How should ops-planning 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

ops-planning answer-first brief

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 Published capability contract available. No trust telemetry is available yet. 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

ops-planning 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 100/100

ops-planning

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 24, 2026

Verifiededitorial-contentNo verified compatibility signals

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 24, 2026

Vendor

Chrishartline

Artifacts

Benchmarks

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Unpublished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. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/ChrisHartline/agentfactory.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

Chrishartline

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 24, 2026Source link Provenance

Auth modes

api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 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: 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 simple, single-step requests. version: 0.1.0 last_updated: 2026-02-06 update_source: manual domain: ops-planning depends_on: []

Ops Planning — OPORD-Based Agent Tasking

A. Purpose & Trigger Conditions

Use when:

Task has 3+ distinct subtasks or deliverables
Requirements are ambiguous and need decomposition before execution
Multiple tools, files, or domains are involved
Failure cost is high (e.g., generating a document the user will send externally)

Don't use for:

Simple Q&A or factual lookups
Single-file edits with clear instructions
Conversational exchanges

B. Prerequisites

No other units required
This unit is a planning wrapper — it operates before domain-specific units activate

C. Procedures

C.1 Receive and Frame (OPORD Paragraph 1: Situation)

Before acting, extract or infer the following from the user's request:

Context: What do we already know? Prior conversation, uploaded files, stated constraints.
Environment: What tools are available? What are the platform limitations?
Assumptions: What are we assuming that hasn't been explicitly stated? Flag these.

If critical context is missing, ask — but limit to one focused clarifying question.

C.2 Define the Mission (OPORD Paragraph 2: Mission)

State the task as a single sentence with:

WHO: Which agent/tool is responsible
WHAT: The specific deliverable(s)
WHEN: Any time/sequence constraints
WHY: The user's underlying intent (not just the literal request)

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)."

C.3 Plan Execution (OPORD Paragraph 3: Execution)

Break the mission into phases. For each phase:

Action: What specifically happens
Tool/Unit: What skill or tool is used
Input: What this phase consumes
Output: What this phase produces (becomes input to next phase)
Decision point: Under what conditions do we proceed vs. pause for feedback

Keep to 3-5 phases. If you need more, you're probably bundling multiple missions.

C.4 Identify Resources (OPORD Paragraph 4: Sustainment)

Inventory what's needed:

Files to read or create
Skills/units to load
External tools or APIs
Information gaps that require web search or user input

C.5 Define Coordination (OPORD Paragraph 5: Command & Signal)

Specify:

How progress will be communicated to the user (interim updates vs. final delivery)
What triggers escalation (e.g., "if the data has >20% missing values, ask before imputing")
How the final output will be delivered

C.6 Execute and Adapt

Execute the plan. After each phase:

Verify the output meets the phase's expected output
If it doesn't, adapt — revise remaining phases, don't restart from scratch
If a blocking issue emerges, surface it to the user with a proposed resolution

D. Resources

None currently bundled. This is a pure-procedural unit.

Future: could include planning templates, phase-checklist scripts.

E. Evaluation Criteria

E.1 Output Quality Indicators

Plan was stated before execution began (not implicit)
Each phase produced a usable input for the next phase
Final deliverable matched user intent, not just literal request
No unnecessary rework or backtracking

Common failure modes:

Jumping to execution without planning (most frequent)
Over-planning simple tasks (applying this unit when it wasn't needed)
Plan too rigid — didn't adapt when intermediate output was unexpected

E.2 Efficiency Indicators

Planning overhead should be <15% of total tool calls
If planning takes more than 2 tool calls, the plan is too complex

E.3 Self-Assessment Prompt

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?

F. Revision History

| Version | Date | Source | Change Summary | |---------|------------|--------|----------------| | 0.1.0 | 2026-02-06 | manual | Initial draft |

Contract & API

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

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

api_key

Streaming

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/chrishartline-agentfactory/snapshot"

curl -s "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract"

curl -s "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/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

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": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/ChrisHartline/agentfactory#input",
  "outputSchemaRef": "https://github.com/ChrisHartline/agentfactory#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:43:48.538Z",
  "sourceUpdatedAt": "2026-02-24T19:43:48.538Z",
  "freshnessSeconds": 4428373
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/chrishartline-agentfactory/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/chrishartline-agentfactory/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:50:02.131Z"
    }
  },
  "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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:48.538Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:48.538Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/ChrisHartline/agentfactory#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:48.538Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Chrishartline",
    "href": "https://github.com/ChrisHartline/agentfactory",
    "sourceUrl": "https://github.com/ChrisHartline/agentfactory",
    "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/chrishartline-agentfactory/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/chrishartline-agentfactory/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
  }
]