Crawler Summary

omg-learn answer-first brief

Learning from user corrections by creating skills and patterns. Patterns can prevent mistakes (block/warn/ask) or inject helpful context into prompts. Use when user says "omg!" during corrections, when user provides feedback to create persistent knowledge, or when user wants to ensure AI never makes the same mistake again. --- name: omg-learn version: 2.0.0 description: Learning from user corrections by creating skills and patterns. Patterns can prevent mistakes (block/warn/ask) or inject helpful context into prompts. Use when user says "omg!" during corrections, when user provides feedback to create persistent knowledge, or when user wants to ensure AI never makes the same mistake again. dependencies: - skill-creator --- OMG! Learning Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/24/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

omg-learn is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 100/100

omg-learn

Learning from user corrections by creating skills and patterns. Patterns can prevent mistakes (block/warn/ask) or inject helpful context into prompts. Use when user says "omg!" during corrections, when user provides feedback to create persistent knowledge, or when user wants to ensure AI never makes the same mistake again. --- name: omg-learn version: 2.0.0 description: Learning from user corrections by creating skills and patterns. Patterns can prevent mistakes (block/warn/ask) or inject helpful context into prompts. Use when user says "omg!" during corrections, when user provides feedback to create persistent knowledge, or when user wants to ensure AI never makes the same mistake again. dependencies: - skill-creator --- OMG! Learning

OpenClawself-declared

Public facts

7

Change events

1

Artifacts

0

Freshness

Feb 24, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

1 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 24, 2026

Vendor

Mattdm

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

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

Setup snapshot

git clone https://github.com/mattdm/omg-learn.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

Mattdm

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Feb 24, 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

6

Snippets

0

Languages

typescript

Parameters

Dependencies

skill-creator

Permissions

No permissions captured.
Executable Examples

json

{
  "id": "remind-[skill-name]-skill",
  "description": "Reminds Claude to use [skill-name] skill",
  "hook": "UserPromptSubmit",
  "pattern": "(keyword1|keyword2|keyword3)",
  "action": "warn",
  "message": "๐Ÿ’ก Consider using the [skill-name] skill. It covers: [summary]",
  "skill_reference": "[skill-name]",
  "enabled": true,
  "note": "Companion pattern for skill"
}

json

{
  "id": "auto-format-python",
  "description": "Auto-format Python files with ruff",
  "hook": "PostToolUse",
  "matcher": "Write|Edit",
  "file_pattern": "\\.py$",
  "action": "run",
  "command": "ruff format {file_path}",
  "command_on_success": true,
  "timeout": 10,
  "show_output": false,
  "enabled": true
}

text

ERROR: [What's wrong]
[Why it matters]

[Suggested alternative]

json

{
  "id": "pattern-id",
  "description": "What this prevents",
  "hook": "PreToolUse",
  "matcher": "Bash",
  "pattern": "regex here",
  "exclude_pattern": "optional exclusion",
  "action": "block",
  "message": "Clear error message",
  "enabled": true
}

text

This pattern will:
โœ“ Block: npm test | head -20
โœ“ Block: git log | head -5
โœ— Allow: head package.json
โœ— Allow: cat file | grep foo

bash

omg-learn test <pattern-id> "test input"

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Learning from user corrections by creating skills and patterns. Patterns can prevent mistakes (block/warn/ask) or inject helpful context into prompts. Use when user says "omg!" during corrections, when user provides feedback to create persistent knowledge, or when user wants to ensure AI never makes the same mistake again. --- name: omg-learn version: 2.0.0 description: Learning from user corrections by creating skills and patterns. Patterns can prevent mistakes (block/warn/ask) or inject helpful context into prompts. Use when user says "omg!" during corrections, when user provides feedback to create persistent knowledge, or when user wants to ensure AI never makes the same mistake again. dependencies: - skill-creator --- OMG! Learning

Full README

name: omg-learn version: 2.0.0 description: Learning from user corrections by creating skills and patterns. Patterns can prevent mistakes (block/warn/ask) or inject helpful context into prompts. Use when user says "omg!" during corrections, when user provides feedback to create persistent knowledge, or when user wants to ensure AI never makes the same mistake again. dependencies:

  • skill-creator

OMG! Learning from Corrections

When the user says "omg!" during a correction, create or update a skill AND optionally a preventive pattern.

