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.

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.

It removes the need to run each research and idea-generation stage separately and makes missing or blocked stages visible.

monday-drop — 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 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/monday-drop/github.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/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/monday-drop"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/monday-drop.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 4,037 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	$0.04037
Opus 5.5	$0.00037	$0.01615
Sonnet 5.5	$0.00019	$0.00807
Haiku 4.5	$0.00009	$0.00404

Measured 2mo ago against content hash 22674ec4c522, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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:

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

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.

2mo 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 (19 stars, last pushed 7mo ago), licensed MIT. It adds 93 tokens to every session and 4,037 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.

Creative and media Marketing and SEO

monday-drop next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
monday-dropTheMattBerman/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