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veomni-new-model

Use this skill when adding support for a new model to VeOmni. Owns the lifecycle around the modeling itself: analyzing the HuggingFace model, choosing the category, the training config, trainer and data-pipeline integration, tests and docs. The modeling patch itself is delegated to /veomni-patchgen-model. Trigger: 'add model', 'support new model', 'integrate a model', 'new model support'.

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, information-dense skill body: phased workflow with validation gates, concrete paths and commands, and disciplined delegation to the sibling modeling skill. Main gaps are the absence of inline example snippets for config authoring and of explicit error-recovery loops.

Suggestions

Add one short inline example (a minimal config or a named sibling config to copy verbatim) in Phase 3 so 'verify against existing configs' has a concrete starting point.

Add an explicit failure branch to Phase 5 (e.g., 'if make quality or pytest fails, fix and re-run before updating docs') to close the error-recovery loop.

Consider moving the Phase 1 checkpoint-key decision rules and the Phase 4 VLM metadata checklist into a reference file if the skill grows, keeping SKILL.md as a leaner overview.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence: it gives paths, decision rules, and pitfalls with no padding and no explanation of concepts Claude already knows. Notably, it explicitly refuses to restate the sibling skill's content ("This file deliberately does not restate them"), so every token earns its place.

5 / 5

Actionability

Guidance is highly concrete: real file paths (`veomni/models/transformers/<model_name>/`, `configs/text/<model_name>.yaml`), commands (`make quality`, `pytest tests/models/`, `make patchgen`), and specific file formats. It stays at 4 rather than 5 because several steps direct the reader to "match the structure of similar model configs" or "follow existing models" without an inline example snippet, leaving minor gaps for execution.

4 / 5

Workflow Clarity

The five phases are clearly sequenced with explicit checkpoints ("Come back here once the model loads and its registry and patch tests pass", "Run make quality and pytest tests/models/", strict-loading verification for key conflicts) and an upfront plan checklist. It sits at 4 rather than 5 because explicit error-recovery feedback loops ("if validation fails, fix and re-run") are largely implied by the delegation to the sibling skill rather than stated inline.

4 / 5

Progressive Disclosure

The body is well-sectioned, keeps its one-level-deep pointers clearly signaled (`/veomni-patchgen-model`, `.agents/knowledge/multimodal_metadata.md`, `.agents/knowledge/testing.md`), and pushes the bulk modeling detail to the sibling skill. The bundle ships no reference files of its own, and some detail-heavy passages (checkpoint-key decision rules, VLM metadata precompute checklist) are inlined rather than split out, so structure is good but not exemplary.

4 / 5

Total

17

/

20

Passed

Description

88%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete, third-person, comprehensive on both what and when, with explicit trigger phrases and a clear boundary against the sibling patchgen skill. Only slight room for improvement in trigger synonym breadth.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — "analyzing the HuggingFace model, choosing the category, the training config, trainer and data-pipeline integration, tests and docs" — comprehensively covering the skill's lifecycle in third-person voice ("Owns the lifecycle"). This matches the top anchor for multiple specific concrete actions with comprehensive coverage, not the level-4 anchor that implies minor gaps in coverage.

5 / 5

Completeness

Both questions are explicitly answered: the "what" via "Owns the lifecycle around the modeling itself: analyzing... tests and docs" and the "when" via "Use this skill when adding support for a new model to VeOmni" plus a concrete Trigger list. It also clarifies scope boundaries ("The modeling patch itself is delegated to /veomni-patchgen-model"), matching the top anchor exactly.

5 / 5

Trigger Term Quality

Explicit triggers "'add model', 'support new model', 'integrate a model', 'new model support'" are natural phrases a user would say, with good coverage across phrasings. A few natural variants (e.g., "integrate new model", "model integration", "add support for <model>") are missing, so it falls just below the comprehensive synonym coverage of the top anchor.

4 / 5

Distinctiveness Conflict Risk

The VeOmni domain binding and the explicit delegation to /veomni-patchgen-model give it a clear niche with mostly distinct triggers. Generic phrases like "add model" or "integrate a model" could plausibly fire for other model-related skills, leaving minor overlap risk rather than the minimal risk of the top anchor.

4 / 5

Total

18

/

20

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

ByteDance-Seed/VeOmni

Path

.agents/skills/veomni-new-model/SKILL.md

Reviewed

Table of Contents

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