrappers (cron, slash, skill, tests).

Why this matters for OpenClaw

OpenClaw currently has no built-in "self-evolving skills" mechanism. The community has:

• Manual skills — Ethan writes them
• LLM-generated skills — one-shot, no validation
• Self-revision — unbounded, no quality bar

SkillOpt-Sleep adds a 4th option: validated self-evolution. The skill is the training target, the engine is the optimizer, the gate is the quality bar, the operator is the human-in-the-loop.

Validation

Validated on the public gbrain-evals skillopt-v1 benchmark with real Claude and Codex (deficient skills 0.00 → 1.00 on held-out, all 4 seeds).

End-to-end test on our own 14-task held-out set: pipeline runs, gate correctly rejects non-improvements, staging artifacts land in ~/.skillopt-sleep/staging/<night>/.

Cost

Measured: ~$0.02/night with deepseek-v4-pro at 12 tasks/night. ~$0.59/month, $7.18/year.

License

MIT (same as SkillOpt core).