rei
Set up Rei Qwen3 Coder as a model provider. Use when configuring coder.reilabs.org, adding Rei to Clawdbot, or troubleshooting 403 errors from Rei endpoints.
92
88%
Does it follow best practices?
Impact
100%
1.66xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description for a niche configuration task. It excels at completeness with a clear 'Use when' clause and has excellent distinctiveness due to specific proper nouns and error codes. The only minor weakness is that the 'what' portion could enumerate more specific actions beyond just 'set up'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (model provider setup) and some actions (configuring, adding, troubleshooting 403 errors), but doesn't list comprehensive concrete actions like specific configuration steps or multiple troubleshooting scenarios. | 2 / 3 |
Completeness | Clearly answers both 'what' (set up Rei Qwen3 Coder as a model provider) and 'when' (configuring coder.reilabs.org, adding Rei to Clawdbot, troubleshooting 403 errors) with an explicit 'Use when' clause. | 3 / 3 |
Trigger Term Quality | Includes highly specific natural trigger terms users would actually say: 'Rei Qwen3 Coder', 'coder.reilabs.org', 'Clawdbot', '403 errors', 'Rei endpoints'. These are precise terms that match real user queries. | 3 / 3 |
Distinctiveness Conflict Risk | Extremely distinct with unique proper nouns (Rei Qwen3 Coder, coder.reilabs.org, Clawdbot) and specific error codes (403). Very unlikely to conflict with any other skill. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that provides multiple clear paths for setup (script, agent, manual) with concrete, executable commands and configuration. Its main weakness is the lack of a verification step after setup—there's no 'test your connection' checkpoint to confirm the provider is working before moving on. The troubleshooting section partially compensates but is reactive rather than proactive.
Suggestions
Add a verification step after setup, e.g., 'Verify: `clawdbot model list` should show rei-qwen3-coder, or run `/model rei` and send a test message.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It doesn't explain what OpenAI-compatible endpoints are or how JSON configuration works—it assumes Claude's competence. Every section serves a distinct purpose with no redundant explanation. | 3 / 3 |
Actionability | Provides fully executable commands (setup script, switch scripts, revert script), copy-paste ready JSON configuration for manual setup, and specific chat commands for model switching. All guidance is concrete and immediately usable. | 3 / 3 |
Workflow Clarity | Multiple setup paths are clearly presented (script, agent, manual), and troubleshooting covers common errors. However, there are no explicit validation checkpoints—after setup or manual configuration, there's no step like 'verify the connection works' or 'test with a sample request' before proceeding. | 2 / 3 |
Progressive Disclosure | Content is well-structured with clear sections progressing from quick setup (script) to agent-based setup to manual configuration. The inline JSON config is appropriate since it's the primary reference material. For a skill of this size, the organization is clean and navigable. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- Demerzels-lab/elsamultiskillagent
- Commit
45f9fac
- Reviewed
Table of Contents
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