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 commands/thesmokedev/taskchad-os/image-node-rendergit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWhat 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 | $0.00016 | $0.00860 |
| Opus 5 | $0.00008 | $0.00430 |
| Sonnet 5 | $0.00003 | $0.00172 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
image-node-render 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 2d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Node Render
Workflow ID: $WORKFLOW_ID
Contract
Render the prompt pack using Codex built-in image generation only. This node must never use OpenAI API keys, ad hoc SDK scripts, external marketplace services, or any fallback CLI or API renderer.
Read:
$ARTIFACTS_DIR/image-node-preflight.json$ARTIFACTS_DIR/image-node-prompt-pack.json$ARTIFACTS_DIR/images/manifest.json- Upstream intake JSON:
$intake.output
Write:
- Final generated images under
$ARTIFACTS_DIR/images/ - Updated
$ARTIFACTS_DIR/images/manifest.json $ARTIFACTS_DIR/render-blocked.mdonly if rendering is blocked
Then output ONLY the render JSON described below.
Variant Selection
- Read
render_modefrom$intake.output.render_mode. - When
render_modeisbaked, render each concept'sbaked_prompt. - When
render_modeisoverlay, render each concept'soverlay_prompt. The overlay copy stays as HTML data in the pack. Do not bake it here. The rendered image is the text-free scene with reserved empty space. - Record which variant was rendered in the manifest and in the render JSON.
Render Rules
- When
$intake.output.subject_modeisplaceholderand$intake.output.persona_packisnone, do not render. Writerender-blocked.mdand outputrender_status: "blocked"withblocked_reasonstating the pack carries a[SUBJECT SUPPLIED AT RENDER TIME]slot and expects a downstream renderer to supply the subject references. Rendering the placeholder literally would produce garbage. - Use the built-in Codex image generation capability for each selected prompt.
- Make one image generation call per concept.
- Inspect each generated image for prompt fit, visible text accuracy in the baked case, empty overlay space in the overlay case, and major visual failures.
- Move or copy selected final images into
$ARTIFACTS_DIR/images/. Do not leave the only copy in the default Codex generated-images location. - Use stable filenames:
asset-01.png,asset-02.png, and so on. - Update the manifest with saved image paths, source concept ids, the rendered variant, and any review notes.
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.
- 2d ago First seen · 101 lines · 16 tokens per session scan A 777d41825d81
image-node-render is a command published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 10d ago), licensed MIT. It adds 16 tokens to every session and 860 once invoked, about $0.0001 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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content-systemize
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nano-banana
Generate or edit images using Google's Gemini Image model.