ALWAYS load the skill-creator skill first.

Quick Reference

  • CLI tool: omg-learn list|show|enable|disable|test|simulate|sync|export|import
  • Pattern files:
    • Claude Code: ~/.claude/omg-learn-patterns.json (global), .claude/omg-learn-patterns.json (local)
    • Cursor: ~/.cursor/omg-learn-patterns.json (global), .cursor/omg-learn-patterns.json (local)
  • Detailed guides: See references/ directory

Workflow

When user says "omg!" during a correction:

0. Check Platform Hooks (First Time Only)

Check if hooks are installed:

  • Claude Code: Check for ~/.claude/hooks/pretool-checker.sh or .claude/hooks/pretool-checker.sh
  • Cursor: Check for ~/.cursor/hooks.json or .cursor/hooks.json

If NOT installed:

  • Explain platform hooks catch mistakes BEFORE they happen
  • Ask: "Would you like to install hooks now?"
  • If yes: Run ./scripts/install-hooks.sh
  • Platform hooks are OPTIONAL but recommended

Platform Hooks vs Skill Hooks:

  • Platform hooks: Work on both Claude Code and Cursor, always active, prevent first mistake
  • Skill hooks: Claude Code ONLY feature - hooks defined within skills themselves. Cursor does not support skill hooks.
  • This skill primarily uses platform hooks for maximum compatibility

1. Analyze the Correction

Ask:

  • What did you do wrong?
  • What is the correct behavior?
  • What knowledge should be preserved?
  • Could this be prevented with a pattern?

Skill creation tip: Include trigger contexts in description. Example: "Use when analyzing database code" or "When deploying to production"

2. Ask About Scope (ALWAYS)

ALWAYS explicitly ask the user about scope - never assume!

Ask: "Should this skill be global (all projects) or local (this project only)?"

Options:

  • Global โ†’ ~/.claude/skills/ (Claude Code) or ~/.cursor/skills/ (Cursor)

    • Use for: General programming knowledge, universal best practices, cross-project patterns
    • Example: "git best practices", "database migration patterns", "security guidelines"
  • Local โ†’ .claude/skills/ (Claude Code) or .cursor/skills/ (Cursor)

    • Use for: Project-specific conventions, architecture decisions, team guidelines
    • Example: "this project's auth flow", "our deployment checklist", "team code style"

Note: Also supports .agents/skills/ or .agent/skills/ directories if present.

Default suggestion: If unsure, suggest local first (less intrusive, easier to test).

3. Search for Existing Skills

Search appropriate location for related skills.

If found โ†’ Propose update If not found โ†’ Propose new skill

4. Propose Changes

  • For updates: Show before/after diff
  • For new skills: Show full YAML with frontmatter
  • Indicate storage location (global vs project-local)

5. Create or Update Skill

After user approval, create/update the skill file.

6. Generate Companion Context Injection Pattern (DEFAULT)

Automatically propose a context injection pattern to remind Claude when to use this skill:

Step 6.1: Extract trigger keywords from skill description

Look for:

  • "Use when...", "When..." clauses in the skill description
  • Technical terms and domain vocabulary (database, git, production, migration, etc.)
  • User-provided trigger contexts

Example:

  • Skill description: "Use when working with database schema changes, migrations, alters"
  • Extracted keywords: database, migration, schema, alter

Step 6.2: Show proposed pattern

Present the pattern structure:

{
  "id": "remind-[skill-name]-skill",
  "description": "Reminds Claude to use [skill-name] skill",
  "hook": "UserPromptSubmit",
  "pattern": "(keyword1|keyword2|keyword3)",
  "action": "warn",
  "message": "๐Ÿ’ก Consider using the [skill-name] skill. It covers: [summary]",
  "skill_reference": "[skill-name]",
  "enabled": true,
  "note": "Companion pattern for skill"
}

Step 6.3: Ask for confirmation

Show: "Extracted keywords: database, migration, schema"

Ask: "Create pattern with these keywords? (or customize/skip)"

Options:

  • Yes โ†’ Continue to Step 6.4
  • Customize โ†’ Let user edit keywords list, then continue to Step 6.4
  • Skip โ†’ Don't create pattern (user can add manually later)

Step 6.4: Ask about pattern scope (ALWAYS)

ALWAYS explicitly ask where to save the pattern - never assume!

