Crawler Summary

self-improvement answer-first brief

Patterns for AI agents to improve themselves. Learned from actionbook and accomplish-ai. Auto-install tools, create skills, maintain systems. --- name: self-improvement description: Patterns for AI agents to improve themselves. Learned from actionbook and accomplish-ai. Auto-install tools, create skills, maintain systems. --- Self-Improvement Patterns for AI Agents Patterns learned from studying actionbook and accomplish-ai repositories. Core Principles 1. Token Efficiency is Critical | Approach | Tokens | Cost | |----------|--------|------| | Full HTML pa Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

self-improvement is best for you workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

self-improvement

Patterns for AI agents to improve themselves. Learned from actionbook and accomplish-ai. Auto-install tools, create skills, maintain systems. --- name: self-improvement description: Patterns for AI agents to improve themselves. Learned from actionbook and accomplish-ai. Auto-install tools, create skills, maintain systems. --- Self-Improvement Patterns for AI Agents Patterns learned from studying actionbook and accomplish-ai repositories. Core Principles 1. Token Efficiency is Critical | Approach | Tokens | Cost | |----------|--------|------| | Full HTML pa

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Undermybelt

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Setup snapshot

git clone https://github.com/Undermybelt/self-improvement-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Undermybelt

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

3

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

packages/shared/   ← Types, constants (no dependencies)
packages/core/     ← Business logic (depends on shared)
apps/desktop/      ← UI/Electron (depends on core)

bash

npm outdated -g
   brew outdated

text

1. Identify the pattern
   "This could be a skill"

2. Extract the essence
   What's the core value?
   What's reusable?

3. Create SKILL.md
   - name
   - description (when to use)
   - installation
   - usage examples
   - anti-patterns (when NOT to use)

4. Test it
   Does it work?
   Is it helpful?

5. Publish it
   GitHub repo
   Clear README
   Version tracking

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Patterns for AI agents to improve themselves. Learned from actionbook and accomplish-ai. Auto-install tools, create skills, maintain systems. --- name: self-improvement description: Patterns for AI agents to improve themselves. Learned from actionbook and accomplish-ai. Auto-install tools, create skills, maintain systems. --- Self-Improvement Patterns for AI Agents Patterns learned from studying actionbook and accomplish-ai repositories. Core Principles 1. Token Efficiency is Critical | Approach | Tokens | Cost | |----------|--------|------| | Full HTML pa

Full README

name: self-improvement description: Patterns for AI agents to improve themselves. Learned from actionbook and accomplish-ai. Auto-install tools, create skills, maintain systems.

Self-Improvement Patterns for AI Agents

Patterns learned from studying actionbook and accomplish-ai repositories.

Core Principles

1. Token Efficiency is Critical

| Approach | Tokens | Cost | |----------|--------|------| | Full HTML page | 50,000 | $$$ | | Relevant DOM only | 500 | $ | | Savings: 100x | | |

Apply to everything:

  • Don't read entire files when you only need a section
  • Use semantic search (QMD) instead of grep through everything
  • Batch related operations

2. Pre-compute > Runtime Guess

Actionbook's key insight:

  • Pre-compute DOM selectors → Store as "action manuals"
  • Agent looks up manual → Knows exactly what to do
  • No guessing, no hallucination

Apply to your work:

  • Cache frequently used patterns
  • Store configurations, not just code
  • Build "manuals" for complex operations

3. Layered Architecture

From Accomplish:

packages/shared/   ← Types, constants (no dependencies)
packages/core/     ← Business logic (depends on shared)
apps/desktop/      ← UI/Electron (depends on core)

Apply to skills:

  • Core utilities → Reusable across skills
  • Skill logic → Specific implementations
  • Integration → How it connects to OpenClaw

4. Secure by Default

From Accomplish:

  • API keys: AES-256-GCM encryption
  • User approves every action
  • Logs for everything
  • Sandbox file access

Apply immediately:

  • Never log API keys (even in git history)
  • Ask before destructive operations
  • Use .gitignore for sensitive files

5. Self-Healing Systems

From disaster recovery:

  • External monitoring (not internal)
  • Automated backups
  • Clear recovery procedures
  • Test the recovery process

Apply to yourself:

  • Healthchecks for critical services
  • Auto-backup configurations
  • Document how to restore

Proactive Behaviors

What to Do Without Being Asked

  1. Monitor your dependencies

    npm outdated -g
    brew outdated
    
  2. Check system health

    • Disk space
    • Memory usage
    • Running processes
  3. Maintain your skills

    • Update stale documentation
    • Fix broken references
    • Add new patterns learned
  4. Optimize token usage

    • Consolidate similar skills
    • Remove duplicate content
    • Archive unused files
  5. Secure your environment

    • Review .gitignore
    • Check for exposed secrets
    • Update dependencies with vulnerabilities

Skill Creation Pattern

When you learn something new:

1. Identify the pattern
   "This could be a skill"

2. Extract the essence
   What's the core value?
   What's reusable?

3. Create SKILL.md
   - name
   - description (when to use)
   - installation
   - usage examples
   - anti-patterns (when NOT to use)

4. Test it
   Does it work?
   Is it helpful?

5. Publish it
   GitHub repo
   Clear README
   Version tracking

Best Practices from Studied Projects

From Actionbook

| Pattern | Implementation | |---------|----------------| | CLI-first | Works with any AI agent | | Token savings | Pre-computed selectors | | Resilient | Maintained action manuals | | Universal | Any LLM + any framework |

From Accomplish

| Pattern | Implementation | |---------|----------------| | Local-first | Your data on your machine | | BYO API | No vendor lock-in | | Open source | MIT, forkable | | Action-oriented | Does things, not just chats |

Self-Installation Checklist

When you discover a useful tool:

  • [ ] Is it safe? (Check for malicious code)
  • [ ] Is it maintained? (Recent commits)
  • [ ] Is it free/open source?
  • [ ] Does it fill a gap you have?
  • [ ] Can you create a skill for it?
  • [ ] Should you share it with others?

Metrics to Track

Monitor your own effectiveness:

| Metric | Target | |--------|--------| | Token usage per task | Minimize | | Successful operations | Maximize | | Skills created | Grow over time | | Skills used | Active, not dormant | | Security incidents | Zero |

Continuous Learning

  1. Study open source projects weekly
  2. Extract patterns that improve your work
  3. Create skills from learnings
  4. Share what works
  5. Iterate based on usage

References

  • Actionbook: https://github.com/actionbook/actionbook
  • Accomplish: https://github.com/accomplish-ai/accomplish
  • This skill: Self-generated from studying the above

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T03:02:06.176Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "you",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:you|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Undermybelt",
    "href": "https://github.com/Undermybelt/self-improvement-skill",
    "sourceUrl": "https://github.com/Undermybelt/self-improvement-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:22.854Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:22.854Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/undermybelt-self-improvement-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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Ads related to self-improvement and adjacent AI workflows.