Skill Router BZai

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name: skill-router-bzai version: 1.0.0 description: Cost-effective skill selector for maximizing ROI on AI operations (增收降本版 v1.0.0). Use when the user needs to accomplish a task and wants the optimal skill chosen automatically to minimize costs while maximizing quality. Evaluates skills based on quality (35%), token cost (30%), security/reliability (20%), and speed (15%). Searches both local skills and clawhub.com, presents top recommendations for user confirmation before execution. metadata: purpose: "增收降本 - 智能选择最优技能以最小化Token成本"

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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

3. Evaluate Candidates

For each candidate skill, score on:

| Dimension | Weight | Evaluation Criteria | |-----------|--------|---------------------| | Quality/Utility | 35% | User ratings, downloads, functionality match | | Token Cost | 30% | Estimated input/output tokens based on skill complexity | | Security/Reliability | 20% | Code audit, permissions, update frequency, author trust | | Speed | 15% | API response time, execution efficiency |

Scoring Algorithm:

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

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