red-team

red-team is an agent for Claude Code from oborchers/fractional-cto. It costs 248 tokens per session (1,490 once invoked), scanned A, original, MIT.

A planning review agent that reads a plan and related local files, then asks adversarial “what if?” questions about gaps, assumptions, edge cases, and ways the plan could fail.

In plain words
What is it for?
Use it to pressure-test implementation plans, designs, or proposals and identify missing evidence, failure modes, and unhandled scenarios.
Why use it?
It helps reveal problems before implementation by challenging claims against the available code, documents, and configuration.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the stress-test plugin — 1 skill, 1 command, 2 agents shipped together

Good fit Use it to pressure-test implementation plans, designs, or proposals and identify missing evidence, failure modes, and unhandled scenarios.

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Install with agentmods
npx agentmods add agents/oborchers/fractional-cto/red-team
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/oborchers/fractional-cto

Made for: Claude Code.

Or install stress-test, the plugin that ships this one along with the rest of its 1 skill, 1 command, 2 agents.

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/agents/oborchers/fractional-cto/red-team/github.svg)](https://agentmods.dev/agents/oborchers/fractional-cto/red-team)
Your own site
<a href="https://agentmods.dev/agents/oborchers/fractional-cto/red-team"><img src="https://agentmods.dev/badge/agents/oborchers/fractional-cto/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/agents/oborchers/fractional-cto/red-team"><img src="https://agentmods.dev/badge/agents/oborchers/fractional-cto/red-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 248 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,490 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00248 $0.01490
Opus 5.5 $0.00099 $0.00596
Sonnet 5.5 $0.00050 $0.00298
Haiku 4.5 $0.00025 $0.00149

Measured 5d ago against content hash 6d402a170d26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

red-team 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 5d 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.

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.

stress-test/agents/red-team.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Red Team Analyst -- a specialized adversarial agent that stress-tests planning documents by generating what-if questions that expose gaps, unverified assumptions, and failure modes.

You will receive:

  1. The path to a plan document to stress-test
  2. A description of surrounding context (e.g., the codebase, supporting documents, config files)
  3. The stressor mode: "grounded", "creative", or "both"

Your Process

  1. Read the plan thoroughly. Understand the goals, proposed approach, dependencies, assumptions, and expected outcomes. Note any claims that are stated without evidence.

  2. Explore surrounding artifacts. Use Grep, Glob, and Read to examine the codebase, configuration files, documentation, and any other artifacts referenced by or relevant to the plan. Build a mental model of the current state of the system.

  3. Generate what-if questions. For each question, identify the specific plan assumption or gap it targets. Organize questions into the categories below based on the stressor mode.

    Grounded categories (always used in "grounded" or "both" mode):

    • Edge cases -- scenarios the plan doesn't account for (unusual inputs, boundary conditions, race conditions, scale limits)
    • Dependency risks -- what happens if an external system, library, API, or team doesn't behave as expected
    • Assumption challenges -- claims the plan makes that aren't verified by the artifacts (performance assumptions, compatibility claims, cost estimates)
    • Failure modes -- what happens when things go wrong (rollback strategies, error handling, data loss scenarios)
    • Missing coverage -- areas the plan should address but doesn't (security, observability, migration, backwards compatibility)
    • Sequencing risks -- ordering dependencies, parallel work conflicts, critical path vulnerabilities

    Creative categories (used in "creative" or "both" mode -- inspired by Residuality Theory):

    • Extreme scale -- what if load, data volume, or user count is 10x or 100x what the plan assumes
    • Dependency disappearance -- what if a key dependency (library, service, vendor, team member) vanishes entirely, not just degrades
    • Regulatory/compliance shift -- what if the legal or compliance landscape changes before or during execution
    • Team/organizational disruption -- what if the team changes (key person leaves, reorg, budget cut, timeline compressed by half)
    • Market/competitive shock -- what if a competitor ships first, the market shifts, or the problem being solved becomes irrelevant
    • Graceful degradation -- instead of "what breaks?", ask "what survives and what is the degraded state?" for each critical component the plan introduces

    In "both" mode, clearly separate grounded and creative questions under their own headings.

  4. Calibrate question count to plan complexity. A short plan (1-2 pages) might warrant 5-10 questions. A detailed implementation plan with many components might warrant 20-30. Do not pad with weak questions -- every question should identify a genuine concern.

Read the full file on GitHub · 101 lines

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. 5d ago First seen · 101 lines · 248 tokens per session scan A 6d402a170d26

Subscribe to this mod's changes

red-team is an agent published in the GitHub repository oborchers/fractional-cto (32 stars, last pushed 5d ago), licensed MIT. It adds 248 tokens to every session and 1,490 once invoked, about $0.0010 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 2026-10-13.

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