camsnap

camsnap is a skill for Claude Code, Codex from elizaOS/eliza. It costs 84 tokens per session (354 once invoked), scanned A, original, MIT.

A command-line tool for taking snapshots, recording clips, and watching motion events from IP cameras and video streams. It supports cameras using RTSP or ONVIF, common network-camera standards.

In plain words
What is it for?
Use it to discover compatible cameras, save a still image, record a short video, or run a motion watch with a chosen action.
Why use it?
It avoids manually opening camera software or handling video streams by hand. It also helps check whether cameras are reachable and capture only the footage needed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to discover compatible cameras, save a still image, record a short video, or run a motion watch with a chosen action.

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Install with agentmods
npx agentmods add skills/elizaos/eliza/camsnap
About the project

elizaOS is an open-source TypeScript framework and product stack for building and running autonomous AI agents. Developers use its runtime, application, command-line tool, cloud services, native bridges, and plugins to create agent-based software. The catalogue entries provide skills, commands, instructions, and rules for working with this monorepo and its agent ecosystem.

elizaOS/eliza · 19,313 stars · on GitHub · elizaresearch.ai

Install

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.

Any agent
npx skills add elizaOS/eliza --skill camsnap
Clone the repo
git clone --depth 1 https://github.com/elizaOS/eliza

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for camsnap

README.md
[![agentmods](https://agentmods.dev/badge/skills/elizaos/eliza/camsnap/github.svg)](https://agentmods.dev/skills/elizaos/eliza/camsnap)
Your own site
<a href="https://agentmods.dev/skills/elizaos/eliza/camsnap"><img src="https://agentmods.dev/badge/skills/elizaos/eliza/camsnap/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.

agentmods 80×15 button for camsnap

Your own site · 80×15
<a href="https://agentmods.dev/skills/elizaos/eliza/camsnap"><img src="https://agentmods.dev/badge/skills/elizaos/eliza/camsnap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 354 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.00354
Opus 5 $0.00042 $0.00177
Sonnet 5 $0.00017 $0.00071
Haiku 4.5 $0.00008 $0.00035

Measured 11d ago against content hash 8d066f904e00, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

camsnap 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 11d 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

  • camsnap — 88% identical, 26 lines differ
  • camsnap — 86% identical, 4 lines differ
  • camsnap — 86% identical, 4 lines differ
  • camsnap — 86% identical, 4 lines differ
  • camsnap — 86% identical, 4 lines differ
  • camsnap — 86% identical, 4 lines differ
  • camsnap — 86% identical, 4 lines differ
  • camsnap — 86% identical, 4 lines differ
packages/skills/skills/camsnap/SKILL.md · 46 lines

What it actually says

camsnap

Use camsnap to grab snapshots, clips, or motion events from configured cameras.

Setup

  • Config file: ~/.config/camsnap/config.yaml
  • Add camera: camsnap add --name kitchen --host 192.168.0.10 --user user --pass pass

Common commands

  • Discover: camsnap discover --info
  • Snapshot: camsnap snap kitchen --out shot.jpg
  • Clip: camsnap clip kitchen --dur 5s --out clip.mp4
  • Motion watch: camsnap watch kitchen --threshold 0.2 --action '...'
  • Doctor: camsnap doctor --probe

Notes

  • Requires ffmpeg on PATH.
  • Prefer a short test capture before longer clips.
Changes

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.

  1. 11d ago First seen · 46 lines · 84 tokens per session scan A 8d066f904e00

Subscribe to this mod's changes

camsnap is a skill published in the GitHub repository elizaOS/eliza (19,313 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 354 once invoked, about $0.0004 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.