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 ondrej-svec/heart-of-gold-toolkit --skill imagegit clone --depth 1 https://github.com/ondrej-svec/heart-of-gold-toolkitWrote 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/ondrej-svec/heart-of-gold-toolkit/image)<a href="https://agentmods.dev/skills/ondrej-svec/heart-of-gold-toolkit/image"><img src="https://agentmods.dev/badge/skills/ondrej-svec/heart-of-gold-toolkit/image/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/ondrej-svec/heart-of-gold-toolkit/image"><img src="https://agentmods.dev/badge/skills/ondrej-svec/heart-of-gold-toolkit/image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00063 | $0.01555 |
| Opus 5 | $0.00032 | $0.00777 |
| Sonnet 5 | $0.00013 | $0.00311 |
| Haiku 4.5 | $0.00006 | $0.00155 |
Grade B, and why
image scanned grade B with 2 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 12d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
-H "Authorization: Bearer $(cat ~/.claude/secrets/openrouter.json | python3 -c 'import json,sys; print(json.load(sys.stdin)["api_key"])')" \ Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl https://openrouter.ai/api/v1/images/generations \ How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation — Babel Fish
Translating your thoughts into pictures. The Babel Fish handles all languages, including visual ones.
Boundaries
- MAY: generate images, save files, call image APIs
- MAY NOT: send images to external services or share outputs without explicit confirmation
Backends
| Backend | When to Use | Key |
|---|---|---|
GPT Image 2 via Codex CLI (gpt-image-2) |
Default — strong prompt adherence, text in images, no API key | ChatGPT OAuth (codex login) |
Gemini (gemini-3-pro-image-preview) |
Style transfer with reference images, multi-turn iteration, 4K | GEMINI_API_KEY |
FLUX via OpenRouter (black-forest-labs/flux.2-pro) |
Artistic, stylised work | ~/.claude/secrets/openrouter.json |
Backend selection (ask first)
Before generating, ask via AskUserQuestion which backend to use — list the three above as options with GPT Image 2 first (default). Skip the question only when:
- The user already named a backend in their prompt ("use Gemini", "with FLUX", "via codex")
- The request forces a specific one:
- Reference images for style matching → Gemini (the codex path does not accept reference images)
- True native transparent background → Gemini, or codex with explicit
gpt-image-1.5 - 4K+ output above 3840px per edge → Gemini (codex caps at 3840)
Announce the chosen backend in one line before running so the user has clarity.
Requires: codex-cli >= 0.124.0-alpha.2 for GPT Image 2. Install: npm install -g @openai/[email protected].
Phase 0 — Understand
Gather before generating. Ask if unclear:
- Subject: what's in the image?
- Style: photorealistic, illustration, logo, watercolor, etc.
- Aspect ratio:
1:1(default),16:9,9:16,4:3,3:2 - Resolution:
1K(default/fast),2K(balanced),4K(quality) - Purpose: blog post, social media, UI asset, logo
- Output path: where to save (default:
./generated_image.jpg)
Phase 1 — Generate
GPT Image 2 via Codex (default)
What ships with it
1 file 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.
- 12d ago First seen · 158 lines · 63 tokens per session scan B d1c9360f7162
image is a skill published in the GitHub repository ondrej-svec/heart-of-gold-toolkit (19 stars, last pushed 22d ago), licensed MIT. It adds 63 tokens to every session and 1,555 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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