reel-check

reel-check is a skill for Claude Code from escoffier-labs/skillet. It costs 87 tokens per session (1,295 once invoked), scanned A, original, MIT.

A pre-publication check for rendered reels, screen recordings, demo videos, and GIFs. It inspects both the source text and the final video frames for identity or infrastructure details that should not be visible.

In plain words
What is it for?
Checking public video content before posting it to social media, YouTube, or a landing page, including captions, narration, title cards, and recorded screens.
Why use it?
A video can expose information through captions or through the captured screen, even when the source files look safe. Checking the rendered result catches leaks burned into the frames.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the skillet plugin — 39 skills, 1 hook shipped together

Good fit Checking public video content before posting it to social media, YouTube, or a landing page, including captions, narration, title cards, and recorded screens.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/escoffier-labs/skillet/reel-check
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 escoffier-labs/skillet --skill reel-check
Clone the repo
git clone --depth 1 https://github.com/escoffier-labs/skillet

Made for: Claude Code.

Or install skillet, the plugin that ships this one along with the rest of its 39 skills, 1 hook.

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 reel-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/escoffier-labs/skillet/reel-check/github.svg)](https://agentmods.dev/skills/escoffier-labs/skillet/reel-check)
Your own site
<a href="https://agentmods.dev/skills/escoffier-labs/skillet/reel-check"><img src="https://agentmods.dev/badge/skills/escoffier-labs/skillet/reel-check/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 reel-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/escoffier-labs/skillet/reel-check"><img src="https://agentmods.dev/badge/skills/escoffier-labs/skillet/reel-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00087 $0.01295
Opus 5 $0.00044 $0.00647
Sonnet 5 $0.00017 $0.00259
Haiku 4.5 $0.00009 $0.00129

Measured 11d ago against content hash ba9420defaeb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

reel-check scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Shell prompts** - `user@hostname` in the terminal prompt, the path in `pwd`, a private IP in an `ssh`/`curl` command.
skillet/skills/reel-check/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

reel-check

The video equivalent of plate: the last look before a reel leaves the kitchen. A reel leaks differently from prose, so it needs its own pass. plate scrubs a block of text you can read and edit. A reel is a rendered MP4 you cannot grep, built from two surfaces that each leak:

  1. The composition source - the text that gets burned into the frames.
  2. The recording footage - whatever the screen capture happened to show.

You scrub the source, re-render or re-record, then verify the actual frames. The MP4 is the source of truth for what viewers see; source files can diverge from what got drawn.

What to scan

1. Composition source (on-screen text)

The captions, titles, and labels viewers read come from source files, not the video. Scan each:

  • Cue / timeline JSON - captions[].text, titleCard.text, outroCard.text, any label fields.
  • Composition file - index.html / *.tsx text nodes, data-* titles, alt text.
  • Narration - SCRIPT.md, TTS input text, voiceover scripts (a leak spoken aloud is still a leak).
  • Brand sheet - DESIGN.md and any generated metadata that ships with the project.

Leak types are the same as plate: internal hostnames and machine names, private IPs (RFC 1918), LAN URLs / ports / dashboards, absolute home paths (/home/<user>, /Users/<name>), non-public personal emails, and AI-authorship disclosure. See plate for the full list, the doc-range replacements (RFC 5737 192.0.2.x), and the writing conventions (no em dashes). A cold agent will not know the user's machine names - ask, or flag any internal-looking host for confirmation.

2. Recording footage (incidental leaks)

A screen recording shows far more than the text you authored. This is the surface plate has no concept of, and it is the one most often missed. Eyeball the footage for:

  • Shell prompts - user@hostname in the terminal prompt, the path in pwd, a private IP in an ssh/curl command.
  • Browser chrome - the URL bar, an internal dashboard, a private IP, logged-in account name or avatar.
  • Notifications and chrome - toast popups, email/Slack/Discord previews with real names, the OS clock/menubar, other window titles.
  • Anything the cursor or a zoom cue emphasizes - emphasis draws the eye straight to whatever is under it. Make sure that is not a leak.

Read the full file on GitHub · 82 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 82 lines · 87 tokens per session scan A ba9420defaeb

Subscribe to this mod's changes

reel-check is a skill published in the GitHub repository escoffier-labs/skillet (4 stars, last pushed 10d ago), licensed MIT. It adds 87 tokens to every session and 1,295 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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