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ai-models

Research, compare, and update AI model configurations. Covers text model tiers, image and video generation models, image tool models, pricing data sourcing, and the budget/rate-limit system. Use when bumping model versions, adding new models, updating pricing, or auditing model specs against provider documentation.

80

Quality

100%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is dense but well-organized and highly actionable, with executable commands, exact catalogue shapes, and an explicit post-update validation checklist. It assumes Claude's competence and avoids concept re-explanation.

DimensionReasoningScore

Conciseness

Lean, competence-assuming prose with tables and tight field lists; no explaining of basic concepts Claude already knows. Not level 2 because there is no padded or unnecessary explanation to tighten.

3 / 3

Actionability

Provides executable commands ('python .agents/skills/ai-models/scripts/model_info.py <model_id>'), exact file paths, concrete pricing-union code shapes, and provider URLs — copy-paste ready guidance rather than pseudocode.

3 / 3

Workflow Clarity

Sequenced multi-step processes ('Adding a model / route') plus an explicit 'After Any Update' validation checklist (tsc --noEmit, docs match, page renders, grep for stale IDs) and a budget checkpoint before wiring video; not level 2 because validation checkpoints are explicit, not implicit.

3 / 3

Progressive Disclosure

Well-sectioned overview (When to Use, Key Files, Tools, per-domain sections) with the referenced script (scripts/model_info.py) confirmed as a real file and no deeply nested reference chains; not level 2 because structure and signaled references are clear rather than merely present.

3 / 3

Total

12

/

12

Passed

Description

100%

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

The description is strong: it states concrete actions, natural trigger terms, explicit 'what' and 'when' guidance, and a distinct niche. Third-person voice is used throughout with no first/second-person slips.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Research, compare, and update AI model configurations', 'bumping model versions, adding new models, updating pricing, or auditing model specs') matching the multi-specific-action anchor; not level 2 because it goes beyond naming a domain plus a couple actions.

3 / 3

Completeness

Explicitly answers both what ('Research, compare, and update AI model configurations' plus coverage of tiers, image/video, pricing, budget) and when ('Use when bumping model versions, adding new models, updating pricing, or auditing model specs'), meeting the both-what-and-when anchor.

3 / 3

Trigger Term Quality

Uses natural phrasings a user would actually say ('bumping model versions', 'adding new models', 'updating pricing', 'auditing model specs'), giving good coverage rather than the partial/jargon anchor at level 2.

3 / 3

Distinctiveness Conflict Risk

Targets a clearly bounded niche (internal AI model catalogue config) with distinct, specific triggers unlikely to fire for unrelated skills; not level 2 because it is far more specific than 'Works with document files'.

3 / 3

Total

12

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
gridaco/grida
Reviewed

Table of Contents

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