cloudinary-assets

cloudinary-assets is a skill for Claude Code from skills-il/developer-tools. It costs 124 tokens per session (7,166 once invoked), scanned A, original, MIT.

A guide to managing images and videos with Cloudinary, an online media service that stores, changes, optimizes, and delivers those files.

In plain words
What is it for?
Use it when adding media uploads, image transformations, optimized images, video management, or Cloudinary API integration.
Why use it?
It helps avoid building separate systems for uploads, resizing, format optimization, responsive images, video handling, and delivery through a content delivery network.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when adding media uploads, image transformations, optimized images, video management, or Cloudinary API integration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/skills-il/developer-tools/cloudinary-assets
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.

Any agent
npx skills add skills-il/developer-tools --skill cloudinary-assets
Clone the repo
git clone --depth 1 https://github.com/skills-il/developer-tools

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cloudinary-assets

README.md
[![agentmods](https://agentmods.dev/badge/skills/skills-il/developer-tools/cloudinary-assets/github.svg)](https://agentmods.dev/skills/skills-il/developer-tools/cloudinary-assets)
Your own site
<a href="https://agentmods.dev/skills/skills-il/developer-tools/cloudinary-assets"><img src="https://agentmods.dev/badge/skills/skills-il/developer-tools/cloudinary-assets/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cloudinary-assets

Your own site · 80×15
<a href="https://agentmods.dev/skills/skills-il/developer-tools/cloudinary-assets"><img src="https://agentmods.dev/badge/skills/skills-il/developer-tools/cloudinary-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 83
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 194
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 225
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 5.1 $0.00124 $0.07166
Opus 5.5 $0.00050 $0.02866
Sonnet 5.5 $0.00025 $0.01433
Haiku 4.5 $0.00012 $0.00717

Measured 21d ago against content hash 23f549d77a0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cloudinary-assets scanned grade A with 1 finding 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 21d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/upload_asset.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Bash(python:*) Bash(curl:*) WebFetch
cloudinary-assets/SKILL.md · 437 lines

How it starts

The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cloudinary Assets

Instructions

Step 1: Verify Cloudinary Configuration

Check for Cloudinary credentials:

import os

def get_cloudinary_config():
    """Get Cloudinary config from environment."""
    # Option 1: CLOUDINARY_URL (preferred)
    cloudinary_url = os.environ.get('CLOUDINARY_URL')
    if cloudinary_url:
        return {"url": cloudinary_url}

    # Option 2: Individual variables
    cloud_name = os.environ.get('CLOUDINARY_CLOUD_NAME')
    api_key = os.environ.get('CLOUDINARY_API_KEY')
    api_secret = os.environ.get('CLOUDINARY_API_SECRET')

    if all([cloud_name, api_key, api_secret]):
        return {"cloud_name": cloud_name, "api_key": api_key, "api_secret": api_secret}

    return None  # Credentials not configured

If not configured, guide the user:

  1. Sign up at https://cloudinary.com (free tier: 25 credits per month)
  2. Find the cloud name, API key and secret on the API Keys page of the Console Settings
  3. Set CLOUDINARY_URL=cloudinary://API_KEY:API_SECRET@CLOUD_NAME

Step 2: Choose Operation

Operation API Method When
Upload image Upload API POST /image/upload New image to store
Upload video Upload API POST /video/upload New video to store
Transform image URL-based GET (URL) Resize, crop, effects
Optimize delivery URL-based GET (URL) Performance improvement
List assets Admin API GET /resources Browse media library
Delete asset Upload API POST /{resource_type}/destroy Remove media (image, video or raw)
Get asset details Admin API GET /resources/{id} Check metadata

Step 3: Upload Media

Upload an image:

import requests
import hashlib
import time

def upload_image(file_path, cloud_name, api_key, api_secret,
                 folder="", asset_folder="", tags=None):
    """Upload image to Cloudinary."""
    timestamp = str(int(time.time()))

    # EVERY upload parameter except file, cloud_name, api_key, resource_type
    # and signature itself must be in the signed string, sorted alphabetically.
    # Signing only a subset (e.g. omitting tags) yields "Invalid Signature".
    params = {"timestamp": timestamp}
    if folder:
        params["folder"] = folder            # fixed folder mode
    if asset_folder:
        params["asset_folder"] = asset_folder  # dynamic folder mode (new accounts)
    if tags:
        params["tags"] = ",".join(tags)

    params_to_sign = "&".join(f"{k}={v}" for k, v in sorted(params.items()))
    signature = hashlib.sha1(
        f"{params_to_sign}{api_secret}".encode()
    ).hexdigest()

    url = f"https://api.cloudinary.com/v1_1/{cloud_name}/image/upload"
    data = {"api_key": api_key, "signature": signature, **params}

    with open(file_path, "rb") as f:
        response = requests.post(url, data=data, files={"file": f}, timeout=(10, 180))
    response.raise_for_status()
    return response.json()

Read the full file on GitHub · 437 lines

Files

What ships with it

8 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. 21d ago Changed · +58 lines 23f549d77a0d
  2. 1mo ago First seen · 379 lines · 124 tokens per session scan A 88f7b31328c1

Subscribe to this mod's changes

cloudinary-assets is a skill published in the GitHub repository skills-il/developer-tools (13 stars, last pushed 3d ago), licensed MIT. It adds 124 tokens to every session and 7,166 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens