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/cluesmith/ci-channel/generate-imagenpx skills add cluesmith/ci-channel --skill generate-imagegit clone --depth 1 https://github.com/cluesmith/ci-channelWrote 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/cluesmith/ci-channel/generate-image)<a href="https://agentmods.dev/skills/cluesmith/ci-channel/generate-image"><img src="https://agentmods.dev/badge/skills/cluesmith/ci-channel/generate-image.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 | $0.00050 | $0.00376 |
| Opus 5 | $0.00025 | $0.00188 |
| Sonnet 5 | $0.00010 | $0.00075 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
generate-image 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.
This is a copy
100% identical to generate-image — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
generate-image - AI Image Generation
Uses Google Gemini to generate images from text prompts.
Synopsis
codev generate-image "<prompt>" [options]
Note: this is a codev subcommand, not standalone.
All flags
-o, --output <file> Output file path (default: output.png)
-r, --resolution <res> Resolution: 1K, 2K, 4K (default: 1K)
-a, --aspect <ratio> Aspect ratio (default: 1:1)
--ref <image> Reference image (repeatable, max 14)
Aspect ratios
1:1 | 16:9 | 9:16 | 3:4 | 4:3 | 3:2 | 2:3
Examples
codev generate-image "A sunset over mountains"
codev generate-image "A futuristic city" -r 4K -a 16:9 -o city.png
codev generate-image "Same style but with cats" --ref style.png --ref layout.png
codev generate-image prompt.txt -o result.png # Prompt from .txt file
Notes
- Prompt must be quoted if it contains spaces
- Prompt can be a
.txtfile path (auto-detected by extension) - Reference images must exist on disk
- Requires
GEMINI_API_KEYorGOOGLE_API_KEYenvironment variable
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 · 46 lines · 50 tokens per session scan A 90c1095f23b4
generate-image is a skill published in the GitHub repository cluesmith/ci-channel (4 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 376 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to generate-image, differing in 0 lines, and is treated as a copy.
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