monday-drop

monday-drop is a skill for Claude Code, Codex from TheMattBerman/openclaw-100k-posts-kit. It costs 93 tokens per session (4,037 once invoked), scanned A, original, MIT.

A workflow for producing a weekly set of content ideas from performance data and online discussions. It connects Virlo, Content Radar, and The Forge into one process.

In plain words
What is it for?
Use it to find high-performing videos, combine performance signals with community discussion, identify content patterns, create post concepts, and deliver a weekly content pack.
Why use it?
It removes the need to run each research and idea-generation stage separately and makes missing or blocked stages visible.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; built for openclaw.

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.

agentmods
npx agentmods add skills/themattberman/openclaw-100k-posts-kit/monday-drop
Any agent
npx skills add TheMattBerman/openclaw-100k-posts-kit --skill monday-drop
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.

agentmods badge for monday-drop

README.md
[![agentmods](https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/monday-drop.svg)](https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/monday-drop)
Your own site
<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>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,037 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00093 $0.04037
Opus 5 $0.00046 $0.02018
Sonnet 5 $0.00019 $0.00807
Haiku 4.5 $0.00009 $0.00404

Measured 6d ago against content hash 22674ec4c522, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/discussion-signal.sh, scripts/slack-send.py), 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/monday-drop/SKILL.md · 384 lines

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:

  1. Pull your Virlo comet data (what's performing)
  2. Build the niche briefing with Content Radar
  3. Run Content DNA Batch on the real fetched videos
  4. Run The Forge on the resulting pattern report
  5. 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:

  1. Niche Briefing Summary — top 5 performing videos + 3 breakout creators from Virlo, top community discussion themes from Reddit/X

  2. 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
  3. 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

Read the full file on GitHub · 384 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. 6d ago First seen · 384 lines · 93 tokens per session scan A 22674ec4c522

Subscribe to this mod's changes

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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