Self Improvement AiSAFE
๐ง Curated collection of 1209+ best OpenClaw skills โ weekly updated by MyClaw.ai
Overview
๐ง Curated collection of 1209+ best OpenClaw skills โ weekly updated by MyClaw.ai
4f3b4a2a472eOBSERVED ยท 2026-10-08Install
Commands as the repository documents them. They are shown, not run.
git clone https://github.com/peterskoett/self-improving-agent.git ~/.openclaw/skills/self-improving-agent
Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned | |
| codex | mentioned | |
| copilot | mentioned | |
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit โ this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: self-improvement
description: "Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks."
metadata:
---
# Self-Improvement Skill
Log learnings and errors to markdown files for continuous improvement. Coding agents can later process these into fixes, and important learnings get promoted to project memory.
## Quick Reference
| Situation | Action |
|-----------|--------|
| Command/operation fails | Log to `.learnings/ERRORS.md` |
| User corrects you | Log to `.learnings/LEARNINGS.md` with category `correction` |
| User wants missing feature | Log to `.learnings/FEATURE_REQUESTS.md` |
| API/external tool fails | Log to `.learnings/ERRORS.md` with integration details |
| Knowledge was outdated | Log to `.learnings/LEARNINGS.md` with category `knowledge_gap` |
| Found better approach | Log to `.learnings/LEARNINGS.md` with category `best_practice` |
| Simplify/Harden recurring patterns | Log/update `.learnings/LEARNINGS.md` with `Source: simplify-and-harden` and a stable `Pattern-Key` |
| Similar to existing entry | Link with `**See Also**`, consider priority bump |
| Broadly applicable learning | Promote to `CLAUDE.md`, `AGENTS.md`, and/or `.github/copilot-instructions.md` |
| Workflow improvements | Promote to `AGENTS.md` (OpenClaw workspace) |
| Tool gotchas | Promote to `TOOLS.md` (OpenClaw workspace) |
| Behavioral patterns | Promote to `SOUL.md` (OpenClaw workspace) |
## OpenClaw Setup (Recommended)
OpenClaw is the primary platform for this skill. It uses workspace-based prompt injection with automatic skill loading.
### Installation
**Via ClawdHub (recommended):**
```bash
clawdhub install self-improving-agent
```
**Manual:**
```bash
git clone https://github.com/peterskoett/self-improving-agent.git ~/.openclaw/skills/self-improving-agent
```
Remade for openclaw from original repo : https://github.com/pskoett/pskoett-ai-skills - https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/self-improvement
### Workspace Structure
OpenClaw injects these files into every session:
```
~/.openclaw/workspace/
โโโ AGENTS.md # Multi-agent workflows, delegation patterns
โโโ SOUL.md # Behavioral guidelines, personality, principles
โโโ TOOLS.md # Tool capabilities, integration gotchas
โโโ MEMORY.md # Long-term memory (main session only)
โโโ memory/ # Daily memory files
โ โโโ YYYY-MM-DD.md
โโโ .learnings/ # This skill's log files
โโโ LEARNINGS.md
โโโ ERRORS.md
โโโ FEATURE_REQUESTS.md
```
### Create Learning Files
```bash
mkdir -p ~/.openclaw/workspace/.learnings
```
Then create the log files (or copy from `assets/`):
- `LEARNINGS.md` โ corrections, knowledge gaps, best practices
- `ERRORS.md` โ command failures, exceptions
- `FEATURE_REQUESTS.md` โ user-requested capabilities
### Promotion Targets
When learnings prove broadly applicable, promote them to workspace files:
| Learning Type | Promote To | Example |
|---------------|------------|---------|
| Behavioral patterns | `SOUL.md` | "Be concise, avoid disclaimers" |
| Workflow improvements | `AGENTS.md` | "Spawn sub-agents for long tasks" |
| Tool gotchas | `TOOLS.md` | "Git push needs auth configured first" |
### Inter-Session Communication
OpenClaw provides tools to share learnings across sessions:
- **sessions_list** โ View active/recent sessions
- **sessions_history** โ Read another session's transcript
- **sessions_send** โ Send a learning to another session
- **sessions_spawn** โ Spawn a sub-agent for background work
### Optional: Enable Hook
For automatic reminders at session start:
```bash
# Copy hook to OpenClaw hooks directory
cp -r hooks/openclaw ~/.openclaw/hooks/self-improvement
# Enable it
openclaw hooks enable self-improvement
```
See `references/openclaw-integration.md` for complete details.
---
## Generic Setup (Other Agents)
For Claude Code, Codex, Copilot, or other agents, create `.learnings/` in your project:
```bash
mkdir -p .learnings
```
Copy templates from `assets/` or create files with headers.
### Add reference to agent files AGENTS.md, CLAUDE.md, or .github/copilot-instructions.md to remind yourself to log learnings. (this is an alternative to hook-based reminders)
#### Self-Improvement Workflow
When errors or corrections occur:
1. Log to `.learnings/ERRORS.md`, `LEARNINGS.md`, or `FEATURE_REQUESTS.md`
2. Review and promote broadly applicable learnings to:
- `CLAUDE.md` - project facts and conventions
- `AGENTS.md` - workflows and automation
- `.github/copilot-instructions.md` - Copilot context
## Logging Format
### Learning Entry
Append to `.learnings/LEARNINGS.md`:
```markdown
## [LRN-YYYYMMDD-XXX] category
**Logged**: ISO-8601 timestamp
**Priority**: low | medium | high | critical
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config
### Summary
One-line description of what was learned
### Details
Full context: what happened, what was wrong, what's correct
### Suggested Action
Specific fix or improvement to make
### Metadata
- Source: conversation | error | user_feedback
- Related Files: path/to/file.ext
- Tags: tag1, tag2
- See Also: LRN-20250110-001 (if related to existing entry)
- Pattern-Key: simplify.dead_code | harden.input_validation (optional, for recurring-pattern tracking)
- Recurrence-Count: 1 (optional)
- First-Seen: 2025-01-15 (optional)
- Last-Seen: 2025-01-15 (optional)
---
```
### Error Entry
Append to `.learnings/ERRORS.md`:
```markdown
## [ERR-YYYYMMDD-XXX] skill_or_command_name
**Logged**: ISO-8601 timestamp
**Priority**: high
**Status**: pending
**AreaTrust audit
SAFEgrade B ยท trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | WARN |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
<key>k5Ey9KFlkqpj+SDkUw+5ED9lTA3En/qUi0zdrydUCH3kMWTE3Eh65NXnFCaxlY2omY2JHnlEoK7Li7oOEvM7eG5VPdcO/sFlMfoCRdnLYdepJ+uLzYwOWR8W4yQVve/clxVFTVRL4DFleKInGdpAxIbHZT2yi4ADAMENls1N1XSLojRuqXePXDeAT/4Mv4TTx0s
Gates applied: no_behavioural_pass.
4f3b4a2a472efull audit observations/trust-audit/skill/leoyeai__self-improvement-ai.json ยท Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 4f3b4a2a472e | SAFE | B | 89 | first audit |
Questions
What does the Self Improvement Ai skill do?
๐ง Curated collection of 1209+ best OpenClaw skills โ weekly updated by MyClaw.ai
Is Self Improvement Ai safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Self Improvement Ai access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Self Improvement Ai work with?
Its documentation mentions claude-code, codex, copilot and openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (4f3b4a2a472e), read on 2026-10-08. The repository is watched, and a new audit runs when it changes โ this is the first audit.