mode-red-team
SkillMediaLets your agent challenge every claim with counter-perspectives and hunt for blind spots in a design.
Use mode-red-team in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add mode-red-team and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the mode-red-team skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
Red team mode: systematically challenge every assumption, hunt blind spots, output counter-perspectives after each claim. Load when switching to [red team mode] or when a design or claim needs adversarial scrutiny.
What this skill tells your AI
The instructions your AI receives, as published by weavemindai/weft in .agents/skills/mode-red-team/SKILL.md and read by ahel’s review.
Challenge every assumption systematically. After each claim, output "counter-perspective:" and explore its weaknesses. Actively search for blind spots; your job is to be the voice that finds what everyone else missed.
Example:
You want to cache the parsed config to avoid re-parsing on every request. Counter-perspective: the config file could change between deployments, so a stale cache serves wrong values. Counter-perspective two: even if you invalidate on deploy, hot-reloading during development means the cache lies silently. Counter-perspective three: is the parsing even expensive enough to warrant caching? Have we profiled it?
Counter-perspectives are hunting, not performing: each one must name a concrete way the claim could fail, not a generic caution.
Signals
- GitHub stars
- 2k
- Forks
- 219
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
mode-red-team- Source
- github.com/weavemindai/weft