Crawler Summary
Use this unit when the agent receives a complex, multi-step task that benefits from structured planning before execution. Triggers include: tasks with multiple deliverables, ambiguous requirements needing decomposition, tasks requiring coordination across tools or domains, or any request where jumping straight to execution would likely require significant rework. Do NOT use for simple, single-step requests. --- name: ops-planning description: > Use this unit when the agent receives a complex, multi-step task that benefits from structured planning before execution. Triggers include: tasks with multiple deliverables, ambiguous requirements needing decomposition, tasks requiring coordination across tools or domains, or any request where jumping straight to execution would likely require significant rework. Do NOT use for s Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Freshness
Last checked 4/14/2026
Best For
ops-planning 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
Use this unit when the agent receives a complex, multi-step task that benefits from structured planning before execution. Triggers include: tasks with multiple deliverables, ambiguous requirements needing decomposition, tasks requiring coordination across tools or domains, or any request where jumping straight to execution would likely require significant rework. Do NOT use for simple, single-step requests. --- name: ops-planning description: > Use this unit when the agent receives a complex, multi-step task that benefits from structured planning before execution. Triggers include: tasks with multiple deliverables, ambiguous requirements needing decomposition, tasks requiring coordination across tools or domains, or any request where jumping straight to execution would likely require significant rework. Do NOT use for s
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Christopherhartline
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Setup snapshot
git clone https://github.com/ChristopherHartline/agent_factory.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Christopherhartline
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
typescript
Parameters
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Use this unit when the agent receives a complex, multi-step task that benefits from structured planning before execution. Triggers include: tasks with multiple deliverables, ambiguous requirements needing decomposition, tasks requiring coordination across tools or domains, or any request where jumping straight to execution would likely require significant rework. Do NOT use for simple, single-step requests. --- name: ops-planning description: > Use this unit when the agent receives a complex, multi-step task that benefits from structured planning before execution. Triggers include: tasks with multiple deliverables, ambiguous requirements needing decomposition, tasks requiring coordination across tools or domains, or any request where jumping straight to execution would likely require significant rework. Do NOT use for s
Use when:
Don't use for:
Before acting, extract or infer the following from the user's request:
If critical context is missing, ask — but limit to one focused clarifying question.
State the task as a single sentence with:
Example: "Create a formatted .docx report (WHAT) using the docx skill (WHO) that synthesizes the uploaded CSV data into executive-readable findings (WHY), completing the analysis before formatting (WHEN)."
Break the mission into phases. For each phase:
Keep to 3-5 phases. If you need more, you're probably bundling multiple missions.
Inventory what's needed:
Specify:
Execute the plan. After each phase:
None currently bundled. This is a pure-procedural unit.
Future: could include planning templates, phase-checklist scripts.
Common failure modes:
After completing this task, assess:
- Did I state a plan before executing? Was it visible to the user?
- Did any phase produce unexpected output that required replanning?
- Was the planning overhead proportional to task complexity?
- Would a different phase breakdown have been more efficient?
- What would I add to Section C to handle this task better next time?
| Version | Date | Source | Change Summary | |---------|------------|--------|----------------| | 0.1.0 | 2026-02-06 | manual | Initial draft |
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/snapshot"
curl -s "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/contract"
curl -s "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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/christopherhartline-agent-factory/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:40:07.731Z"
}
},
"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": "Christopherhartline",
"href": "https://github.com/ChristopherHartline/agent_factory",
"sourceUrl": "https://github.com/ChristopherHartline/agent_factory",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-14T22:26:43.928Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-14T22:26:43.928Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/christopherhartline-agent-factory/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
}
]Sponsored
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