A video-analysis skill that breaks down a TikTok or Instagram video into seven parts, including its topic, opening, story, visuals, and audio.

Use it to analyse a video link and, when requested, create adapted ideas for a chosen niche and writing voice.

It explains which reusable elements may have helped a video work, so you can adapt the underlying structure without copying the original video.

content-dna — Skill for Claude Code and Codex by TheMattBerman

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 TheMattBerman/openclaw-100k-posts-kit --skill content-dna

Clone the repo

git clone --depth 1 https://github.com/TheMattBerman/openclaw-100k-posts-kit

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/content-dna/github.svg)](https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/content-dna)

Your own site

<a href="https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/content-dna"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/content-dna/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/content-dna"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/content-dna.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 960 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.

Model	Per session	Once invoked
Fable 5.1	$0.00093	$0.00960
Opus 5.5	$0.00037	$0.00384
Sonnet 5.5	$0.00019	$0.00192
Haiku 4.5	$0.00009	$0.00096

Measured 2mo ago against content hash 3add260a3203, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-dna 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze.py, scripts/content-dna.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/content-dna/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content DNA

Reverse-engineer what made a video work. Seven dimensions, structured output, portable bricks you can adapt.

Usage

Single video

/content-dna https://www.tiktok.com/@creator/video/123

With adaptation for your niche

/content-dna https://www.tiktok.com/@creator/video/123 --adapt --niche "AI marketing"

With explicit voice choice

/content-dna https://www.tiktok.com/@creator/video/123 --adapt --niche "pet brand" --voice-mode analysis
/content-dna https://www.tiktok.com/@creator/video/123 --adapt --niche "pet brand" --voice-mode personal
/content-dna https://www.tiktok.com/@creator/video/123 --adapt --niche "pet brand" --brand /path/to/client-voice.md --voice-mode brand

Shell

bash ~/clawd/skills/content-dna/scripts/content-dna.sh \
  --url "VIDEO_URL" \
  --adapt \
  --niche "AI marketing"

What You Get

7 Dimensions:

Topic — what the video is about at a high level
Angle — the specific take that makes it unique
Hook Structure — visual hook + text on screen + spoken opening line
Story Structure — beat-by-beat narrative
Visual Format — talking head / split-screen / green screen / etc
Key Visuals — the specific shots that carry the idea
Audio — VO style, pacing, music, sound design

Performance Layer:

Primary driver + secondary driver
Engagement type: debate / utility / inspiration / entertainment / FOMO
Why comments were high

Strategic Readouts:

Brick name
Brick definition
One-paragraph explanation of why it worked
Plain-English takeaway: Use this when...

Portable Bricks:

The reusable mechanical elements (rated high/medium/low portability)
Why each transfers to other niches

Adapted Concepts (with --adapt):

3 ready-to-brief concepts for your niche
Each uses a different portable brick
Written in the selected output voice
Keep source niche and output voice separate when needed

How It Works

ScrapeCreators fetches video metadata + transcript (if available)
Cover image + metadata sent to Gemini Flash 3 via OpenRouter
Gemini returns structured JSON with the 7-dimension breakdown + performance layer + brick analysis + adapted concepts
The script prints a human-readable markdown-style breakdown for chat use and saves the enriched JSON to ~/clawd/workspace/content-dna/outputs/

Read the full file on GitHub · 108 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.

2mo ago First seen · 108 lines · 93 tokens per session scan A 3add260a3203

Subscribe to this mod's changes

content-dna is a skill published in the GitHub repository TheMattBerman/openclaw-100k-posts-kit (19 stars, last pushed 7mo ago), licensed MIT. It adds 93 tokens to every session and 960 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 2026-08-30.

Analytics and metrics Creative and media

content-dna next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
content-dnaTheMattBerman/openclaw-100k-posts-kit	Skill	19	7mo ago	MIT	A	93	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code