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AI Company Framework

Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pip... Skill: AI Company Framework Owner: johnsmithfan Summary: Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pip... Tags: latest:3.0.2 Version history: v3.0.2 | 2026-04-26T07:19:24.921Z | user v3.0.2: Added Integration & Merge History section documenting department consolidation (47->15 skills) v3.0.1 | 2026-04-26T01

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

3.4k

Updated

Oct 9, 2026

Version

3.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 3.4K downloads reported by the source. Last updated 10/9/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 9, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 9, 2026
Adoption signal
3.4K downloadsadoption · observed Oct 9, 2026
Latest release
3.0.2release · observed Apr 26, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ar8yxm9wh64zhr7mr0xemcn84gs16:ai-company-framework
  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.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-johnsmithfan-ai-company-framework/snapshot"

Documentation

CLAWHUB

60,900 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "AI Company Framework"
slug: "ai-company-framework"
version: "3.0.0"
homepage: "https://clawhub.com/skills/ai-company-framework"
description: |
  Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.
license: MIT-0
install:
  requires: []
  verify_command: python -c "print('ok')"
dependencies:
  runtime:
    - python3.9+
  skills: ["ai-company-hq","ai-company-harness"]
tags: [ai-company,framework,schema,standardization,modularization,generalization,registry,pipeline,starter]
triggers:
  - schema compliance
  - skill standardization
  - modularization
  - generalization
  - ecosystem registry
  - skill learning
  - skill scaffolding
  - naming conventions
interface:
  inputs:
    type: object
    schema:
      type: object
      properties:
        task:
          type: string
          description: Task description
        context:
          type: object
          description: Optional context information
      required: [task]
  outputs:
    type: object
    schema:
      type: object
      properties:
        result:
          type: string
          description: Operation result
        report:
          type: object
          description: Detailed report data
      required: [result]
  errors:
    - code: FW_001
      message: "Schema validation failed"
    - code: FW_002
      message: "Modularization violation"
    - code: FW_003
      message: "Registry lookup failed"
    - code: FW_004
      message: "Learning pipeline error"
    - code: FW_005
      message: "Scaffolding generation failed"
permissions:
  files: [read, write]
  network: [api]
  commands: []
  mcp: [sessions_send, subagents]
quality:
  saST: Pass
  vetter: Approved
  idempotent: true
metadata:
  category: infrastructure
  layer: AGENT
  cluster: ai-company
  maturity: STABLE
  license: MIT-0
  standardized: true
  department: framework-and-infrastructure
  merged_from: [ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]
---

# AI Company Framework v3.0.0

> Index & Quick Reference. Full specifications in [references/method-patterns.md](references/method-patterns.md).

## Quick Reference

### Role
AI Company Framework — Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.

### Department
Framework & Infrastructure

### Merged From
[ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]

## Section Index

- [1. Trigger Scenarios](references/method-patterns.md#1-trigger-scenarios)

_meta.json

{
  "ownerId": "kn7c9ynzajdkfj65cxt4wb6ysx82d4zh",
  "slug": "ai-company-framework",
  "version": "3.0.2",
  "publishedAt": 1777187964921
}

references/method-patterns.md

# Method Patterns & Detailed Specifications

> Full specifications for AI Company Framework. Merged: Standardization + Modularization + Generalization + Ecosystem + Registry + SkillLearner + Starter.

---

# AI Company Framework Skill v3.0

> Framework & Infrastructure for All-AI-Employee Technology Companies.
> Standards, modularity, generalization, ecosystem, registry, skill learning, starter templates.

---

## 1. Trigger Scenarios

| Category | Trigger Keywords |
|----------|-----------------|
| Standards | "Standard", "Convention", "Naming", "Schema" |
| Modular | "Module", "Component", "Decompose", "Interface" |
| General | "Generalize", "Reuse", "Template", "Pattern" |
| Ecosystem | "Ecosystem", "Integration", "Compatibility", "Interoperability" |
| Registry | "Register", "Agent registry", "Skill registry", "Discovery" |
| Learning | "Skill learning", "Learn skill", "Skill acquisition" |
| Starter | "Starter template", "New project", "Bootstrap", "Quick start" |

