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 skills add jtsternberg/claude-plugins --skill blog-image-promptsgit clone --depth 1 https://github.com/jtsternberg/claude-pluginsWrote 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/jtsternberg/claude-plugins/blog-image-prompts)<a href="https://agentmods.dev/skills/jtsternberg/claude-plugins/blog-image-prompts"><img src="https://agentmods.dev/badge/skills/jtsternberg/claude-plugins/blog-image-prompts/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/skills/jtsternberg/claude-plugins/blog-image-prompts"><img src="https://agentmods.dev/badge/skills/jtsternberg/claude-plugins/blog-image-prompts.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 | $0.00017 | $0.00890 |
| Opus 5 | $0.00009 | $0.00445 |
| Sonnet 5 | $0.00003 | $0.00178 |
| Haiku 4.5 | $0.00002 | $0.00089 |
Grade A, and why
blog-image-prompts 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 11d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Post Image Prompt Generator
Workflow Checklist
Copy and track progress:
Image Prompt Progress:
- [ ] Step 1: Analyze blog post (type, tone, themes)
- [ ] Step 2: Identify placement points
- [ ] Step 3: Determine visual style
- [ ] Step 4: Generate prompts
- [ ] Step 5: Validate prompts
- [ ] Step 6: Write output file
Process
Step 1: Analyze the Blog Post
Identify:
- Content type: Technical, personal essay, business, opinion, how-to
- Key themes: Concepts, metaphors, or ideas that could be visualized
- Structure: Sections and natural break points
Step 2: Identify Placement Points
| Location | When to Use |
|---|---|
| Hero | Almost always |
| Section breaks | Long posts with distinct sections |
| Concept illustrations | Abstract ideas needing visualization |
| Emotional beats | Key moments in narratives |
Quantity (flexible guidelines):
- Short posts: 1-2 images
- Medium posts: 2-4 images
- Long posts: 3-6 images
Not every section needs an image.
Step 3: Determine Visual Style
| Content Type | Style Direction |
|---|---|
| Technical | Diagrams, isometric, flat design |
| Personal essays | Editorial photography, painterly, atmospheric |
| Business | Professional, polished |
| Opinion | Conceptual, metaphorical, abstract |
Step 4: Generate Prompts
Each prompt must include these six elements:
- Subject - Main focus
- Style - Illustration, photograph, diagram, etc.
- Mood - Lighting, color palette, emotional tone
- Composition - Framing, perspective, negative space
- Details - Specific elements from the blog content
- Alt text - Descriptive alt text for the generated image (for accessibility and SEO)
For concrete examples, see references/prompt-examples.md.
Step 5: Validate Prompts
Before presenting, verify each prompt:
- References specific content/metaphors from the post
- Style is consistent across all prompts
- Aspect ratio specified (16:9 for headers, 1:1 or 4:3 for inline)
- Explicitly excludes common AI clichés (lightbulbs for ideas, handshakes for business, etc.)
- No text rendering requested (AI struggles with text)
- Alt text is descriptive and contextual (not just restating the prompt)
What ships with it
1 file 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.
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.
- 11d ago First seen · 120 lines · 17 tokens per session scan A c9b46d4ef164
blog-image-prompts is a skill published in the GitHub repository jtsternberg/claude-plugins (5 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 890 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 2026-08-31.
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