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Consulting

作者 AGIstack · GitHub ↗ · v3.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install consulting
功能描述
Consulting practice management with engagement scoping, proposal writing, pricing strategy, and client relationship management. Use when user mentions consul...
使用说明 (SKILL.md)

Consulting

Consulting practice system. Deliver work that changes things.

Critical Privacy & Safety

Data Storage (CRITICAL)

  • All client data stored locally only: memory/consulting/
  • Strict client confidentiality - no data sharing between engagements
  • No external CRM connections
  • No cloud storage of client information
  • User controls all data retention and deletion

Safety Boundaries

  • ✅ Help scope engagements and identify real problems
  • ✅ Write proposals and structure deliverables
  • ✅ Guide pricing and value conversations
  • ✅ Navigate difficult client situations
  • NEVER replace consultant judgment or independence
  • NEVER make client decisions
  • NEVER share client information across engagements

Professional Note

Consulting value depends on independence and judgment. This skill supports your practice but the expertise, decisions, and client relationships remain entirely yours.

Data Structure

Consulting data stored locally:

  • memory/consulting/engagements.json - Active and past engagements
  • memory/consulting/proposals.json - Proposal templates and history
  • memory/consulting/deliverables.json - Deliverable structures
  • memory/consulting/pricing.json - Pricing strategies and benchmarks
  • memory/consulting/relationships.json - Client relationship notes

Core Workflows

Scope Engagement

User: "Help me scope this new client engagement"
→ Use scripts/scope_engagement.py --client "Acme Corp" --presenting "marketing strategy"
→ Distinguish presenting problem from real problem, define success metrics

Write Proposal

User: "Write a proposal for the operations project"
→ Use scripts/write_proposal.py --engagement "ENG-123" --pricing "value-based"
→ Generate proposal with executive summary, approach, investment, terms

Structure Pricing

User: "How should I price this engagement?"
→ Use scripts/structure_pricing.py --type "project" --value "$500K savings"
→ Recommend pricing model and anchor points

Structure Deliverable

User: "Structure my findings for maximum impact"
→ Use scripts/structure_findings.py --audience "C-suite" --type "recommendation"
→ Build deliverable: recommendation first, supporting evidence, implementation

Navigate Difficult Situation

User: "Client is not implementing what we agreed"
→ Use scripts/navigate_situation.py --type "implementation-gap" --engagement "ENG-123"
→ Prepare conversation that holds client accountable without damaging relationship

Module Reference

Scripts Reference

Script Purpose
scope_engagement.py Scope new engagement
write_proposal.py Write client proposal
structure_pricing.py Design pricing strategy
structure_findings.py Structure deliverable
navigate_situation.py Navigate client challenge
log_engagement.py Log engagement details
track_deliverable.py Track deliverable progress
generate_questions.py Generate discovery questions
安全使用建议
This skill's documentation claims multiple scripts and reference files, but the package only includes scope_engagement.py. That makes the skill incomplete rather than malicious. Before installing or using it: 1) Inspect the included script (already done) — it only writes a JSON under ~/.openclaw/workspace/memory/consulting and prints prompts (no network activity). 2) Ask the publisher or check the source for the missing scripts and reference files (write_proposal.py, structure_pricing.py, etc.) if you need those features. 3) If you proceed, run it in a sandbox or test account first; note it will create/modify ~/.openclaw/workspace/memory/consulting/engagements.json so back up or adjust the path if that’s a concern. 4) If you expect a full toolkit from this skill, treat the current package as incomplete and avoid relying on it for production use. If additional files appear that contact external endpoints or request credentials, reassess — that would raise the risk level.
功能分析
Type: OpenClaw Skill Name: consulting Version: 3.0.0 The consulting skill bundle is a legitimate tool for managing client engagements and proposals. The provided script, `scripts/scope_engagement.py`, performs basic local file I/O to store engagement data in a dedicated workspace directory, consistent with the privacy claims in `SKILL.md`. No evidence of data exfiltration, unauthorized network access, or malicious execution was found.
能力评估
Purpose & Capability
The name/description promise a multi-script consulting system (scoping, proposals, pricing, deliverables, relationships). The package only contains one script (scope_engagement.py). SKILL.md references many scripts and reference files that are not included. The one included script does match the 'scope engagement' capability, but the overall claim-to-implementation mismatch is problematic.
Instruction Scope
Runtime instructions in SKILL.md instruct the agent to run many scripts (write_proposal.py, structure_pricing.py, etc.) that are not present. The SKILL.md also documents local memory paths; the actual script writes to ~/.openclaw/workspace/memory/consulting which is consistent in intent but not exactly the same literal path described earlier. The instructions do not perform network calls or request credentials, so there's no immediate exfiltration risk, but the missing files mean the agent may attempt to run nonexistent commands and fail or behave unexpectedly.
Install Mechanism
No install spec — instruction-only plus a small local script. Nothing is downloaded or extracted; no package installs are requested.
Credentials
No environment variables, credentials, or external config paths are required. The script only reads/writes a local JSON file under the user's home directory.
Persistence & Privilege
Skill is not marked always:true and does not request elevated privileges or modify other skills. It writes its own data under a dot-directory in the user's home — expected for a local memory store.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install consulting
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /consulting 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.0.0
Major update: Added engagement scoping, proposal writing, pricing strategy, deliverable structuring, and client relationship management
v2.0.1
Complete rewrite with deeper content
v1.0.0
Initial release
元数据
Slug consulting
版本 3.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 3
常见问题

Consulting 是什么?

Consulting practice management with engagement scoping, proposal writing, pricing strategy, and client relationship management. Use when user mentions consul... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 526 次。

如何安装 Consulting?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install consulting」即可一键安装,无需额外配置。

Consulting 是免费的吗?

是的,Consulting 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Consulting 支持哪些平台?

Consulting 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Consulting?

由 AGIstack(@agistack)开发并维护,当前版本 v3.0.0。

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