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 Jobbha/image-uploader-claude-code --skill image-uploadgit clone --depth 1 https://github.com/Jobbha/image-uploader-claude-codeWrote 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/jobbha/image-uploader-claude-code/image-upload)<a href="https://agentmods.dev/skills/jobbha/image-uploader-claude-code/image-upload"><img src="https://agentmods.dev/badge/skills/jobbha/image-uploader-claude-code/image-upload/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/jobbha/image-uploader-claude-code/image-upload"><img src="https://agentmods.dev/badge/skills/jobbha/image-uploader-claude-code/image-upload.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 | $0.00036 | $0.00288 |
| Opus 5.5 | $0.00014 | $0.00115 |
| Sonnet 5.5 | $0.00007 | $0.00058 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
image-upload 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 1mo 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.
What it actually says
Grab the user's clipboard image by detecting their OS and running the correct script:
Windows: powershell -ExecutionPolicy Bypass -File "%USERPROFILE%.claude\clipboard-grab.ps1"
macOS: bash ~/.claude/clipboard-grab.sh
Run the appropriate command for the user's operating system. If you're unsure which OS, check with: uname -s (returns "Darwin" for macOS, or fails/returns something else on Windows).
If the output is a file path (not "NO_IMAGE"), read that image file. Briefly acknowledge what you see in one sentence, then wait for the user's instructions. Do NOT write a detailed description, table, or analysis. The user is sharing the image as context for their next message — treat it like they showed you their screen. Just confirm you see it and ask what they need, or if they included a message with the upload, respond to that.
If the output is "NO_IMAGE", tell the user no image was found in the clipboard and to copy an image first (Win+Shift+S on Windows, Cmd+Ctrl+Shift+4 on Mac, or copy from any app).
$ARGUMENTS
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.
- 1mo ago First seen · 21 lines · 36 tokens per session scan A 67ed5d196fc4
image-upload is a skill published in the GitHub repository Jobbha/image-uploader-claude-code (3 stars, last pushed 8mo ago), licensed MIT. It adds 36 tokens to every session and 288 once invoked, about $0.0001 per session on Opus 5.5. 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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