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.
npx skills add skills-il/developer-tools --skill cloudinary-assetsgit clone --depth 1 https://github.com/skills-il/developer-toolsWrote 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.
[](https://agentmods.dev/skills/skills-il/developer-tools/cloudinary-assets)<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.
<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>- NVIDIA SkillSpector warn
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.
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.
| Model | Per session | Once 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 |
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.
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 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:
- Sign up at https://cloudinary.com (free tier: 25 credits per month)
- Find the cloud name, API key and secret on the API Keys page of the Console Settings
- 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()
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.
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.
- 21d ago Changed · +58 lines 23f549d77a0d
- 1mo ago First seen · 379 lines · 124 tokens per session scan A 88f7b31328c1
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.
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…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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.
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…
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…