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/themattberman/openclaw-100k-posts-kit/content-dnanpx skills add TheMattBerman/openclaw-100k-posts-kit --skill content-dnagit clone --depth 1 https://github.com/TheMattBerman/openclaw-100k-posts-kitWrote 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/themattberman/openclaw-100k-posts-kit/content-dna)<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="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 5.1 | $0.00093 | $0.00960 |
| Opus 5 | $0.00046 | $0.00480 |
| Sonnet 5 | $0.00019 | $0.00192 |
| Haiku 4.5 | $0.00009 | $0.00096 |
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 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.
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/
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.
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 · 108 lines · 93 tokens per session scan A 3add260a3203
content-dna is a skill published in the GitHub repository TheMattBerman/openclaw-100k-posts-kit (20 stars, last pushed 5mo ago), licensed MIT. It adds 93 tokens to every session and 960 once invoked, about $0.0005 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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