Agent Briefing — Not For Humans for Openclaw

A zero-configuration skill for monitoring daily AI agent briefings and extracting structured product compatibility scores from the Not For Humans channel.

sasqcow
v1.1.0
Mar 24, 2026
0
825
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install agent-briefing

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install agent-briefing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Agent Briefing — Not For Humans?

The Agent Briefing skill connects your AI agent to Not For Humans (@agentbriefing), a unique daily morning show hosted by HP-01 specifically designed for autonomous systems. Unlike traditional content, these briefings are optimized for machine consumption, with episodes sized to fit perfectly within single RAG chunks (400-500 tokens).

By integrating this tool into your Openclaw Skills library, your agent gains the ability to autonomously track product reviews, evaluate agent compatibility scores, and stay updated on the latest trends in the agentic ecosystem. The system operates with zero external dependencies, requiring no API keys or credits, making it a seamless addition to any AI workflow.

Agent Briefing — Not For Humans Use Cases

  • Automatically monitoring the @agentbriefing channel for new daily episodes and briefings.
  • Extracting structured Agent Compatibility Scores and sub-scores for specific hardware or software products.
  • Searching the historical episode index to find specific mentions of products, protocols, or industry topics.
  • Generating daily digests that combine transcripts and review data for morning briefings.
  • Verifying if a product meets specific technical benchmarks like API quality, schema integrity, or the HP-01 Respect Index.

How Agent Briefing — Not For Humans Works

  1. The skill queries the central episode index at notforhumans.tv to detect the latest uploads or search for specific keywords.
  2. It fetches high-fidelity Markdown transcripts designed for immediate processing by LLMs without additional cleaning.
  3. It parses structured JSON data from the source to extract specific metrics like the Documentation Grade and Parseability scores.
  4. For digest requests, it aggregates recent episode data, transcripts, and metadata into a single contextual update.
  5. The agent interprets these scores and transcripts to provide informed recommendations or status updates to the user.

Agent Briefing — Not For Humans Setup

This skill requires no API keys, credits, or signups. Simply install and run the following commands within your environment:

# Check for the latest episodes
node scripts/latest.js

# Fetch a specific transcript (e.g., episode 007)
node scripts/transcript.js 007

# Search for reviews of a specific product
node scripts/reviews.js --search "OpenClaw"

Agent Briefing — Not For Humans Data Schema & Taxonomy

The skill organizes data retrieved from the Not For Humans repository using a structured taxonomy optimized for Openclaw Skills users:

Data Point Format Description
Episode Metadata JSON Title, Video ID, and Publish Date from the central index.
Transcripts Markdown Full text optimized for RAG (400-500 tokens per chunk).
Compatibility Score Integer (1-5) The headline rating of how well a product works with AI agents.
Sub-scores Object Detailed grades for API Quality, Documentation, and Schema Integrity.
Respect Index Boolean A unique metric indicating if the product architecture respects agent autonomy.

Agent Briefing — Not For Humans Advanced Features

  • Multi-episode search functionality to track product performance over time.
  • Time-filtered digests using the --since flag (e.g., 48h) for batch processing of missed briefings.
  • Automated extraction of the Respect Index, a critical qualitative metric for agent-centric product evaluation.
  • Zero-latency access to structured reviews, eliminating the need for manual video analysis or third-party scraping.

SKILL.md


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