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launch-filter

Score agent-launch announcements with a 5-question model and Go/Wait/Skip verdict.

4|1|Updated Apr 11, 2026
Search Tags:#evaluation#risk-assessment#verdict#agent-launch#launch-filter#go-wait-skip
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill launch-filter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: launch-filter
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/launch-filter
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill launch-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the evaluation of new agent launches by converting announcements into structured verdicts and go/wait/skip recommendations.

Core Features & Use Cases

  • Five-question filter mechanism that scores tool integration, openness, data access, ecosystem, and stackability.
  • Produces a deterministic total score (0–10) and a clear Go/Wait/Skip recommendation.
  • Use cases include evaluating vendor releases, platform announcements, and release notes for decision-making across teams.

Quick Start

Paste an announcement or URL and run the /launch-filter command to receive a verdict and score.

Frequently Asked Questions about launch-filter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate an agent-launch announcement for a go or skip decision?▼

Evaluating an agent-launch announcement requires a structured assessment of tool integration, openness, data access, ecosystem, and stackability to produce a deterministic score and a final go, wait, or skip verdict.

What is a structured scoring model for assessing new agent releases?▼

A structured scoring model for new agent releases applies a deterministic five-question filter, allocating 0 to 2 points per question, to generate a total score from 0 to 10 for clear decision-making.

Can I use a deterministic filter for evaluating vendor platform release notes?▼

Yes, you can apply a deterministic launch filter to vendor releases, platform announcements, and release notes to consistently score and evaluate agent launches across different teams.

What's the best way to convert a platform announcement into an actionable recommendation?▼

The best way to convert a platform announcement into an actionable recommendation is to score it against five criteria—tool integration, openness, data access, ecosystem, and stackability—to output a go, wait, or skip verdict.

Does the launch-filter scoring mechanism support automated risk assessment for agent integrations?▼

The launch-filter mechanism supports automated risk assessment by enforcing a deterministic five-question evaluation that scores integration risks and outputs a structured go, wait, or skip recommendation.

When should I not use a deterministic scoring model for agent-launch evaluation?▼

You should not use a deterministic scoring model when an agent-launch requires highly nuanced, context-specific evaluation criteria that fall outside the standard five-question filter of tool integration, openness, data access, ecosystem, and stackability.

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