Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sbusso/claudeclawnpx agentmods add skills/sbusso/claudeclaw/add-image-visionWrote 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/sbusso/claudeclaw/add-image-vision)<a href="https://agentmods.dev/skills/sbusso/claudeclaw/add-image-vision"><img src="https://agentmods.dev/badge/skills/sbusso/claudeclaw/add-image-vision/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/sbusso/claudeclaw/add-image-vision"><img src="https://agentmods.dev/badge/skills/sbusso/claudeclaw/add-image-vision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 57 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00034 | $0.00779 |
| Opus 5 | $0.00017 | $0.00390 |
| Sonnet 5 | $0.00007 | $0.00156 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
add-image-vision 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.
Copies of this mod
7 near-identical copies found in the catalogue:
- add-image-vision — 91% identical, 18 lines differ
- add-image-vision — 91% identical, 18 lines differ
- add-image-vision — 91% identical, 18 lines differ
- add-image-vision — 91% identical, 18 lines differ
- add-image-vision — 91% identical, 18 lines differ
- add-image-vision — 91% identical, 18 lines differ
- add-image-vision — 86% identical, 18 lines differ
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Vision Skill
Adds the ability for ClaudeClaw agents to see and understand images sent via WhatsApp. Images are downloaded, resized with sharp, saved to the group workspace, and passed to the agent as base64-encoded multimodal content blocks.
Phase 1: Pre-flight
- Check if
src/image.tsexists — skip to Phase 3 if already applied - Confirm
sharpis installable (native bindings require build tools)
Prerequisite: WhatsApp must be installed first (skill/whatsapp merged). This skill modifies WhatsApp channel files.
Phase 2: Apply Code Changes
Ensure WhatsApp fork remote
git remote -v
If whatsapp is missing, add it:
git remote add whatsapp https://github.com/qwibitai/claudeclaw-whatsapp.git
Merge the skill branch
git fetch whatsapp skill/image-vision
git merge whatsapp/skill/image-vision || {
git checkout --theirs package-lock.json
git add package-lock.json
git merge --continue
}
This merges in:
src/image.ts(image download, resize via sharp, base64 encoding)src/image.test.ts(8 unit tests)- Image attachment handling in
src/channels/whatsapp.ts - Image passing to agent in
src/index.tsandsrc/orchestrator/container-runner.ts - Image content block support in
agent/runner/src/index.ts sharpnpm dependency inpackage.json
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
Validate code changes
npm install
npm run build
npx vitest run src/image.test.ts
All tests must pass and build must be clean before proceeding.
Phase 3: Configure
-
Rebuild the container (agent-runner changes need a rebuild):
./src/runtimes/docker/build.sh -
Sync agent-runner source to group caches:
for dir in data/sessions/*/agent-runner-src/; do cp agent/runner/src/*.ts "$dir" done
Service name: Derived from the directory name:
com.claudeclaw.<dirname>(macOS) /claudeclaw-<dirname>(Linux). For example, if cwd ismy-assistant, the service iscom.claudeclaw.my-assistant. Determine the correct service name before running service commands below.
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 · 97 lines · 34 tokens per session scan A 9e52b7852ebb
add-image-vision is a skill published in the GitHub repository sbusso/claudeclaw (192 stars, last pushed 27d ago), licensed MIT. It adds 34 tokens to every session and 779 once invoked, about $0.0002 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 2026-08-30.
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