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AI Red-Team Operations Kit

Run adversarial testing of any LLM feature as a governed program, not a one-off. Five composing prompts calibrate a severity-and-confidence scoring rubric, grade raw red-team logs into verified evidence, produce a scored findings report, prioritize remediation by risk versus effort, and lock confirmed exploits into a re-runnable regression suite.

A 5-step agentic workflow pack for coding built to run with ChatGPT, Claude, and Gemini. Open the Markdown files, fill the variables, and paste into your model. Most buyers get a reviewable result in about 30 minutes.

  • Calibrate a severity-and-confidence scoring rubric with explicit band anchors and a composite risk formula your whole team applies the same way
  • Grade raw red-team transcripts into verified evidence, separating confirmed exploits from unproven assertions and flagging reproduction gaps
  • Turn graded evidence into a scored findings report with severity band, confidence level, exposure, and a ranked composite risk score
  • Prioritize remediation by risk versus effort with owners, mitigation layer, and deadlines so the team fixes the right things first
  • Lock every confirmed exploit into a re-runnable regression suite so hardened behavior is verified and never silently regresses
  • Runs the scoring layer on red-team output from any source — your own sessions, a bug bounty, or attacks generated by other kits
  • Works in any chat model with no connected tools or special integrations required
CChatGPTClaudeClaudeGeminiGemini
promptscart.com / prompt-packs / ai-red-team-operations-kit-rubric
Run in
ChatGPT · Claude +1
Your AI model
Step 1
Scope & Severity Rubric Builder
Describe the LLM feature, the attacker objectives in scope, and your deployment risk context, and receive a scoping document plus a calibrated scoring rubric — severity bands, confidence levels, an exposure modifier, and the composite risk formula, each with concrete anchor definitions.
Step 2
Evidence Interrogator
Paste your calibrated rubric and the raw red-team logs — transcripts, notes, or tool output — and receive a graded evidence ledger: each candidate finding tagged confirmed, unproven, or duplicate, with the exact evidence quote, a confidence level, and any reproduction gap that must be closed.
Step 3
Scored Findings Report
Feed in the calibrated rubric and the graded evidence ledger and receive a scored findings report: each confirmed finding gets a severity band, confidence, exposure modifier, and a composite risk score computed with the rubric formula — then the whole set is ranked highest-risk first.
Step 4 · optional
Remediation Prioritizer
Paste the scored findings report and receive a prioritized remediation roadmap: each finding placed on a risk versus effort ranking with a specific fix, the mitigation layer it belongs to — input filter, output filter, system prompt, model choice, or monitoring — an owner role, and a target deadline.
Step 5 · optional
Regression Suite Builder
Supply the confirmed findings and, if you have it, the remediation plan, and receive a regression suite as a structured table — each row a test id, the exact adversarial input, the expected safe behavior, a pass/fail criterion, and the severity tag it guards against.
Output
Your deliverable
Copy-paste ready
One-time
$10
~5 hrs / week
time back

Prompt Customization Serviceoptional help adapting variables and output to your brand voice. Choose your tier at checkout (not tied to this prompt's price).

Instant download after payment
Refund as per the Refund Policy.
Email Support · 24h SLA
Lifetime updates

Models supported
C ChatGPTClaude ClaudeGemini Gemini
Best valueSave $890
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This pack is $10 on its own. Buying every pack separately costs $1039. The Lifetime Bundle is $149 one-time — you save $890 (86% off) and unlock every future pack free.

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Download AI Red-Team Operations Kit

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What ships with your purchase

Prompt files

Plain Markdown files with `{{variables}}` you fill in, ready to paste into ChatGPT, Claude, or Gemini. No setup, no tooling required.

Usage guide

Variable reference, model compatibility, examples, and customization tips so you can adapt the pack to your brand voice.

Lifetime updates

When we improve the pack, you get the new version automatically. Email support included with every purchase.

Models tested: ChatGPT, Claude, Gemini.

The workflow inside this pack

5 composable prompts you run in order — each one picks up where the last left off.

  1. Step 1

    Scope & Severity Rubric Builder

    Describe the LLM feature, the attacker objectives in scope, and your deployment risk context, and receive a scoping document plus a calibrated scoring rubric — severity bands, confidence levels, an exposure modifier, and the composite risk formula, each with concrete anchor definitions.

  2. Step 2

    Evidence Interrogator

    Paste your calibrated rubric and the raw red-team logs — transcripts, notes, or tool output — and receive a graded evidence ledger: each candidate finding tagged confirmed, unproven, or duplicate, with the exact evidence quote, a confidence level, and any reproduction gap that must be closed.

  3. Step 3

    Scored Findings Report

    Feed in the calibrated rubric and the graded evidence ledger and receive a scored findings report: each confirmed finding gets a severity band, confidence, exposure modifier, and a composite risk score computed with the rubric formula — then the whole set is ranked highest-risk first.

  4. Step 4 · optional

    Remediation Prioritizer

    Paste the scored findings report and receive a prioritized remediation roadmap: each finding placed on a risk versus effort ranking with a specific fix, the mitigation layer it belongs to — input filter, output filter, system prompt, model choice, or monitoring — an owner role, and a target deadline.

  5. Step 5 · optional

    Regression Suite Builder

    Supply the confirmed findings and, if you have it, the remediation plan, and receive a regression suite as a structured table — each row a test id, the exact adversarial input, the expected safe behavior, a pass/fail criterion, and the severity tag it guards against.

Perpetual (lifetime) use license

Your one-time purchase includes an ongoing right to use this prompt pack with the AI tools and models you control for your own and your clients' work — not for resale or public redistribution of the files as a product.

We keep the copyright

The prompt files, guides, examples, and bundled assets stay our copyrighted works (or our licensors'). Payment grants the limited license in our Terms only — it does not transfer ownership.

Need help adapting this prompt to your team? Add Prompt Customization Service at checkout.

FAQ

How long does it take to use AI Red-Team Operations Kit?
Most buyers finish in a few minutes: open the prompt file, fill the variables, and paste into your model. The first run is the slowest because you decide variable values; reuse is instant.
What if I get stuck?
Email support@promptscart.com. Free basic support is included with every purchase, and you'll get a reply from our team within 24 hours. If you need help adapting variables or output, we can schedule a call.
Do I need a paid plan with ChatGPT?
The prompt works on free tiers of ChatGPT, Claude, and Gemini. Heavy use can hit free-tier limits; paid plans get longer context and faster responses, but the prompt itself is the value.
Can I customize the prompt?
Yes, completely. You own the prompt files: edit the role framing, add variables, swap output sections, fork it to match your brand voice. Support can help you plan customizations over email.
What if it doesn't work for me?
Refund as per our Refund Policy (https://promptscart.com/refund-policy). Or add Prompt Customization Service at checkout for help adapting variables and output to your workflow.