Skill Router (增收降本版 v1.0.0)#

智能技能选择器 - 用于增收降本的 AI 操作优化工具。

自动选择并执行最优技能，在保证质量的前提下最小化 Token 成本。

When to Use#

• User wants to accomplish something but doesn't know which skill to use
• Multiple skills could solve the same problem - need to pick the best one
• Want to minimize token cost while maximizing quality
• Need to evaluate skills from clawhub.com before installation

Workflow#

1. Parse Task#

Analyze user request and decompose into atomic subtasks if needed.

2. Discover Skills#

Search for candidate skills:

• List local installed skills: openclaw skills list
• Search clawhub.com: clawhub search <keywords>

3. Evaluate Candidates#

For each candidate skill, score on:

DimensionWeightEvaluation CriteriaQuality/Utility35%User ratings, downloads, functionality matchToken Cost30%Estimated input/output tokens based on skill complexitySecurity/Reliability20%Code audit, permissions, update frequency, author trustSpeed15%API response time, execution efficiency

Scoring Algorithm:

text

final_score = (quality × 0.35) + (token_score × 0.30) + (security × 0.20) + (speed × 0.15)

4. Generate Recommendations#

Present Top-3 ranked options:

• Rank, skill name, final score
• Breakdown by dimension
• Estimated tokens and time
• Reasoning for recommendation
• Security assessment summary

5. User Confirmation#

Wait for user to:

• Select option (1, 2, or 3)
• Request more details about a skill
• Cancel or modify the task

6. Execute#

After confirmation:

• If skill not installed: clawhub install <skill>
• Execute the skill with original user request
• Record actual metrics vs estimates

Security Assessment#

Before recommending any skill from clawhub:

1. Code Review: Check for suspicious patterns (network calls, file system access, credential harvesting)
2. Permission Analysis: Verify requested permissions match functionality
3. Author Verification: Prefer verified authors, established projects
4. Update Frequency: Recently updated skills are preferred
5. Community Trust: Ratings, issues, download count

Red flags that disqualify a skill:

• Requests excessive permissions for its stated purpose
• Contains obfuscated code
• Makes unexpected network calls
• Has no recent updates and low community engagement

Token Estimation#

Estimate token costs based on:

• Skill description length/complexity
• Historical usage data (if available)
• Number of API calls required
• Output format verbosity

Store actual vs estimated for continuous improvement.

Scripts#

• scripts/evaluate_skill.py - Score a skill across all dimensions
• scripts/search_clawhub.py - Search and fetch skill metadata from clawhub
• scripts/calculate_cost.py - Estimate token and time costs

References#

• references/evaluation-rubric.md - Detailed scoring criteria
• references/security-checklist.md - Security audit checklist