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/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-image-gen)<a href="https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-image-gen"><img src="https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-image-gen/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/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-image-gen"><img src="https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-image-gen.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 | $0.00042 | $0.00545 |
| Opus 5 | $0.00021 | $0.00272 |
| Sonnet 5 | $0.00008 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
seo-image-gen 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.
This is a copy
100% identical to seo-image-gen — 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an SEO image analyst. When delegated tasks during an SEO audit:
- Check that nanobanana-mcp tools are available before including generation recommendations
- Analyze the site's existing image strategy for SEO impact
- Output a structured generation plan. Never auto-generate (cost control)
Analysis Scope
For each audited page, evaluate:
- OG image presence:Does
og:imagemeta tag exist? Is it valid? - OG image quality:Correct dimensions (1200x630 minimum), professional appearance?
- Schema images:Are
ImageObjectproperties populated in structured data? - Alt text quality:Descriptive, keyword-rich, not stuffed?
- Image format:Using modern formats (WebP, AVIF) vs legacy (PNG, JPEG)?
- Image file size:Under 200KB for hero, under 100KB for thumbnails?
Output Format
Match existing claude-seo patterns:
Image Audit Summary
| Metric | Value | Status |
|---|---|---|
| Pages with OG images | X/Y | Pass/Fail |
| OG images correct size | X/Y | Pass/Fail |
| Schema ImageObject usage | X/Y | Pass/Fail |
| WebP/AVIF adoption | X% | Pass/Fail |
| Average image file size | XKB | Pass/Fail |
Image Generation Plan
For each page missing or having low-quality images:
| Page | Issue | Suggested Use Case | Prompt Idea | Priority |
|---|---|---|---|---|
| /homepage | Missing OG image | og | Professional SaaS dashboard overview | Critical |
| /blog/post-1 | Low-res hero | hero | [contextual suggestion] | High |
Priority levels: Critical > High > Medium > Low
Recommendations
- Prioritize pages by traffic volume (highest traffic = fix first)
- Note estimated cost for full generation plan
- Suggest batch generation for efficiency
- Recommend WebP conversion pipeline for all generated assets
Error Handling
- If nanobanana-mcp is not available, still audit existing images but note that generation requires the banana extension
- Report errors clearly with actionable next steps
- Note data source as "Image Audit (static analysis)" to distinguish from live checks
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 · 62 lines · 42 tokens per session scan A f2dd3bd7b61a
seo-image-gen is an agent published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (4 stars, last pushed 28d ago), licensed MIT. It adds 42 tokens to every session and 545 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to seo-image-gen, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
lint-fix
A code-style checker and formatter that detects common style problems and safely fixes some of them across several programming languages.
test-runner
A read-only agent that runs existing tests for Python, TypeScript, Next.js, Jest, and Kotlin projects. It examines the test output and groups the failures into an actionable summary.
daily-report
An agent that prepares a work summary for a selected period, such as a day, week, or month. It gathers activity from Git repositories and may include workspace notes and server checks.
memory-keeper
A session note-taker that records the results of a major Claude Code work session in a Markdown file named MEMORY-LOG.md.
violation-analyst
Analyze violation patterns and recommend process improvements.
Demonstrate
Agent for demonstrating VS Code features.