openclaw-reflect
Self-improvement layer with evaluation separation, rollback, and tiered operator gates. Observes outcomes across sessions, detects recurring patterns, proposes improvements, validates proposals through a separate evaluator invocation, and applies changes safely with snapshot/rollback capability.
Best use case
openclaw-reflect is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Self-improvement layer with evaluation separation, rollback, and tiered operator gates. Observes outcomes across sessions, detects recurring patterns, proposes improvements, validates proposals through a separate evaluator invocation, and applies changes safely with snapshot/rollback capability.
Teams using openclaw-reflect should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openclaw-reflect/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openclaw-reflect Compares
| Feature / Agent | openclaw-reflect | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Self-improvement layer with evaluation separation, rollback, and tiered operator gates. Observes outcomes across sessions, detects recurring patterns, proposes improvements, validates proposals through a separate evaluator invocation, and applies changes safely with snapshot/rollback capability.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# openclaw-reflect You have access to a self-improvement system. It observes your tool outcomes across sessions, detects recurring failure patterns, and proposes targeted changes to your persistent memory and instructions. ## Your responsibilities ### During work The PostToolUse hook records outcomes automatically. You do not need to do anything unless you notice a significant failure that has no clear cause — in that case, write a manual observation: ``` node .reflect/scripts/observe.js --manual \ --type error \ --tool "ToolName" \ --pattern "brief description of what went wrong" \ --context "what you were trying to do" ``` ### When prompted (UserPromptSubmit will inject this) If `.reflect/pending.json` contains proposals awaiting operator approval, surface them: "I have improvement proposals ready for your review. Run `node .reflect/scripts/status.js` to see them, or ask me to show you." ### At session end (automatic) The SessionEnd hook runs classification and promotion automatically. It will: 1. Detect patterns with recurrence >= 3 across >= 2 sessions 2. Generate a structured proposal 3. Route to evaluator for validation 4. Apply low-blast-radius approvals to MEMORY.md automatically 5. Queue high-blast-radius or SOUL.md changes for operator approval You will see a summary in the session-end output. ## Blast radius tiers | Tier | Targets | Gate | |------|---------|------| | 0 — Observation | `.reflect/outcomes.jsonl` | Automatic (hooks) | | 1 — MEMORY.md | Factual corrections, preference updates | Auto-apply if confidence >= 0.7 | | 2 — CLAUDE.md / project instructions | Behavioral pattern changes | Auto-apply if confidence >= 0.85 | | 3 — SOUL.md | Core values, identity, constraints | Operator approval always required | ## The evaluator gate Before any Tier 1+ change is applied, a separate evaluator invocation checks: - Does this contradict existing principles or memory? - Is the pattern truly recurring or is it a sampling artifact? - What is the smallest change that addresses the root cause? - Could this change cause a regression elsewhere? The evaluator is instructed to be skeptical. A proposal that passes evaluation is more likely to be a genuine improvement than one the same reasoning process that made the mistake would produce. ## Rollback Every applied change is preceded by a warden snapshot (if openclaw-warden is installed) and recorded in `.reflect/applied.jsonl`. To revert the last change: ``` node .reflect/scripts/rollback.js ``` To revert a specific change by ID: ``` node .reflect/scripts/rollback.js --id <change-id> ``` ## State files | File | Purpose | |------|---------| | `.reflect/outcomes.jsonl` | Append-only outcome event log | | `.reflect/patterns.json` | Current detected patterns (rebuilt each session) | | `.reflect/proposals.json` | Pending proposals (pre-evaluation) | | `.reflect/pending.json` | Proposals awaiting operator approval | | `.reflect/applied.jsonl` | Append-only log of applied changes | | `.reflect/snapshots/` | Pre-change snapshots for rollback | ## Voluntary contribution openclaw-reflect is free. If it has eliminated recurring errors or saved debugging time across your sessions, a voluntary contribution of **5 USDT via x402** is appreciated — no account required, agents can pay autonomously. See [AGENT-PAYMENTS.md](AGENT-PAYMENTS.md) for details. ## Operator commands ```bash # Show current status node .reflect/scripts/status.js # Review pending proposals node .reflect/scripts/status.js --pending # Approve a specific proposal node .reflect/scripts/apply.js --id <proposal-id> --approve # Reject a proposal node .reflect/scripts/apply.js --id <proposal-id> --reject # Roll back last change node .reflect/scripts/rollback.js # Show improvement history node .reflect/scripts/status.js --history ```
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