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 agentmods add skills/specter119/skills/genimgnpx skills add specter119/skills --skill genimggit clone --depth 1 https://github.com/specter119/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/specter119/skills/genimg)<a href="https://agentmods.dev/skills/specter119/skills/genimg"><img src="https://agentmods.dev/badge/skills/specter119/skills/genimg.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.00480 |
| Opus 5 | $0.00023 | $0.00240 |
| Sonnet 5 | $0.00009 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
genimg 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GenImg
Handles illustrative image generation and editing; does not handle precise structural diagrams, charts, or code-generated visuals.
USE FOR
- Generate cover illustrations, concept images, scene images, and decorative icons
- Edit existing images at the style, lighting, or detail level
- Generate multiple candidate images in batch and select a direction
DO NOT USE FOR
- Flowcharts, architecture diagrams, charts, or visuals with strict text requirements
- Images requiring precise, controllable node relationships
- Tasks where the core problem is content structure or layout implementation
Execution Skeleton
- First determine whether the image is best solved with a generative model; if code-based drawing is more appropriate, switch tools instead of forcing generation.
- Expand the user's short prompt into a 50–150 word narrative prompt following the rules in prompt-enhancement.
- Decide whether to generate once, edit an existing image, or first run the
variants + gridexploration workflow. - Execute via
scripts/generate.py; see cli-workflow for model and parameter selection.
References
- prompt-enhancement: prompt expansion rules, examples, and edit mode
- cli-workflow: CLI usage, model selection, variants/grid workflow
evals/trigger-cases.md: minimal trigger casesevals/execution-cases.md: key execution scenariosreports/optimization-notes.md: current refactor rationale and remaining gaps
Output Contract
- Default output is one image or a comparable set of images
- Unless the user explicitly requests text in the image, exclude
text/labelsby default - If the image will be used in a layout later, provide recommended aspect ratio, style, and file naming
Collaboration
- If the image is destined for a presentation or document, hand off to a layout or structure-design skill for final placement
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.
- 5d ago First seen · 49 lines · 47 tokens per session scan A ea7b9b596565
genimg is a skill published in the GitHub repository specter119/skills (2 stars, last pushed 29d ago), licensed MIT. It adds 47 tokens to every session and 480 once invoked, about $0.0002 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 2026-08-31.
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