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roboflow-inference

Deployment option comparison (serverless, dedicated, self-hosted, batch) and Workflow execution patterns. For raw API URL patterns, auth, and request/response formats, see roboflow-api-reference.

60

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

The content is highly actionable with executable CLI commands and tool tables, and it uses clean progressive disclosure to push detail into signaled reference files. It is slightly verbose in its framing blockquotes and lacks an explicit validation checkpoint in the batch-processing flow.

Suggestions

Tighten the opening 'source-of-truth' and 'Authoring Workflows' Mode A/B blockquotes to remove rationale that does not change what Claude does.

Add an explicit verify/validate step to the Batch Processing flow (e.g., check job output integrity before exporting or consuming results).

DimensionReasoningScore

Conciseness

Mostly dense and table/command-driven, but the opening 'source-of-truth' and 'Authoring Workflows' Mode A/B blockquotes add explanatory framing and rationale that could be tightened.

2 / 3

Actionability

Provides copy-paste-ready CLI commands (the `inference rf-cloud` block), named MCP tools in a table, and concrete mitigation strategies with specific block names — fully executable guidance.

3 / 3

Workflow Clarity

The Batch Processing flow is sequenced (stage → submit → monitor → export) and workflow-spec validation is mentioned, but the batch operation lacks an explicit verify-results checkpoint, which per the rubric caps batch workflow clarity at 2.

2 / 3

Progressive Disclosure

The body is an overview that offloads detail to well-signaled, one-level-deep references (workflows.md, local-tooling.md, batch-staging.md, batch-jobs.md) with clear 'See X for ...' navigation.

3 / 3

Total

10

/

12

Passed

Description

67%

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 specific and well-differentiated, naming four deployment options and workflow execution, but it omits an explicit 'Use when' trigger clause and uses somewhat technical phrasing that limits natural trigger-term coverage.

Suggestions

Add an explicit 'Use when...' clause listing natural trigger phrases (e.g., 'Use when deploying a Roboflow model, choosing serverless vs dedicated vs self-hosted, or running/composing inference workflows').

Soften jargon like 'Workflow execution patterns' toward terms a user would actually say, such as 'run inference workflows'.

DimensionReasoningScore

Specificity

Names multiple concrete capabilities — 'Deployment option comparison (serverless, dedicated, self-hosted, batch)' and 'Workflow execution patterns' — listing four specific deployment options rather than vague abstraction.

3 / 3

Completeness

Clearly states what the skill does but lacks any 'Use when...' clause or equivalent explicit trigger guidance, which per the rubric caps completeness at 2.

2 / 3

Trigger Term Quality

Includes relevant terms users might say (serverless, dedicated, self-hosted, batch, workflow) but leans technical ('Workflow execution patterns') and misses common variations like 'deploy a model' or 'run inference'.

2 / 3

Distinctiveness Conflict Risk

The Roboflow inference deployment niche is specific, and the explicit redirect to roboflow-api-reference for raw API patterns shows deliberate disambiguation from sibling skills.

3 / 3

Total

10

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 8 missing, 1 suspicious

Warning

Total

15

/

16

Passed

Repository
roboflow/computer-vision-skills
Reviewed

Table of Contents

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