A specialized benchmarking tool to detect description conflicts and generate test cases for AI agent skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-routing-benchmark
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-routing-benchmark using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Skill Routing Benchmark?
Skill Routing Benchmark is a professional utility designed to maintain the integrity of agent routing logic. Within the ecosystem of Openclaw Skills, it serves as a quality assurance layer that analyzes multiple skill definitions to find overlapping logic or ambiguous descriptions. By synthesizing task books and generating structured results, it ensures that your AI agents respond accurately to user intents without routing collisions.
This skill is particularly valuable during the design and development phase of agentic workflows. It provides developers with a structured framework to validate skill boundaries, offering not just vague suggestions but concrete evidence of potential conflicts, accompanied by actionable modification advice.
Skill Routing Benchmark Use Cases
- Identifying routing conflicts between highly similar skill descriptions to prevent agent confusion.
- Generating negative trigger examples and counter-examples for robust model training.
- Building comprehensive regression test suites for a bundle of Openclaw Skills.
- Refining skill metadata based on structured feedback and priority analysis.
How Skill Routing Benchmark Works
- The user inputs multiple skill descriptions and a target task for analysis.
- The skill reorganizes the input into a formal task book to establish a clear baseline.
- It compares descriptions to identify high-risk overlaps and logic gaps.
- If information is missing, it explicitly lists items for confirmation rather than hallucinating details.
- The tool generates a structured report including potential conflicts, positive/negative examples, and priority levels.
- Finally, it produces a regression test set based on provided templates and specifications.
Skill Routing Benchmark Setup
To use this tool within the Openclaw Skills environment, ensure Python 3 is installed. Use the following command structure to run a benchmark analysis:
python3 "{baseDir}/scripts/run.py" --input <input_file> --output <output_file>
Skill Routing Benchmark Data Schema & Taxonomy
The skill organizes its operations through a specific directory structure and metadata taxonomy:
| Component | Path | Function |
|---|---|---|
| Specification | {baseDir}/resources/spec.json |
Defines the rules and routing logic for the benchmark. |
| Output Template | {baseDir}/resources/template.md |
Standardized Markdown structure for reports. |
| Example Data | {baseDir}/examples/ |
Reference inputs and outputs for user guidance. |
| Smoke Tests | {baseDir}/tests/smoke-test.md |
Automated checks to ensure the benchmark skill is functioning. |
Skill Routing Benchmark Advanced Features
- Support for dry-run scenarios to audit skill changes without affecting live configurations.
- Multi-agent routing analysis for complex workflows involving several Openclaw Skills.
- Automated generation of regression testing suites for continuous integration and delivery (CI/CD).
- Built-in safety boundaries that prioritize read-only auditing and privacy compliance.
SKILL.md
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