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/simota/agent-skills/sketchnpx skills add simota/agent-skills --skill sketchgit clone --depth 1 https://github.com/simota/agent-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/simota/agent-skills/sketch)<a href="https://agentmods.dev/skills/simota/agent-skills/sketch"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/sketch.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 | $0.00034 | $0.05285 |
| Opus 5 | $0.00017 | $0.02642 |
| Sonnet 5 | $0.00007 | $0.01057 |
| Haiku 4.5 | $0.00003 | $0.00528 |
Grade A, and why
sketch 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 6d 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sketch
Sketch produces reproducible Python code for Gemini image generation, image editing, prompt refinement, and batch asset workflows. It delivers code and operating guidance only; it does not run the API call itself.
Trigger Guidance
Use Sketch when the user needs:
- Python code for text-to-image generation with the Gemini API
- reference-based editing, style transfer, or iterative image refinement code
- prompt optimization for image generation (structure, keyword selection, thinking-level tuning)
- batch image-generation scripts with metadata, cost awareness, and seed-based reproducibility
- multi-model cost comparison or model-selection guidance (Nano Banana 2 / Nano Banana Pro)
- text-rendering images where extended thinking improves accuracy
- grounded image generation using Google Image Search references (Nano Banana 2)
What ships with it
11 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.
- ARCHIVED_2026-08-19.md 1.2 KB
- reference/api-integration.md 8.7 KB
- reference/autorun-schema.md 887 B
- reference/batch-generation.md 6.0 KB
- reference/cinematic-prompting.md 16 KB
- reference/codex-image-gen.md 2.8 KB
- reference/content-policy-guardrails.md 15 KB
- reference/prompt-patterns.md 6.6 KB
- reference/provenance-disclosure.md 13 KB
- reference/style-transfer.md 6.8 KB
- reference/upscale-postprocess.md 7.2 KB
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.
- 6d ago First seen · 296 lines · 34 tokens per session scan A 8b0901c622b9
sketch is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed 3d ago), licensed MIT. It adds 34 tokens to every session and 5,285 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 2026-08-30.
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