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 Orkas-AI/Orkas-Awesome-AgentSkills --skill image-reviewgit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/image-review)<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/image-review"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/image-review/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/orkas-ai/orkas-awesome-agentskills/image-review"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/image-review.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 | $0.00000 | $0.00781 |
| Opus 5 | $0.00000 | $0.00391 |
| Sonnet 5 | $0.00000 | $0.00156 |
| Haiku 4.5 | $0.00000 | $0.00078 |
Grade A, and why
image-review 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Review
When to Use
Use this skill when the user provides an image or image path and asks whether it is good enough, matches the prompt, or needs regeneration/editing.
Use especially when the image includes:
- text, logo-like elements, product details, people, hands, faces, or complex layouts.
- commercial, brand, social, presentation, ad, ecommerce, or print use.
- reference-image consistency requirements.
- safety, copyright, privacy, or misleading-content risks.
Do not invent an image review if the image cannot be viewed or read. Ask for an upload/path or state that only a generic checklist can be provided.
Workflow
- Gather context:
- original user request, prompt, target use, platform/format, reference images, and output image.
- Inspect what is visible:
- subject, composition, text, lighting, colors, artifacts, crop, resolution, and file constraints.
- Score the image:
- Prompt adherence.
- Technical quality.
- Composition and aesthetics.
- Fitness for target use.
- Text and detail reliability.
- Reference consistency.
- Safety, copyright, privacy, and brand risk.
- Separate objective issues from subjective preferences.
- Preserve successful elements in any revision advice.
- Recommend the smallest next action:
- accept as-is.
- local post-process.
- local/AI edit.
- regenerate with revised prompt.
- ask for missing source/reference material.
Return Format
## Image Review
### Verdict
Accept / Minor post-process / Local edit / Regenerate / Need more context
### Scores
- Prompt adherence:
- Technical quality:
- Composition:
- Target-use fit:
- Text/detail reliability:
- Reference consistency:
- Safety/copyright/privacy:
### Issues
1. Issue:
Evidence:
Fix:
### Revised Prompt Or Edit Brief
...
### Keep
- Elements that already work:
### Next Step
...
Dependencies
- The image must be visible or readable.
- Prompt/source brief is needed for prompt adherence review.
- Reference images are needed for consistency review.
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 · 100 lines · 0 tokens per session scan A 661beb99b883
image-review is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 781 tokens. 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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