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workflow-audit工作流程审核

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:workflow-audit(工作流程审核)
来源仓库:https://github.com/adawodu/workflow-audit
安装命令:
openclaw skills install workflow-audit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install workflow-audit

简介

workflow-audit 进行结构化运营审计,识别流程摩擦点并提出自动化优化方案。

  • 适用于业务流程梳理、浪费量化和 ROI 导向的优先级排序场景。
  • 输出包含自动化蓝图的投资回报率分析报告,指导资源投入方向。
  • 安装命令为 openclaw skills install workflow-audit,需输入当前流程描述文本。
  • 建议人工复核建议可行性,避免盲目自动化导致系统复杂度上升。

SKILL.md

name
workflow-audit
description
Conduct a structured operational audit — identify friction points, map workflows, quantify waste, and produce a priority-ranked automation blueprint with ROI projections. Use when a client shares meeting transcripts, process descriptions, or operational pain points.
version
1.0.0
author
dynoclaw
user-invocable
true
metadata
{"openclaw":{"emoji":"🔍"}}

Workflow Audit — The Friction X-Ray

Transform client conversations into a structured automation blueprint with hard ROI numbers. This is the deliverable for a diagnostic engagement.

When to Use

  • Client shares a meeting transcript describing their operations
  • Client describes manual processes, spreadsheet workflows, or tool-switching pain
  • You're conducting a discovery call and need structured output
  • Pre-sales: building the business case for a DynoClaw deployment

Input

The user provides one or more of:

  • Meeting transcript (Fathom, Otter, pasted text)
  • Description of current workflows and pain points
  • List of tools/systems in use
  • Team size and roles involved

If insufficient context, ask targeted discovery questions:

  1. "What's the ugliest spreadsheet your team updates every week?"
  2. "Where is your team copy-pasting data between two screens?"
  3. "What breaks when a key person goes on vacation?"
  4. "If you got 50 new clients tomorrow, which department collapses first?"
  5. "What does your team do on Saturday mornings that should've been done Friday?"

Processing Steps

Step 1 — Map the Current State

For each workflow mentioned, document:

  • Process name (e.g., "Weekly Executive Report", "Invoice Reconciliation")
  • Trigger — what starts this process
  • Steps — numbered sequence of actions
  • People involved — roles, not just names
  • Tools used — every system touched (CRM, spreadsheet, email, ERP, etc.)
  • Frequency — how often this runs
  • Time spent — estimated hours per occurrence
  • Error rate — how often it goes wrong and what the consequences are

Step 2 — Score Each Workflow (Friction Matrix)

Rate each workflow on two dimensions:

Volume (1-10): How often does this run?

  • 1-3: Monthly or less
  • 4-6: Weekly
  • 7-10: Daily or continuous

Cost of Error (1-10): What happens when it breaks?

  • 1-3: Minor inconvenience, easy to fix
  • 4-6: Delayed deliverables, client impact
  • 7-10: Financial loss, compliance risk, customer churn

Friction Score = Volume x Cost of Error (max 100)

ScoreCategoryRecommendation
70-100High Volume, High CostAutomate immediately — highest ROI
40-69MediumStrong automation candidate
15-39Low-MediumAutomate after high-priority items
1-14LowLeave manual or defer indefinitely

Step 3 — Quantify the Waste

For each high-scoring workflow, calculate:

  • Hours/week wasted = (time per occurrence) x (frequency)
  • Annual cost = hours/week x 50 weeks x (blended hourly rate, default $45/hr for ops staff, $75/hr for senior staff)
  • Error cost = (error rate) x (cost per error) x (annual occurrences)
  • Total annual waste = labor cost + error cost

Step 4 — Design the Automation

For each workflow scoring 40+, propose:

  • Automation approach — which DynoClaw plugins/skills handle this
  • Data connections — what APIs or integrations are needed
  • Human checkpoints — where the human approves vs. where the agent acts autonomously
  • Failover plan — what happens when the AI encounters an edge case it can't handle
  • Implementation time — estimated hours to build and test

Step 5 — Build the ROI Model

Create a summary table:

WorkflowAnnual WasteAutomation CostAnnual SavingsROIPayback
Process A$X$Y (one-time) + $Z/mo$WW/Y %N months

Total across all workflows:

  • Total annual waste identified
  • Total automation investment (one-time + annual)
  • Net annual savings
  • Payback period
  • 3-year cumulative savings

Step 6 — Produce the Blueprint

Format the final output as:

# Operational Automation Blueprint
**Prepared for:** [Client Name]
**Date:** [Date]
**Prepared by:** ParallelScore / DynoClaw

---

## Executive Summary
[2-3 sentences: We identified X workflows consuming Y hours/week at a cost of $Z/year. We recommend automating the top N workflows, yielding $W/year in savings with a payback period of M months.]

---

## Current State Assessment
[Workflow maps from Step 1]

## Friction Matrix
[Scored table from Step 2]

## Waste Quantification
[Dollar figures from Step 3]

## Recommended Automations
[Designs from Step 4, ordered by Friction Score descending]

## Investment & ROI Summary
[Table from Step 5]

## Implementation Roadmap
| Phase | Workflows | Timeline | Investment |
|-------|-----------|----------|------------|
| Phase 1 (Quick Wins) | Top 1-2 by score | Weeks 1-2 | $X |
| Phase 2 (Core Ops) | Next 2-3 | Weeks 3-6 | $Y |
| Phase 3 (Expansion) | Remaining | Month 2-3 | $Z |

## What We Need From You
- [List of accounts, access, contacts needed]

## Next Step
Reply with "Go" to begin Phase 1, or schedule a call to discuss.

Guidelines

  • Always quantify in dollars, not just hours — executives respond to money
  • Use conservative estimates — underpromise on savings so reality exceeds projections
  • Default labor rates: $45/hr ops staff, $75/hr senior staff, $150/hr executive time
  • If the client hasn't shared enough detail, ask the discovery questions — don't guess
  • The blueprint should be client-ready — professional enough to present to a CFO
  • Frame automation as "freeing your team for strategic work" not "replacing your team"
  • Always include human checkpoints — never propose fully autonomous workflows for the first engagement
  • Include a "What happens if you do nothing" section showing compounding cost of inaction

适合场景

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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