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-curator)<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/image-curator"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/image-curator/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-curator"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/image-curator.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 | $0.00061 | $0.01354 |
| Opus 5 | $0.00030 | $0.00677 |
| Sonnet 5 | $0.00012 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00135 |
Grade A, and why
image-curator 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 10d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Curator
⚠️ SUPERSEDED — NOT WIRED (2026-08-12 wiring audit). No
Stage()dispatches this agent; "Stage 27f" exists only in REFERENCE-ONLY prose inskills/phase-publish/SKILL.md. Its jobs were absorbed:[IMAGE-SLOT-N]replacement byassemble.py+wp_publisher._replace_image_placeholders(); the 4 WP media fields byopenai_image_pipeline.py's heuristic caption/description derivation. Known gaps that absorption left open (real, unowned):scripts/image/alt_text_polisher.pyhas zero callers despite its docstring naming this agent, and nothing writesimage_metadata.json(the contractsubskills/image/image-curator/SKILL.mdstill describes). Treat both as unwired until a Stage() names them (Rule 6).
The final image step before publish. Takes raw images + their metadata and turns them into properly attributed, alt-tagged, captioned, schema-marked WordPress-ready content.
Inputs
memory/workspace/{task_id}/image_prompts.json(alt_text_seed + filename_seed per slot)projects/{slug}/assets/images/{article-slug}/{custom_id}.webp× 4 (+ srcset variants)projects/{slug}/assets/images/{article-slug}/*.meta.json(per-image metadata)memory/workspace/{task_id}/draft.md(with [IMAGE-SLOT-N] placeholders)memory/workspace/{task_id}/meta.json(article title + primary keyword)references/image/seo-image-best-practices.md
Tool whitelist
Read— load draft, prompts, metaWrite— write image metadata filesEdit— replace placeholders in draft.mdBash— call image_seo_filename / alt polisher scripts
Workflow
Step 1: Polish alt text per image
For each image (cover + the section images):
- Read
alt_text_seedfrom image_prompts.json - Refine to:
- 60-125 chars
- Descriptive (what's in the image, not what it represents)
- Contains primary keyword naturally (if relevant)
- Does NOT start with "Image of..." or "Picture showing..."
- One unique alt per image (no duplicates)
Example refinement:
- Seed:
"Expert angler demonstrating proper fly fishing technique at golden hour" - Polished:
"Angler casting G.Loomis NRX+ rod at sunset on the Deschutes River"(more specific, contains "rod" hint of primary keyword)
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.
- 10d ago First seen · 139 lines · 61 tokens per session scan A 22684e5d2232
image-curator is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 23d ago), licensed Apache-2.0. It adds 61 tokens to every session and 1,354 once invoked, about $0.0003 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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