policy-execution-checklist-generator

policy-execution-checklist-generator Risk Review Assistant

Quick Start

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Overview

The Risk Review Assistant is used to answer "what risks are here", corporate policies, execution checklists, and internal controls. It is suitable for HR, managers, operations, and software to invoke after clarifying business goals, content materials, or analysis objects. It will combine inputs such as policy clause content, pasted policies, process requirements, approval rules, role responsibilities, and exception handling, organize key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• Users ask questions such as "what risks are here" and need to quickly break down goals, determine priorities, and form executable results
• HR, managers, operations, and software need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Risk Review Assistant
• Users have already prepared policy clause content (pasted policies, process requirements, approval rules, role responsibilities, and exception handling), uploaded policy files (uploaded policy documents, flowcharts, checklists, meeting minutes, or internal control requirements), or policy reference links (publicly accessible policy descriptions, policy documents, process pages, or announcement links) and hope to organize them into executable analysis or optimization results
• Users need to turn Risk Review Assistant-related materials into clear conclusions, priorities, and next steps

How to Invoke

Call the AI Skills API directly through the exported Python runner:

Command Example

Basic Call

python3 scripts/run.py --params '{}'

Call with Common Parameters

python3 scripts/run.py --params '{"policyRuleText":"制度条款内容"}'

Parameter Description

Parameter	Type	Required	Default	Description
policyRuleText	string	No	-	Paste policies, process requirements, approval rules, role responsibilities, and exception handling
policyDocumentFile	string	No	-	Upload policy documents, flowcharts, checklists, meeting minutes, or internal control requirements
policyReferenceLink	string	No	-	Enter publicly accessible policy descriptions, policy documents, process pages, or announcement links; a complete accessible URL is required
responsibleTeamNotes	string	No	-	Supplement responsible persons, approval nodes, evidence retention, exception conditions, and inspection cycles
rolloutScenarioContext	string	No	-	Describe applicable departments, roles, process frequency, system tools, and management goals
checklistGenerationFocus	string	No	步骤拆解	Select the direction that most needs priority handling for this policy execution checklist generation; optional values:步骤拆解、责任分工、证据留存、检查节奏

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

This skill currently has no categorical parameters that require additional lookup.

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters contain link fields, pass a complete, accessible URL.

Example Request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"policyRuleText":"制度条款内容"}'

Equivalent --params JSON：

{
  "policyRuleText": "制度条款内容"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Delivery content

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results that can be directly read, reviewed, or delivered around the user's goals.
• Interpretation of input materials: combine institutional clause content (paste institutional provisions, process requirements, approval rules, job responsibilities, and exception handling.), uploaded institutional documents (upload institutional documents, flowcharts, checklists, meeting minutes, or internal control requirements.), and institutional reference links (enter publicly accessible institutional descriptions, policy documents, process pages, or announcement links.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can continue to be processed.

Suggestions for using the results

• First determine whether the output answers the user's core questions about the "Risk Review Assistant".
• Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are provided.
• If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.

Preparation before running

• AISKILLS_BASE_URL: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default