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 agentmods add skills/daxaur/openpaw/c-screennpx skills add daxaur/openpaw --skill c-screengit clone --depth 1 https://github.com/daxaur/openpawWrote 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/daxaur/openpaw/c-screen)<a href="https://agentmods.dev/skills/daxaur/openpaw/c-screen"><img src="https://agentmods.dev/badge/skills/daxaur/openpaw/c-screen.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00390 |
| Opus 5 | $0.00017 | $0.00195 |
| Sonnet 5 | $0.00007 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
c-screen 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 5d 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
What This Skill Does
Enables Claude to take screenshots, extract text from the screen via OCR, and capture webcam images for visual analysis using peekaboo and camsnap.
Available CLI Tools
peekaboo — Screenshots & OCR
# Take a full screenshot and save to file
peekaboo screenshot --output ~/Desktop/screen.png
# Take screenshot and extract all text via OCR
peekaboo ocr
# OCR a specific region (x, y, width, height)
peekaboo ocr --region 0,0,1280,720
# Screenshot a specific window by app name
peekaboo screenshot --app "Safari" --output window.png
# Screenshot and pipe to stdout for immediate analysis
peekaboo screenshot --stdout
camsnap — Webcam Capture
# Capture a single webcam frame
camsnap --output ~/Desktop/photo.jpg
# Capture with a specific camera device
camsnap --device 0 --output shot.jpg
# Capture and print file path
camsnap --output /tmp/cam.jpg && echo "Saved"
Usage Guidelines
- Use
peekaboo ocrwhen the user wants text extracted from the screen - Use
camsnaponly when the user explicitly wants a webcam image - After capturing, read the image file to analyze its contents visually
Notes
- macOS screen recording permission required for
peekaboo - Camera permission required for
camsnap - OCR accuracy depends on font size and screen resolution
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.
- 5d ago First seen · 56 lines · 35 tokens per session scan A 191a5acbef84
c-screen is a skill published in the GitHub repository daxaur/openpaw (167 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 390 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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