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 spencerpauly/awesome-cursor-skills --skill generating-imagesgit clone --depth 1 https://github.com/spencerpauly/awesome-cursor-skillsWrote 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/spencerpauly/awesome-cursor-skills/generating-images)<a href="https://agentmods.dev/skills/spencerpauly/awesome-cursor-skills/generating-images"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/generating-images/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/spencerpauly/awesome-cursor-skills/generating-images"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/generating-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
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 →
- high Privilege Escalation · line 57 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 58 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 64 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 9 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 312 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00138 | $0.03837 |
| Opus 5 | $0.00069 | $0.01919 |
| Sonnet 5 | $0.00028 | $0.00767 |
| Haiku 4.5 | $0.00014 | $0.00384 |
Grade A, and why
generating-images 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- generating-images — 92% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generating Images (OpenAI gpt-image-2)
Use this skill any time the user asks to generate or edit an image. It wraps
OpenAI's gpt-image-2 model via a Python script, supports both text-only
prompts and one-or-more reference images, and writes the resulting PNG/JPEG/WebP
to disk.
Hard rules (do not violate)
- Always use
gpt-image-2. Never fall back togpt-image-1,dall-e-3, or any other model. The script has no--modelflag for this reason. - Fail fast on any error. Do not retry, do not swap models, do not patch around missing credentials, do not silently degrade quality. If the script exits non-zero, surface the error to the user verbatim and stop.
- Do not "fix" a missing
OPENAI_API_KEYby reading from.envfiles, 1Password, etc. unless the user explicitly tells you to. If the env var is missing, ask the user how they want to provide it (or toexportit) and then stop.
When to use
- User asks for a generated image: icon, logo, illustration, mockup, OG image, blog hero, marketing asset, concept art, diagram-style image, etc.
- User provides one or more images and asks to edit, restyle, combine, or use them as references.
- User asks to remove/replace part of an image (use
--mask).
Do not use this skill for:
- Charts/plots/data viz (generate via code instead).
- Sourcing existing photos (use a stock photo skill if available).
- Screenshots of the user's app (use a screenshot skill if available).
Prerequisites
1. OpenAI API key
You need an OPENAI_API_KEY exported in your environment. Get one at
platform.openai.com/api-keys.
The skill ships with a .env.example next to this SKILL.md. Copy it and
fill in your key:
cp .env.example .env
# then edit .env and put your real key in
Then export it before running the script:
set -a && source .env && set +a
Or just export it directly in your shell:
export OPENAI_API_KEY="sk-..."
What ships with it
2 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.
- 11d ago First seen · 366 lines · 138 tokens per session scan A c05c80f33008
generating-images is a skill published in the GitHub repository spencerpauly/awesome-cursor-skills (770 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 138 tokens to every session and 3,837 once invoked, about $0.0007 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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