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metaharness_redblue

Adversarial red/blue LLM testing via @metaharness/redblue — generates attacks across OWASP LLM Top-10 / NIST AI RMF families (prompt injection, tool misuse, data leakage, jailbreaks, denial-of-wallet), runs them against an LLM target YOU OWN, judges compromise, optionally applies declarative blue...

SERVERClaude Flow SOURCEclaude-flow
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ruvnet-claude-flow/metaharness-redblue.md

What metaharness_redblue does on Claude Flow

AI agents invoke metaharness_redblue to trigger actions in Claude Flow. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Why metaharness_redblue is rated High

This tool executes security test attacks against LLM systems. While the intent is defensive (testing your own systems), the mechanism involves running generated adversarial prompts and attacks against a target. This is Execute category because it triggers external operations whose effects depend on the attack payloads and target configuration.

From the tool's definition Tool "generates attacks across OWASP LLM Top-10 / NIST AI RMF families (prompt injection, tool misuse, data leakage, jailbreaks, denial-of-wallet), runs them against an LLM target".

Questions about metaharness_redblue

What does the metaharness_redblue tool do? +

Adversarial red/blue LLM testing via @metaharness/redblue — generates attacks across OWASP LLM Top-10 / NIST AI RMF families (prompt injection, tool misuse, data leakage, jailbreaks, denial-of-wallet), runs them against an LLM target YOU OWN, judges compromise, optionally applies declarative blue-team patches, retests, and emits a board-readable report with measured failure reduction. Use when shipping an LLM-powered product and you need a repeatable security gate before exposing it to users — eyeballing prompts is wrong because attack surface coverage requires the OWASP/NIST taxonomy and the judge has to be model-driven for jailbreak detection. SAFETY: upstream hard-enforces no-creds / no-live-targets / no-shell / no-network / no-eval at config-load time; cannot be relaxed via flags. For CI / offline use --mockJudge=true ($0 marker fixture). For real model judging set $OPENROUTER_API_KEY and accept the per-run cost capped by max_cost_usd (default $3). It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on metaharness_redblue? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for metaharness_redblue: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Claude Flow. Nothing to install.

What risk level is metaharness_redblue? +

metaharness_redblue is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit metaharness_redblue? +

Yes. Add a rate_limit block to the metaharness_redblue rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block metaharness_redblue completely? +

Set action: deny in the PolicyLayer policy for metaharness_redblue. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides metaharness_redblue? +

metaharness_redblue is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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