How should self-learning-skills be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

self-learning-skills answer-first brief

Memory sidecar for agent work: recall before tasks, record learnings after tasks, review recommendations, optional backport bundles. --- name: self-learning-skills description: "Memory sidecar for agent work: recall before tasks, record learnings after tasks, review recommendations, optional backport bundles." --- Self-learning sidecar Use this skill to **recall** prior shortcuts before you start work, and to **record** durable “aha” moments + recommendations after you finish. Critical rule: if no learnings exist (cold start), say so and proceed w Capability contract not published. No trust telemetry is available yet. 41 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

self-learning-skills is best for general automation 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 100/100

self-learning-skills

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals41 GitHub stars

Capability contract not published. No trust telemetry is available yet. 41 GitHub stars reported by the source. Last updated 4/15/2026.

41 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Scottfalconer

Artifacts

Benchmarks

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Unpublished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. 41 GitHub stars reported by the source. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/scottfalconer/self-learning-skills.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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

Scottfalconer

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Adoption (1)

Adoption signal

41 GitHub stars

profilemedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

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

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

name: self-learning-skills description: "Memory sidecar for agent work: recall before tasks, record learnings after tasks, review recommendations, optional backport bundles."

Self-learning sidecar

Use this skill to recall prior shortcuts before you start work, and to record durable “aha” moments + recommendations after you finish.

Critical rule: if no learnings exist (cold start), say so and proceed with standard tools — do not invent memories.

CLI path (important)

This skill ships an optional helper CLI at <SKILL_DIR>/scripts/self_learning.py (where <SKILL_DIR> is the directory that contains this SKILL.md).

Codex default: ${CODEX_HOME:-$HOME/.codex}/skills/self-learning-skills
In the commands below, replace <SKILL_DIR> with your install path.

1) PRE-RUN: Recall (before starting work)

When to use: Before any non-trivial task.

Action:

Locate the project store: <repo-root>/.agent-skills/self-learning/v1/users/<user>/
Read <project_store>/INDEX.md (quick skim).
If you need targeted recall, run:
- python3 <SKILL_DIR>/scripts/self_learning.py list --query "<keywords>"
- Optional filters: --skill <name>, --tag skill:<name>
Summarize 3–7 directly actionable bullets relevant to the current task (titles + IDs only; no long dumps).

2) POST-RUN: Record (after finishing work)

When to use: You discovered something durable (schema, fix, command sequence, constraint, etc.).

Action:

Capture 1–5 Aha Cards (durable, reusable, specific, non-sensitive). Format: references/FORMAT.md.
- Ensure every Aha Card and Recommendation has primary_skill (use unknown if unsure).
- Set scope to project (repo/run-specific) or portable (generally reusable; a backport candidate).
- If you rediscovered the same learning, treat it as reinforcement (signal) rather than duplicating the full card.
Capture 1–5 concrete recommendations (what to change and where).
Persist:
- python3 <SKILL_DIR>/scripts/self_learning.py record --json payload.json (or stdin)
If you used an existing Aha Card or Recommendation, mark it as used:
- python3 <SKILL_DIR>/scripts/self_learning.py use --aha aha_...[,aha_...] [--rec rec_...[,rec_...]]
- Or include used_aha_ids / used_rec_ids (or used: {aha_ids, rec_ids}) in the record payload to auto-append usage signals.

Output requirement: print a short summary + top 3 items, then point to “view more” (INDEX.md / review --format json). Do not dump long JSON by default.

3) REVIEW: Dashboard / Next actions

When to use: “What’s still open?”, “What’s stale?”, “What should we backport?”, “Most useful learnings this week?”

Action:

python3 <SKILL_DIR>/scripts/self_learning.py review --days 7
Full JSON: add --format json
Filters: --skill <name>, --scope project|portable, --status proposed,accepted,in_progress, --query "<keywords>"

4) MAINTENANCE / Governance

Repair store hygiene (append-only): python3 <SKILL_DIR>/scripts/self_learning.py repair --apply
Update recommendation status/scope: python3 <SKILL_DIR>/scripts/self_learning.py rec-status --id rec_... --status done --scope portable --note "..."
Optional backport bundle (explicit + auditable): python3 <SKILL_DIR>/scripts/self_learning.py export-backport --skill-path <skill-dir> --ids <aha_ids> [--make-diff] [--apply]
Inspect backport markers in a skill: python3 <SKILL_DIR>/scripts/self_learning.py backport-inspect --skill-path <skill-dir>

Docs

Setup/background: README.md
Integration templates (no hooks): references/INTEGRATION.md
Rubric/format/portability: references/RUBRIC.md, references/FORMAT.md, references/PORTABILITY.md

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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/scottfalconer-self-learning-skills/snapshot"

curl -s "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/contract"

curl -s "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/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

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

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

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

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

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/scottfalconer-self-learning-skills/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T00:59:48.867Z"
    }
  },
  "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"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|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": "Scottfalconer",
    "href": "https://github.com/scottfalconer/self-learning-skills",
    "sourceUrl": "https://github.com/scottfalconer/self-learning-skills",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:17:29.399Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:17:29.399Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "41 GitHub stars",
    "href": "https://github.com/scottfalconer/self-learning-skills",
    "sourceUrl": "https://github.com/scottfalconer/self-learning-skills",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:17:29.399Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/scottfalconer-self-learning-skills/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
  }
]