Ask: "Should this pattern be global (all projects) or local (this project only)?"

Options:

  • Global โ†’ ~/.claude/omg-learn-patterns.json (Claude Code) or ~/.cursor/omg-learn-patterns.json (Cursor)

    • Use for: Universal patterns that apply everywhere
    • Example: "no piping to head", "git safety checks"
  • Local โ†’ .claude/omg-learn-patterns.json (Claude Code) or .cursor/omg-learn-patterns.json (Cursor)

    • Use for: Project-specific patterns
    • Example: "this project's conventions", "team-specific reminders"

Default suggestion: Match the skill scope (if skill is global, suggest global pattern; if skill is local, suggest local pattern)

Step 6.5: Create and add pattern

Generate the pattern JSON using the template from references/skill-pattern-template.md

Add to appropriate patterns file (global or local) based on user's choice

Link back to skill with skill_reference field

Why this is the magic sauce:

  • Proactive: Claude is reminded BEFORE attempting the task
  • Non-disruptive: Just adds helpful context to Claude's prompt
  • Discoverable: Users learn about skills as they work
  • Educational: Claude sees guidance and learns when to apply skills

Skip pattern creation only if:

  • No hooks installed (warn user about missing capability)
  • Skill has no clear trigger context (pure reference material)
  • User explicitly says "no pattern needed"

Pattern types (for reference - prefer top to bottom):

  1. Context injection patterns (๐ŸŒŸ MAGIC SAUCE): Add guidance to Claude's prompt based on keywords - proactive, non-disruptive (Claude Code: true context, Cursor: warning)
  2. PostToolUse patterns (AUTOMATION): Run commands after tool execution - auto-formatting, linting, testing
  3. Preventive patterns: Block or warn before dangerous operations - reactive, more disruptive
  4. Ask patterns (LAST RESORT): Confirmation dialogs - most disruptive, use sparingly

6a. PostToolUse Patterns for Automation (Optional)

In addition to skill-linked context injection patterns, you can create PostToolUse patterns for automation:

Use PostToolUse for:

  • Auto-formatting files (ruff, prettier, black, etc.)
  • Running linters after save (ruff check, eslint, etc.)
  • Compiling code automatically
  • Running tests on file changes
  • Any automation that should happen AFTER tool execution

PostToolUse pattern structure:

{
  "id": "auto-format-python",
  "description": "Auto-format Python files with ruff",
  "hook": "PostToolUse",
  "matcher": "Write|Edit",
  "file_pattern": "\\.py$",
  "action": "run",
  "command": "ruff format {file_path}",
  "command_on_success": true,
  "timeout": 10,
  "show_output": false,
  "enabled": true
}

New fields for PostToolUse:

  • file_pattern: Regex to match file extensions (e.g., \\.py$)
  • command: Shell command with template variables: {file_path}, {file_name}, {file_dir}, {file_ext}
  • command_on_success: Only run if tool succeeded (default: false)
  • timeout: Command timeout in seconds (default: 30)
  • show_output: Show command output to user (default: false)

See: examples/basic-patterns.md for complete PostToolUse examples

7. Generate and Test Pattern

See: references/pattern-generation-guide.md for full details.

Step 7.1: Analyze the Mistake

Extract key information:

  • What tool was used? (Bash, Write, Edit, or prompt?)
  • What was the problematic input?
  • Why was it wrong?
  • How can we detect it? (Regex or check script?)

Step 7.2: Generate Pattern Components

Hook Type:

  • PreToolUse for tool interception (Bash/Write/Edit)
  • UserPromptSubmit for prompt analysis

Matcher: (PreToolUse only)

  • Bash for shell commands
  • Write for file writes
  • Edit for file edits
  • * for all tools

Pattern Regex: Create regex that matches the error pattern.

