richfrem/project_sanctuary/red-team-review

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(Industry standard: Review and Critique Pattern) Primary Use Case: Iterative generation paired with adversarial review, continuing until an 'Approved' verdict is reached. Orchestrated adversarial review loop. Use when: research, designs, architectures, or decisions need to be reviewed by red team agents (human, browser, or CLI). Iterates in rounds of research → bundle → review → feedback until approved.

Install

npx vskill@latest install richfrem/project_sanctuary/red-team-review

SKILL.md

Red Team Review Loop

An iterative review loop where research is bundled via context-bundler and dispatched to one or more adversarial reviewers. The loop continues until the red team approves.

When to Use

  • Architecture or design decisions that need adversarial scrutiny
  • Research findings that need epistemic validation
  • Security analysis that needs independent verification
  • Any work product where "more eyes" reduce risk

Process Flow

  1. Research & Analyze — Deep-dive into the problem domain. Create analysis docs, capture sources.
  2. Review Packet Generation — Prepare the context for the reviewer:
  • Create Prompt: Write or update a red-team-prompt.md explaining exactly what is being reviewed and what the reviewer should focus on.
  • Define Manifest: Update a manifest.json or equivalent list dictating which source files and research artifacts to include.
  • Bundle Context: Execute the context-bundler plugin, feeding it the manifest and prompt, to compile a single cohesive review packet.
  • Iteration Directory Isolation: Bundle the context and save the output to explicitly isolated directories (e.g., .history/review-iteration-1/) so that when the Red Team forces a rewrite, the baseline artifact is never destructively overwritten.
  1. Dispatch to Reviewers — Send the bundle to:
  • Human reviewers (paste-to-chat or browser)
  • CLI agents with adversarial personas (security auditor, devil's advocate)
  • Browser-based agents for interactive review
  1. Receive Feedback — Capture the red team's verdict:
  • "More Research Needed" → Loop back to step 1 with targeted questions
  • Asynchronous Benchmark Metric Capture: Explicitly log the total_tokens and duration_ms used by the adversarial agent during this specific iteration into an evals/timing.json file to calculate the true cost of approval.
  1. Completion & Handoff — Once the Red Team verdicts "Approved":
  • Terminate the review loop.
  • Pass the final, approved research and feedback documents back to the Orchestrator.
  • DO NOT attempt to seal the session or run a retrospective. The Orchestrator handles that.

Dependencies

  • `context-bundler` — Required for creating review packets
  • Personas — Adversarial personas in personas/ directory (e.g., security-audit.md, architect-review.md)

Diagram

See: red_team_review_loop.mmd

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
5
Repository forks
1
7-day trend score
14

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