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 ssmurfgg04-gif/context-m --skill image-searchgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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/ssmurfgg04-gif/context-m/image-search)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/image-search"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/image-search/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/ssmurfgg04-gif/context-m/image-search"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/image-search.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 | $0.00127 | $0.01714 |
| Opus 5 | $0.00063 | $0.00857 |
| Sonnet 5 | $0.00025 | $0.00343 |
| Haiku 4.5 | $0.00013 | $0.00171 |
Grade A, and why
image-search 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 9d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
image-search (ZAI in-house, via z-ai SDK)
Searches public web images for a natural-language query, re-hosts each hit on OSS so the link is embeddable, and (optionally) attaches a short caption. The backend is ZAI's own self-developed image search service.
You do not call the backend directly, and you do not call the gateway
HTTP API directly. Always go through the z-ai image-search subcommand
from the z-ai-web-dev-sdk CLI — that's the only supported entry point.
When to activate
Trigger this skill when the user wants to:
- Find images for an article, slide deck, PPT, blog post, or report.
- Get reference photos / inspiration for a topic.
- Embed pictures into generated documents with stable URLs.
- Caption a set of images in Chinese or English.
Do not use this skill for:
- Generating new images from scratch — use
z-ai image(image generation). - Reverse image search ("what is this image of?").
- Searching images inside a private corpus — this hits public web sources.
Prerequisites
z-ai-web-dev-sdk installed, providing the z-ai binary:
npm install -g z-ai-web-dev-sdk
# or: bun add -g z-ai-web-dev-sdk
Invocation
z-ai image-search --query "<natural-language sentence>" [flags]
The CLI prints the JSON response (pretty-formatted) to stdout, or writes it
to --output <path> if supplied.
Flags
| Flag | Default | Notes |
|---|---|---|
--query, -q |
— | Required. Natural-language sentence describing what should be in the image. Prefer one coherent concept; avoid mixing unrelated keywords. |
--count, -c |
5 | Number of images to return. Range 1–20. |
--gl |
cn |
Region code for localization. Common: cn, us, jp, kr. |
--no-rank |
— | Disable captioning for a faster, caption-less response (default is on). |
--output, -o |
— | Optional: write the full JSON response to this path. |
--help, -h |
— | Show CLI help. |
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.
- 9d ago First seen · 164 lines · 127 tokens per session scan A c24c9884d5d5
image-search is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 127 tokens to every session and 1,714 once invoked, about $0.0006 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 2026-09-03.
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