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.
73%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./chatgpt/skills/roboflow-inference/SKILL.mdThe skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill instructs the agent to guide users in submitting signed-URL JSONL references or cloud storage paths via `inference rf-cloud data-staging create-batch-of-images` and similar CLI commands, but does not monitor or automatically consume outsider-submitted free text without user selection.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skills reference an external OpenAPI spec hosted on GitBook (`https://openapi.gitbook.com/...`) for Batch Processing REST API documentation, which constitutes an unverifiable runtime/setup external dependency under the dependency gate rules.
roboflow/computer-vision-skills
ad4f5c6
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.