roboflow-api-reference

A reference for Roboflow's REST and inference APIs, which let applications manage computer-vision projects and run models on images. It documents URLs, authentication, parameters, and error codes.

In plain words
What is it for?
Use it when integrating Roboflow through HTTP or its SDK, including project management, image handling, model inference, and Workflow execution.
Why use it?
It gives agents the exact API details needed to make requests without guessing endpoint formats or required fields.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/roboflow/computer-vision-skills/api-reference
Any agent
npx skills add roboflow/computer-vision-skills --skill api-reference
Clone the repo
git clone --depth 1 https://github.com/roboflow/computer-vision-skills

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00049 $0.01153
Opus 5 $0.00024 $0.00576
Sonnet 5 $0.00010 $0.00231
Haiku 4.5 $0.00005 $0.00115

Measured 2d ago against content hash 2a920c638b70, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

roboflow-api-reference scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/api-reference/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

For agents — source-of-truth: This skill is authored in roboflow/computer-vision-skills and shipped with the Roboflow plugin. If your client has loaded the plugin (you'll see roboflow:<name> skills in your available skills list), use those local skills — they're read fresh from disk every session. The same content served as MCP resources at roboflow://skills/<name>/... is a fallback for clients without the plugin and may lag this repo. Don't call ReadMcpResourceTool for roboflow://skills/... URIs when a local roboflow:<name> skill is available.

Tip: If you're connected to the Roboflow MCP server, prefer its tools (projects_*, versions_*, models_*, workflows_*, images_*, …) over raw REST calls — they handle auth, pagination, and typed responses for you. The REST patterns below stay relevant if you're not using MCP.

Roboflow API Reference — Overview

API Hosts

Host Base URL Purpose
Platform API https://api.roboflow.com CRUD for projects, images, versions, training, upload
Serverless Inference https://serverless.roboflow.com Model inference + Workflow execution
Dedicated Deployment https://<name>.roboflow.cloud Private GPU inference (same API as serverless)
Self-hosted Inference http://localhost:9001 Local inference server via inference package

Use the inference-sdk Python package as the preferred client for all inference hosts. It handles auth, retries, and response parsing.

Authentication

Method Where Format
Query parameter All hosts ?api_key=YOUR_KEY
Request body Platform API + Workflow inference "api_key": "YOUR_KEY" in JSON body
Header MCP server (mcp.roboflow.com) x-api-key: YOUR_KEY (handled automatically by MCP)

API keys are workspace-scoped. Get yours from Workspace Settings > API Keys in the Roboflow dashboard (app.roboflow.com/{workspace}/settings/api). Personal API keys are at /settings/account → API Keys tab.

Read the full file on GitHub · 93 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 93 lines · 49 tokens per session scan A 2a920c638b70

Subscribe to this mod's changes

roboflow-api-reference is a skill published in the GitHub repository roboflow/computer-vision-skills (35 stars, last pushed 4d ago), licensed Apache-2.0. It adds 49 tokens to every session and 1,153 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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