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 skills add TheMattBerman/openclaw-100k-posts-kit --skill content-dna-batchgit 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-batch)<a href="https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/content-dna-batch"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/content-dna-batch/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.
<a href="https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/content-dna-batch"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/content-dna-batch.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00079 | $0.00764 |
| Opus 5.5 | $0.00032 | $0.00306 |
| Sonnet 5.5 | $0.00016 | $0.00153 |
| Haiku 4.5 | $0.00008 | $0.00076 |
Grade A, and why
content-dna-batch 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content DNA Batch
Runs Content DNA on a batch of videos, then aggregates everything into a Pattern Report — what formats dominate, which bricks appear repeatedly, and the highest-portability adapted concepts for your niche.
This is what feeds The Forge in the Monday Drop pipeline.
Usage
From a Virlo comet (Monday Drop standard)
bash ~/clawd/skills/content-dna-batch/scripts/content-dna-batch.sh \
--comet YOUR_COMET_ID \
--niche "AI marketing"
From a URL list file
bash ~/clawd/skills/content-dna-batch/scripts/content-dna-batch.sh \
--urls /tmp/my-videos.json \
--niche "AI marketing"
What It Does
- Fetches video list from Virlo (5 top outliers + 5 top performers) or from a URL list
- Runs content-dna on all videos in parallel (4 concurrent by default)
- Caches results by date — re-runs skip already-analyzed videos
- Aggregates into Pattern Report:
- Dominant formats across the batch
- Dominant engagement types (debate, utility, inspiration, etc.)
- Top portable bricks ranked by count × avg views
- All adapted concepts consolidated
- Run summary with attempted / succeeded / failed counts
If a few analyses fail, the batch still writes a degraded report and records the failed inputs. If the success rate drops below the configured threshold, it writes the report and exits non-zero so upstream automation can stop before Forge.
Output
JSON: ~/clawd/workspace/content-dna-batch/reports/pattern-report-YYYY-MM-DD.json
Markdown: ~/clawd/workspace/content-dna-batch/reports/pattern-report-YYYY-MM-DD.md
The Forge reads the Pattern Report markdown to generate 10 ready-to-post concepts.
Pipeline Position
virlo (discovery)
↓
content-dna-batch (analysis) ← YOU ARE HERE
↓
the-forge (production → 10 concepts)
↓
monday-drop (delivery)
Options
| Flag | Default | Description |
|---|---|---|
--comet ID |
— | Virlo comet ID |
--urls FILE |
— | JSON file with video list |
--niche TEXT |
AI marketing | Your content niche |
--outliers N |
5 | Outlier videos from Virlo |
--top N |
5 | Top performer videos from Virlo |
--parallel N |
4 | Concurrent DNA jobs |
--min-success-rate F |
0.7 | Minimum success ratio before exiting non-zero after report generation |
--no-adapt |
— | Skip adapted concept generation |
What ships with it
1 file 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.
- 2mo ago First seen · 86 lines · 79 tokens per session scan A 9b6f40969ac4
content-dna-batch is a skill published in the GitHub repository TheMattBerman/openclaw-100k-posts-kit (19 stars, last pushed 7mo ago), licensed MIT. It adds 79 tokens to every session and 764 once invoked, about $0.0003 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.
content-dna-batch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-dna-batchTheMattBerman/openclaw-100k-posts-kit | Skill | 19 | 7mo ago | MIT | A | 79 | 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 |