cctv-door-cam

cctv-door-cam is a skill for Claude Code, Codex from BetterPromptme/skills. It costs 92 tokens per session (1,026 once invoked), scanned A, original, MIT.

A prompt for an AI video generator to create a short, realistic vertical security-camera clip at a suburban front door, with a chosen subject approaching and speaking.

In plain words
What is it for?
Use it to generate a front-door camera scene by supplying details about the person or animal approaching the camera.
Why use it?
It provides a ready-made scene description when you want this specific CCTV-style video setup without writing the prompt from scratch.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to generate a front-door camera scene by supplying details about the person or animal approaching the camera.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/betterpromptme/skills/cctv-door-cam
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 BetterPromptme/skills --skill cctv-door-cam
Clone the repo
git clone --depth 1 https://github.com/BetterPromptme/skills

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 cctv-door-cam

README.md
[![agentmods](https://agentmods.dev/badge/skills/betterpromptme/skills/cctv-door-cam/github.svg)](https://agentmods.dev/skills/betterpromptme/skills/cctv-door-cam)
Your own site
<a href="https://agentmods.dev/skills/betterpromptme/skills/cctv-door-cam"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/cctv-door-cam/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 cctv-door-cam

Your own site · 80×15
<a href="https://agentmods.dev/skills/betterpromptme/skills/cctv-door-cam"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/cctv-door-cam.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,026 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.
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 $0.00092 $0.01026
Opus 5.5 $0.00037 $0.00410
Sonnet 5.5 $0.00018 $0.00205
Haiku 4.5 $0.00009 $0.00103

Measured 2mo ago against content hash eec93aeca0e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cctv-door-cam 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 2mo 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.

skills/cctv-door-cam/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What it does

This prompt instructs an AI video generator to create a short, photorealistic vertical CCTV-style clip of a suburban front yard viewed from a fixed camera above a front door, with bright natural sunlight and subtle grain. A specified subject approaches along the pathway, stops beneath the camera, looks up, smiles, and says “Hello,” while realistic ambient outdoor sounds and a voice matched to the subject’s characteristics complete the scene.

For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Variable key Required? Description Defaults
subject Optional Describe who or what is approaching the camera — include appearance, clothing, or type of animal if applicable. An American young woman

Models and options

This skill's modality is: video.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "video".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "video" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

  • Optional text inputs (use defaults if not provided by the human):
    • subject (default: An American young woman)
  • Optional: model and options.
    • Present the human with the default model sora-2 and its available options. Look up sora-2 in the betterprompt resources output (filtered to modality "video") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"seconds":"4","size":"720x1280"}.
    • If the human does not specify, defaults are used: model sora-2, options {"seconds":"4","size":"720x1280"}. Other models from the resources call are also available.

Read the full file on GitHub · 104 lines

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. 2mo ago First seen · 104 lines · 92 tokens per session scan A eec93aeca0e2

Subscribe to this mod's changes

cctv-door-cam is a skill published in the GitHub repository BetterPromptme/skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 1,026 once invoked, about $0.0004 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 2026-09-03.

Related

cctv-door-cam compared with skills from other repositories

cctv-door-cam next to 6 skills from other repositories
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cctv-door-camBetterPromptme/skillsSkill53mo agoMITA92Claude Code, Codex
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
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