Add Model DescriptionsCAUTION
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Overview
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
ef7d4f0535e5OBSERVED · 2026-09-25What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: add-model-descriptions
description: Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
---
# Add Model Descriptions
Add descriptions for new models available in the HuggingFace router to chat-ui's prod.yaml and dev.yaml.
## Workflow
1. **Fetch models from router**
```
WebFetch https://router.huggingface.co/v1/models
```
Extract all model IDs from the response.
2. **Read current configuration**
- Read `chart/env/prod.yaml`
- Extract model IDs from the `MODELS` JSON array in `envVars`
3. **Identify missing models**
Compare router models with prod.yaml. Missing = in router but not in prod.yaml.
4. **Research each missing model**
For each missing model, search the web for its specifications:
- Model architecture (dense, MoE, parameters)
- Key capabilities (coding, reasoning, vision, multilingual, etc.)
- Target use cases
5. **Write descriptions**
Match existing style:
- 8-12 words
- Sentence fragments (no period needed)
- No articles ("a", "the") unless necessary
- Focus on: architecture, specialization, key capability
Examples:
- `"Flagship GLM MoE for coding, reasoning, and agentic tool use."`
- `"MoE agent model with multilingual coding and fast outputs."`
- `"Vision-language Qwen for documents, GUI agents, and visual reasoning."`
- `"Mobile agent for multilingual Android device automation."`
6. **Update both files**
Add new models at the TOP of the MODELS array in:
- `chart/env/prod.yaml`
- `chart/env/dev.yaml`
Format:
```json
{ "id": "org/model-name", "description": "Description here." }
```
7. **Commit changes**
```
git add chart/env/prod.yaml chart/env/dev.yaml
git commit -m "feat: add descriptions for N new models from router"
```
## Notes
- FP8 variants: describe as "FP8 [base model] for efficient inference with [key capability]"
- Vision models: mention "vision-language" and key visual tasks
- Agent models: mention "agent" and automation capabilities
- Regional models: mention language focus (e.g., "European multilingual", "Southeast Asian")Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (4)
crates
plugin/agents
plugin/commands
plugin/skills
Gates applied: no_behavioural_pass.
ef7d4f0535e5full audit observations/trust-audit/skill/ruvnet__add-model-descriptions.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-25 | ef7d4f0535e5 | CAUTION | B | 89 | first audit |
Questions
What does the Add Model Descriptions skill do?
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Is Add Model Descriptions safe to install?
With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Add Model Descriptions access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (ef7d4f0535e5), read on 2026-09-25. The repository is watched, and a new audit runs when it changes — this is the first audit.