red-team

red-team is a command for Claude Code from mohitagw15856/pm-claude-skills. It costs 23 tokens per session (169 once invoked), scanned B, original, MIT.

A hostile review of a plan, strategy, product requirements document, or launch proposal by several expert viewpoints. It looks for ways the proposal could fail before work is committed.

In plain words
What is it for?
Stress-testing plans with financial, customer, engineering, competitor, legal, security, and data-focused perspectives; writing a future failure review; and prioritising specific improvements.
Why use it?
It exposes risks and assumptions that are easy to miss when you are too close to the plan, then ranks the most serious problems by likelihood and impact.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Stress-testing plans with financial, customer, engineering, competitor, legal, security, and data-focused perspectives; writing a future failure review; and prioritising specific improvements.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/mohitagw15856/pm-claude-skills/red-team
About the project

PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.

mohitagw15856/pm-claude-skills · 1,352 stars · on GitHub · mohitagw15856.github.io

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.

Clone the repo
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills

Made for: Claude Code.

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 red-team

README.md
[![agentmods](https://agentmods.dev/badge/commands/mohitagw15856/pm-claude-skills/red-team/github.svg)](https://agentmods.dev/commands/mohitagw15856/pm-claude-skills/red-team)
Your own site
<a href="https://agentmods.dev/commands/mohitagw15856/pm-claude-skills/red-team"><img src="https://agentmods.dev/badge/commands/mohitagw15856/pm-claude-skills/red-team/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.

agentmods 80×15 button for red-team

Your own site · 80×15
<a href="https://agentmods.dev/commands/mohitagw15856/pm-claude-skills/red-team"><img src="https://agentmods.dev/badge/commands/mohitagw15856/pm-claude-skills/red-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 169 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00169
Opus 5 $0.00012 $0.00084
Sonnet 5 $0.00005 $0.00034
Haiku 4.5 $0.00002 $0.00017

Measured 12d ago against content hash de8365b6a924, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

red-team scanned grade B with 1 finding 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 12d ago.

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.

Tells the agent never to refusemediumAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

Channel a room of hostile-but-fair expert personas (skeptical CFO, churned customer, staff engineer, competitor, legal/security, the data realist) — each finding a distinct failure mode the author is too close to see. Th

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

commands/red-team.md · 9 lines

What it actually says

Apply the red-team-review skill to pressure-test: $ARGUMENTS

Channel a room of hostile-but-fair expert personas (skeptical CFO, churned customer, staff engineer, competitor, legal/security, the data realist) — each finding a distinct failure mode the author is too close to see. Then rank the most dangerous blind spots by likelihood × impact, write a 12-months-later pre-mortem, and end with the specific, prioritised changes that would most strengthen the plan. Don't just criticise — make it bulletproof. Infer missing detail and label assumptions; never refuse for lack of detail.

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. 12d ago First seen · 9 lines · 23 tokens per session scan B de8365b6a924

Subscribe to this mod's changes

red-team is a command published in the GitHub repository mohitagw15856/pm-claude-skills (1,352 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 169 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.