Examples:

  • \|.*\bhead\b โ†’ Matches pipe to head
  • git\s+commit โ†’ Matches git commit
  • git\s+push.*(-f|--force) โ†’ Matches force push

Exclude Pattern: (optional) Prevent false positives.

Example: (cat |<|\bhead\s+[^|]) excludes head package.json

Check Script: (optional) For complex logic that can't be regex.

Example: Branch checking, environment validation

Action (hierarchy - best to worst):

  1. Context injection (UserPromptSubmit with warn/ask) - ๐ŸŒŸ MAGIC SAUCE - USE THIS FIRST!

    • Proactive: Guides Claude's decisions BEFORE they happen
    • Non-disruptive: No permission dialogs
    • Claude Code: True context injection into Claude's prompt
    • Cursor: Warning message to user (not AI context, but still useful)
    • When to use: Detect situations from user's prompt keywords
    • Best for: Guidance, education, reminders, conventions
    • Not for: Dangerous operations that need hard stops (use block instead)
  2. block (PreToolUse) - For dangerous operations that need hard stops

    • Reactive: Stops action after Claude decided to do it
    • Use when action will definitely cause damage (commit secrets, delete files, drop database)
    • Recommended for prevention that can't be caught via context injection
    • Critical: Some things MUST be blocked (secrets, destructive operations)
  3. warn (PreToolUse) - For educational messages about operations

    • Allow action but show warning
    • Less disruptive than ask
  4. ask (PreToolUse) - โš ๏ธ LAST RESORT - MOST DISRUPTIVE

    • Cursor: VERY disruptive - AVOID
    • Claude Code: Less disruptive but still prefer context injection
    • Only use when block is too strict AND context injection can't detect it

Key insight: Context injection is proactive (guides before decision), ask is reactive (blocks after bad decision). Proactive wins!

Message: Clear explanation with suggested fix.

Format:

ERROR: [What's wrong]
[Why it matters]

[Suggested alternative]

Step 7.3: Show Generated Pattern

Present the complete pattern:

{
  "id": "pattern-id",
  "description": "What this prevents",
  "hook": "PreToolUse",
  "matcher": "Bash",
  "pattern": "regex here",
  "exclude_pattern": "optional exclusion",
  "action": "block",
  "message": "Clear error message",
  "enabled": true
}

Include explanation:

  • What it matches
  • What it allows (excludes)
  • Test cases showing behavior

Example:

This pattern will:
โœ“ Block: npm test | head -20
โœ“ Block: git log | head -5
โœ— Allow: head package.json
โœ— Allow: cat file | grep foo

Step 7.4: Test Pattern

omg-learn test <pattern-id> "test input"

Verify matches/excludes work correctly.

Step 7.5: Enable Pattern

Ask scope and enable:

omg-learn enable <pattern-id> --global
# or
omg-learn enable <pattern-id> --local

8. Register the Skill

Claude Code: Skills are auto-discovered from ~/.claude/skills/ or .claude/skills/

Cursor: Skills are loaded via rules in ~/.cursor/rules/. Use generate-cursor-rule script to create a rule that points to the SKILL.md.

Done! The skill and pattern (if created) are now active.

Advanced Features

Pattern Management:

omg-learn list              # List all patterns
omg-learn show <id>         # Show pattern details
omg-learn enable <id>       # Enable a pattern
omg-learn disable <id>      # Disable a pattern
omg-learn test <id> "input" # Test pattern
omg-learn simulate "cmd"    # Simulate hook execution

Cross-Project:

omg-learn sync              # Show sync status
omg-learn export <ids> -o file.zip  # Export patterns
omg-learn import file.zip   # Import patterns

See references/cli-reference.md for full documentation.

