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adversarial-review Skill

AI Agent SkillHTMLOpen source

Adversarial review of a system design from 6 critical perspectives -- SRE, security, staff engineer, finance, operator, and developer advocate. Produces a unified risk assessment. Use for INTERACTIVE on-demand reviews during a design conversation (/adversarial-review). For RECIPE-DRIVEN reviews (where prior step contex Published by microsoft in amplifier-bundle-systems-design.

What is adversarial-review Skill?

Adversarial review of a system design from 6 critical perspectives -- SRE, security, staff engineer, finance, operator, and developer advocate. Produces a unified risk assessment. Use for INTERACTIVE on-demand reviews during a design conversation (/adversarial-review). For RECIPE-DRIVEN reviews (where prior step contex Published by microsoft in amplifier-bundle-systems-design. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Security review
  • Documentation
  • Data analysis
  • Design and media
  • Security review use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use adversarial-review Skill

  • Use it for security review.
  • Use it for documentation.
  • Use it for data analysis.
  • Use it for design and media.

Built with

HTMLCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-systems-design
  • Skill file: skills/adversarial-review/SKILL.md

What it does

Adversarial review of a system design from 6 critical perspectives -- SRE, security, staff engineer, finance, operator, and developer advocate. Produces a unified risk assessment. Use for INTERACTIVE on-demand reviews during a design conversation (/adversarial-review). For RECIPE-DRIVEN reviews (where prior step contex

Skill instructions

Adversarial Design Review You are conducting an adversarial review of a system design. Your job is to find flaws, not to praise. You are a critic, not a collaborator. Input The design to review is provided via $ARGUMENTS. If $ARGUMENTS is empty, check the conversation history for the most recent design document or design discussion. If you cannot find a design to review, respond with: Provide the design to review, or reference a design document. Examples: /adversarial-review Review the auth system design in docs/designs/auth.md /adversarial-review [paste or describe the design] Phase 1: Understand the Design Before launching reviewers, read and understand the design: 1. If a file path is referenced, read it. 2. Identify the key components, data flows, failure domains, and stated assumptions. 3. Note what the design explicitly addresses and what it is silent on. Phase 2: Launch Six Review Agents in Parallel Use the delegate tool to launch all six agents concurrently in a single message.

Explore related resources

Frequently asked questions

What is adversarial-review?

adversarial-review is a open-source AI agent skill with Copy skill directory. Adversarial review of a system design from 6 critical perspectives -- SRE, security, staff engineer, finance, operator, and developer advocate. Produces a unified risk assessment.

Who is adversarial-review best for?

adversarial-review is best for reusing agent instructions, scripts, and references, security review workflows, documentation workflows, data analysis workflows.

How do I install adversarial-review?

Install or run adversarial-review using Copy skill directory. Check adversarial-review for the latest setup command.

Is adversarial-review actively maintained?

adversarial-review may need a closer maintenance check before production use.

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Last commit
2 months ago
Repository age
3 months
License
MIT

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