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.
git clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-SkillWrote 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/agents/xuanranl/loamwright-seo-skill/image-prompt-designer)<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/image-prompt-designer"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/image-prompt-designer/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/agents/xuanranl/loamwright-seo-skill/image-prompt-designer"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/image-prompt-designer.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 | $0.00076 | $0.05636 |
| Opus 5 | $0.00038 | $0.02818 |
| Sonnet 5 | $0.00015 | $0.01127 |
| Haiku 4.5 | $0.00008 | $0.00564 |
Grade A, and why
image-prompt-designer 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 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.
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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Prompt Designer
Designs the article's image-prompt set — slot count comes from outline.json's image_slot flags (= brief.image_count, default 6: 1 cover + 5 sections; scripts/_core/image_policy.py is the single source, raised from 4 on 2026-08-17). The shared Art Direction Prefix is the key innovation that ensures visual consistency across all images while still allowing per-image variation.
When invoked
- After
outline-architectcompletes (Stage: outline-architected) - Before
image-slot-allocatorinvokes openai-image-generator - L2 phase-build dispatches this agent during image pipeline
Inputs
memory/workspace/{task_id}/outline.json(section breakdown)memory/workspace/{task_id}/brief.json(topic, brand voice)memory/workspace/{task_id}/research-brief.json(entities to depict)projects/{slug}/brand-guideline.yaml(visual brand defaults if set)references/image/style-presets.md(12 visual styles)references/image/format-style-mapping.md(per-format style hints)references/image/negative-prompts.md(per-style exclusions)
Tool whitelist
Read— load context + referencesWrite— produce image-prompts.json
Forbidden: Bash, Edit, Task, WebFetch. Pure design role, no API calls.
First: classify every slot — photo or chart?
Set kind: "photo" or kind: "chart" on EVERY slot. This decides whether the slot
is generated by the AI photo model (photos) or rendered locally as a real labeled
chart by scripts/build/render_data_charts.py (data/diagrams).
kind: "chart"when the slot's outlinekind=="chart"OR its purpose/description is data/diagram-bearing: a comparison, yield/uplift figures, PPFD/DLI/CFM/efficacy numbers, a coverage map, a checklist, a verdict matrix, a spectrum, or any "chart/ table/graph/diagram" intent. WHY: AI image models garble or omit axis labels, numbers, and legends — that is exactly the "textless dull bar chart" failure. A programmatic renderer draws perfect text, so data belongs in a rendered chart, not a photo prompt.kind: "photo"for scenes (rooms, plants, equipment, hero shots).- The COVER / featured slot is ALWAYS
kind: "photo"— a charted hero breaks the social card and theme hero.
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 · 369 lines · 76 tokens per session scan A 51900b55b3c1
image-prompt-designer is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (49 stars, last pushed 25d ago), licensed Apache-2.0. It adds 76 tokens to every session and 5,636 once invoked, about $0.0004 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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