---

## 2. Core Identity

- **Position**: AI Company Framework | **Permission Level**: L5 | **ID**: FW-000 | **Reports to**: CTO-001

---

## 3. Core Responsibilities

### 3.1 Standardization

```
Naming Conventions:
  Skills: ai-company-{function} (lowercase, hyphenated)
  Agents: {PREFIX}-{NNN} (uppercase prefix, numeric ID)
  Departments: {function} (lowercase, hyphenated)
  Versions: semver (MAJOR.MINOR.PATCH)
  Files: kebab-case.md, kebab-case.py

Schema Standards (ClawHub v1.0):
  Required Frontmatter:
    name, slug, version, description, license, tags,
    triggers (keywords, patterns),
    interface (inputs, outputs, errors),
    permissions (levels, constraints),
    quality (idempotent, robustness),
    metadata (author, created, updated, department)

  Optional Frontmatter:
    dependencies, conflicts, examples, documentation, changelog

Code Style:
  - English-only for all compiled content
  - Chinese allowed only in trigger keywords for market matching
  - Markdown for documentation (GFM extended)
  - JSON for schemas and configurations
  - YAML for frontmatter only
```

### 3.2 Modularization

```
Modularity Principles:
  - Single Responsibility: Each skill does one thing well
  - Interface Segregation: Minimal interface per consumer
  - Dependency Inversion: Depend on abstractions, not implementations
  - Maximum Dependencies: 5 per skill
  - No Circular Dependencies: DAG dependency graph only

Module Structure:
  Each skill is a self-contained module:
    SKILL.md          - Index and quick reference
    references/       - Detailed specifications
    prompts/          - User-facing prompts
    (No code execution within skill files)

Integration Patterns:
  | Pattern | Description | Use Case |
  |---------|-------------|----------|
  | Request-Response | Synchronous query | Single skill invocation |
  | Event-Driven | Async notification | Cross-skill triggers |
  | Pipeline | Se

prompts/01-implement-method.md

# Implementation Method Prompt

> Copy and paste this prompt into any AI chat window to implement the AI Company Framework skill.

---

## Prompt

```
You are implementing the AI Company Framework skill for an AI Company system.

Department: Framework & Infrastructure
Skill: AI Company Framework

Your task:
1. Read the SKILL.md index to understand the skill scope
2. Read references/method-patterns.md for detailed specifications
3. Implement the core methods described in the method patterns
4. Ensure all output follows the specified format
5. Verify compliance with Harness Engineering L1-L6

Key Requirements:
- All content must be in English
- Follow ClawHub Schema v1.0 for frontmatter
- Implement all error codes defined in interface.errors
- Respect all constraints listed in the skill
- Generate idempotent operations where specified

Output:
- Working implementation of all core methods
- Error handling for all defined error codes
- Integration points with dependency skills
- Test cases for verification
```

---

*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*

prompts/02-robustness-checks.md

# Robustness Checks Prompt

> Copy and paste this prompt into any AI chat window to verify the AI Company Framework skill robustness.

---

## Prompt

```
You are performing robustness checks on the AI Company Framework skill.

Department: Framework & Infrastructure
Skill: AI Company Framework

Check the following:

1. BOUNDARY CONDITIONS
   - What happens with empty input?
   - What happens with maximum-size input?
   - What happens with invalid input types?
   - What happens with concurrent access?

2. ERROR HANDLING
   - Are all error codes properly handled?
   - Are error messages user-friendly?
   - Is error recovery possible?
   - Are errors logged for audit?

3. CONSTRAINT COMPLIANCE
   - Are all skill constraints enforced?
   - Are permission boundaries respected?
   - Are SLA targets achievable?
   - Are resource limits respected?

4. INTEGRATION
   - Are dependency skills properly called?
   - Are cross-agent interfaces correct?
   - Is HQ routing followed?
   - Are audit trails complete?

5. SECURITY
   - No credentials or PII exposed?
   - No injection vulnerabilities?
   - Proper access control enforced?
   - CISO security gate requirements met?

Output:
- List of all issues found (categorized by severity)
- Recommended fixes for each issue
- Verification steps for each fix
```

---

*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 9, 2026.

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