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/monday-dropnpx skills add TheMattBerman/openclaw-100k-posts-kit --skill monday-dropgit 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/monday-drop)<a href="https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/monday-drop"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/monday-drop.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 | $0.04037 |
| Opus 5 | $0.00046 | $0.02018 |
| Sonnet 5 | $0.00019 | $0.00807 |
| Haiku 4.5 | $0.00009 | $0.00404 |
Grade A, and why
monday-drop 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 6d 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 — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monday Drop
The full pipeline in one command. Virlo finds what's performing. Content Radar fuses it with community discussion. The Forge turns it into ready-to-post concepts. You get a weekly content pack delivered to Telegram.
When to use:
- Weekly content planning (every Monday morning via cron, or on-demand)
- "What should I post this week?"
- Need 5-10 content concepts fast, grounded in real performance data
How to Run
On-demand (conversational)
Just say: "run the monday drop" or "give me this week's content" or "run the pipeline"
I will:
- Pull your Virlo comet data (what's performing)
- Build the niche briefing with Content Radar
- Run Content DNA Batch on the real fetched videos
- Run The Forge on the resulting pattern report
- Deliver a structured pack of concepts
If you ask for the actual/full/real Monday Drop, do not improvise or synthesize around missing stages. Run the sequence for real and clearly report any blocked or incomplete stage instead of filling the gap with made-up output.
Manual (shell)
bash ~/clawd/skills/scripts/monday-drop.sh --delivery none
With delivery to Telegram
bash ~/clawd/skills/scripts/monday-drop.sh --delivery telegram
Cron (automatic — every Monday 8AM CT)
Already configured. Check with:
openclaw cron list
What You Get Back
A Monday Drop Pack containing:
-
Niche Briefing Summary — top 5 performing videos + 3 breakout creators from Virlo, top community discussion themes from Reddit/X
-
Content DNA Breakdowns — per outlier video, a 7-dimension analysis:
- Topic, Angle, Hook Structure, Story Structure, Visual Format, Key Visuals, Audio
- Direct video URL for each outlier
- Visual-first flags for videos that need manual 30-sec review
-
The Forge Output — 5-10 content concepts, each with:
- Hook (scroll-stopping opening)
- Puppet String (which human drive it targets)
- Content DNA (7-dimension breakdown of the concept itself)
- Care To Click arc (what each section accomplishes)
- Platform fit + format recommendation
- Source URL (direct link to inspiration)
- Visual-first flag if applicable
- Length guide
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.
- 6d ago First seen · 384 lines · 93 tokens per session scan A 22674ec4c522
monday-drop 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 4,037 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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