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-reviewSKILL.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
- Research & Analyze — Deep-dive into the problem domain. Create analysis docs, capture sources.
- Review Packet Generation — Prepare the context for the reviewer:
- Create Prompt: Write or update a
red-team-prompt.mdexplaining exactly what is being reviewed and what the reviewer should focus on. - Define Manifest: Update a
manifest.jsonor equivalent list dictating which source files and research artifacts to include. - Bundle Context: Execute the
context-bundlerplugin, 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.
- 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
- 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_tokensandduration_msused by the adversarial agent during this specific iteration into anevals/timing.jsonfile to calculate the true cost of approval.
- 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
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
- SKILL.md in the repositoryChecking.github/skills/red-team-review/SKILL.md
Popularity
- Repository stars
- 5
- Repository forks
- 1
- 7-day trend score
- 14
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
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