Atlas / Skills / ruvnet / Add Model Descriptions

Add Model DescriptionsCAUTION

skills/ruvnet/add-model-descriptions

🌊 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

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
73,227
01

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

Read from source at commit ef7d4f0535e5OBSERVED · 2026-09-25
02

What 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")
03

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (4)

MEDIUMInventory / provenance · inv.symlink · CWE-1104
crates
crates
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
plugin/agents
plugin/agents
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
plugin/commands
plugin/commands
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
plugin/skills
plugin/skills
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-09-25 · audit v0.4.1 · source sha ef7d4f0535e5full audit observations/trust-audit/skill/ruvnet__add-model-descriptions.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-25ef7d4f0535e5CAUTIONB89first audit
05

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.

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