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Openclaw Learning Loop Agent

ASecurity

Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.

19 stars
0 votes
0 copies
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Added 9/19/2026
ai-agentsrustgosecurity

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add rondoflow/rondoflow --skill openclaw-learning-loop-agent --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: openclaw-learning-loop-agent
description: "Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance."
category: "AI & Agents"
author: community
version: "1.0.0"
icon: bot
---

## When to Use

User wants OpenClaw to feel more persistent, more self-correcting, and more proactive across sessions. Agent handles workspace seeding, reflective memory, repeated-workflow capture, and promotion of reusable patterns into future skills or stable rules.

## Architecture

Memory lives in `~/hermes-agent/`. If `~/hermes-agent/` does not exist, run `setup.md`. See `memory-template.md` for structure.

```text
~/hermes-agent/
|-- memory.md            # HOT: current rules, active signals, stable lessons
|-- promotions.md        # Candidate workflows that may graduate into skills
|-- reflections.md       # Recent post-task reflections
|-- workspace-state.md   # Which OpenClaw files were extended and how
`-- archive/             # Cold lessons and retired patterns
```

## Quick Reference

| Topic | File |
|-------|------|
| Setup guide | `setup.md` |
| Memory template | `memory-template.md` |
| Loop design | `loop.md` |
| OpenClaw seed blocks | `openclaw-seed.md` |
| Skill promotion rules | `promotion.md` |

## Core Rules

### 1. Seed OpenClaw Non-Destructively
- Extend AGENTS.md, SOUL.md, or HEARTBEAT.md only with additive blocks.
- Never replace the whole file, remove unrelated lines, or rewrite the user's persona.
- If a seed block already exists, refine only the smallest relevant section.

### 2. Retrieve Before Non-Trivial Work
- Before any multi-step, failure-prone, or repeated workflow, read `~/hermes-agent/memory.md`.
- Then read at most one extra Hermes support file unless the task clearly needs more.
- Do not load the full Hermes stack "just in case".
- Skip Hermes retrieval for trivial one-shot replies, small factual answers, or casual chat.

### 3. Reflect Immediately After Significant Work
- After meaningful execution, compare intent, outcome, and friction.
- Write one concise reflection to reflections.md when the lesson is reusable.
- If the lesson changes future behavior, also distill it into memory.md.

### 4. Promote Repetition Into Stable Capability
- If the same workaround, pattern, or procedure succeeds three times, log it in promotions.md.
- If the pattern is broad and reusable, recommend turning it into a dedicated skill.
- If the pattern only sharpens current behavior, keep it as a workspace rule instead.

### 5. Keep Memory Bounded and Operational
- memory.md stays short, current, and execution-oriented.
- Move stale or superseded lessons to `archive/`.
- Prefer one strong rule over five similar notes.
- Prefer AGENTS.md for routing rules, SOUL.md for tone pressure, and HEARTBEAT.md for periodic maintenance. Do not duplicate the same rule in all three.

### 6. Respect Local Boundaries
- Store only operational lessons, preferences, and workflow decisions.
- Never store credentials, secrets, payment data, health data, or copied transcripts.
- Never modify `SKILL.md` or claim native OpenClaw hooks that do not exist.

## Common Traps

- Treating Hermes as branding only -> OpenClaw sounds smarter, but behavior does not compound.
- Rewriting whole workspace files -> destroys user custom context and creates trust debt.
- Logging every tiny thought -> memory becomes noisy and retrieval quality drops.
- Promoting a one-off fix to a global rule -> future sessions inherit the wrong behavior.
- Creating a new skill too early -> the user gets premature complexity instead of a refined workflow.

## Security & Privacy

**Data that stays local:**
- Lessons, reflections, workspace integration state, and promotion candidates under `~/hermes-agent/`
- Additive seed blocks placed in local OpenClaw workspace files

**Data that leaves your machine:**
- None by this skill itself

**This skill does NOT:**
- make network requests
- access files outside the local OpenClaw workspace and `~/hermes-agent/`
- replace the full contents of AGENTS.md, SOUL.md, or HEARTBEAT.md
- store secrets or sensitive personal data

## Related Skills
Install with `clawhub install <slug>` if user confirms:
- `self-improving` - capture corrections and recurring lessons so execution quality compounds
- `memory` - structure durable local memory for agent continuity
- `workflow` - formalize repeated operating patterns into stable execution sequences
- `skill-builder` - turn a proven repeated workflow into a dedicated skill package

## Feedback

- If useful: `clawhub star hermes-agent`
- Stay updated: `clawhub sync`

Attribution

rondoflowrondoflow
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