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 glebis/claude-skills --skill gpt-image-2git clone --depth 1 https://github.com/glebis/claude-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/glebis/claude-skills/gpt-image-2)<a href="https://agentmods.dev/skills/glebis/claude-skills/gpt-image-2"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/gpt-image-2/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/glebis/claude-skills/gpt-image-2"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/gpt-image-2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 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 System Prompt Leakage · line 203 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Excessive Agency · line 157 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.
- medium Rogue Agent · line 161 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 200 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 | $0.00099 | $0.02505 |
| Opus 5 | $0.00049 | $0.01252 |
| Sonnet 5 | $0.00020 | $0.00501 |
| Haiku 4.5 | $0.00010 | $0.00250 |
Grade B, and why
gpt-image-2 scanned grade B 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 7d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
# Dry run (show prompt without API call) How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT Image 2 — Interactive Image Generation
Generate and edit images via OpenAI's GPT Image 2 API with an interactive, guided workflow.
Interactive Flow
When the user invokes this skill, guide them through these steps using AskUserQuestion. Do not skip steps — the interactive flow is the core experience.
Step 1: What are we making?
Ask the user what they want to create. Offer these options:
- Single image — one image from a text prompt
- Photo edit — transform an existing photo into a style
- Carousel — 5-10 cohesive slides for LinkedIn/Instagram
- Variants — multiple versions of the same concept
- Quick generate — skip questions, just run the prompt
If the user already provided a clear prompt (e.g. "generate an editorial image of a rocket"), skip to Step 3.
Step 2: Style selection
Show the user available presets grouped by category. Read presets.yaml and present them:
Visual styles (no text in image): editorial, blueprint, ink, risograph, wireframe, constellation, brutalist, grain
Text-heavy (leverages GPT Image 2 text rendering): infographic, slide, diagram, poster, menu, manga
Community favorites: trading-card, pixar, app-mockup, isometric, action-figure, cinematic, panorama
Reference-anchored:
vhs — 1980s late-night infomercial title card: scanline-striped gradient italic caps on pure black. It auto-attaches a bundled reference image (references/vhs-infomercial.png), so the look stays consistent batch-to-batch. Pass the ad copy as the subject; for multi-line copy separate lines with / (e.g. --preset vhs "THEY TRUSTED YOU / NOW / PROVE IT").
Custom — user describes their own style
Ask: "Which style? Or describe your own."
Step 3: Platform & sizing
Ask where this will be used:
- YouTube thumbnail (1280×720)
- Instagram square (1080×1080)
- Slides/presentation (1920×1080)
- Blog hero (1200×630)
- X/Twitter (1600×900)
- Story (1080×1920)
- Custom size
- No resize (use API default)
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.
- 7d ago First seen · 221 lines · 99 tokens per session scan B d75de4de5a65
gpt-image-2 is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 8d ago), licensed MIT. It adds 99 tokens to every session and 2,505 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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