Platform Support

| Feature | Claude Code | Cursor | Notes | |---------|-------------|--------|-------| | Platform hooks | โœ… | โœ… | Different event names | | Skill hooks | โœ… | โŒ | Claude Code only - not supported in Cursor | | Skill discovery | โœ… Auto | โœ… Via rules | Claude auto-discovers, Cursor uses .mdc rules | | CLI tool | โœ… | โœ… | Both platforms | | Pattern regex | โœ… | โœ… | Same syntax | | Check scripts | โœ… | โœ… | Bash scripts |

Event Names:

  • Claude Code: PreToolUse, UserPromptSubmit
  • Cursor: beforeShellExecution, beforeSubmitPrompt

Skill Hooks vs Platform Hooks:

  • Skill hooks are defined within a skill's YAML frontmatter (Claude Code only)
  • Platform hooks are defined in .claude/hooks/ or .cursor/hooks.json (both platforms)
  • This skill uses platform hooks for cross-platform compatibility

Installation

Claude Code:

cd ~/.claude/skills/omg-learn
./scripts/install-hooks.sh

Cursor:

# Install skill
cd ~/.cursor/skills/omg-learn
./scripts/install-hooks.sh

# Generate and install Cursor rule
./scripts/generate-cursor-rule SKILL.md --install

Supported directories: .claude/, .cursor/, .agents/, .agent/

See README.md for full installation guide.

Common Pattern Examples

See examples/ directory for detailed examples.

Preventive patterns:

  • Block commits to main
  • Warn on force push
  • Prevent piping to head
  • Protect important files
  • Detect secrets before commit

Context injection patterns:

  • Remind Claude about project conventions
  • Add instructions based on keywords
  • Fun surprises (pizza party example!)
  • Educational hints for specific tools

Advanced patterns:

  • Environment-specific checks
  • Multi-condition validation
  • Custom check scripts
  • Team patterns

References

  • references/pattern-generation-guide.md - Complete pattern generation guide
  • references/cli-reference.md - Full CLI documentation
  • references/pattern-structure.md - JSON schema reference
  • references/hook-system.md - Technical hook details
  • examples/basic-patterns.md - Simple pattern examples
  • examples/advanced-patterns.md - Complex patterns
  • examples/workflows.md - Common workflows

Troubleshooting

Hooks not working?

Claude Code:

# Check installation
ls ~/.claude/hooks/pretool-checker.sh
cat ~/.claude/settings.json | grep hooks

# Test manually
echo '{"tool_name":"Bash","tool_input":{"command":"git commit"}}' | ~/.claude/hooks/pretool-checker.sh

Cursor:

# Check installation
ls ~/.cursor/hooks/before-shell.sh
cat ~/.cursor/hooks.json

# Test manually
echo '{"command":"git commit"}' | ~/.cursor/hooks/before-shell.sh

Pattern not matching?

# Test the pattern
omg-learn test <pattern-id> "your input"

# Simulate full execution
omg-learn simulate "your command"

See logs: Uncomment debug logging in hook scripts:

# In pretool-checker.sh line 36:
echo "DEBUG: Tool: $TOOL_NAME, Input: $TOOL_INPUT" >> /tmp/omg-learn-hook.log

License

See LICENSE file in the repository root.

Contract & API

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

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mattdm-omg-learn/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract"
curl -s "https://xpersona.co/api/v1/agents/mattdm-omg-learn/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

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 โ€ข (~400 MCP servers for AI agents) โ€ข AI Automation / AI Agent with MCPs โ€ข AI Workflows & AI Agents โ€ข 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 5d 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 | ๐ŸŒŸ 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": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/mattdm/omg-learn#input",
  "outputSchemaRef": "https://github.com/mattdm/omg-learn#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:47:39.955Z",
  "sourceUpdatedAt": "2026-02-24T19:47:39.955Z",
  "freshnessSeconds": 4428467
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mattdm-omg-learn/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mattdm-omg-learn/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:55:27.149Z"
    }
  },
  "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": "add",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "create",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "we",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "skill",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:add|supported|profile capability:create|supported|profile capability:we|supported|profile capability:skill|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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:47:39.955Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:47:39.955Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/mattdm/omg-learn#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:47:39.955Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Mattdm",
    "href": "https://github.com/mattdm/omg-learn",
    "sourceUrl": "https://github.com/mattdm/omg-learn",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/mattdm/omg-learn",
    "sourceUrl": "https://github.com/mattdm/omg-learn",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mattdm-omg-learn/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท 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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