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RedPincer — AI Red Team Suite

AI/LLM red team testing skill. Point at any LLM API endpoint and run automated security assessments. 160+ attack payloads across prompt injection, jailbreak,...

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AI/LLM red team testing skill. Point at any LLM API endpoint and run automated security assessments. 160+ attack payloads across prompt injection, jailbreak,...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

RedPincer — AI/LLM Red Team Suite

Automated security testing for language models. Point at any LLM API endpoint, select attack modules, and run assessments with real-time results and exportable reports. ⚠️ For authorized security testing and research only. Only test systems you own or have explicit permission to audit.

Quick Start

# Clone and install git clone https://github.com/rustyorb/pincer.git {baseDir}/redpincer cd {baseDir}/redpincer npm ci # Run npm run dev # Dashboard at http://localhost:3000 For production: npm run build npx next start -H 0.0.0.0 -p 3000

What It Tests

CategoryPayloadsDescription💉 Prompt Injection40Instruction override, delimiter confusion, indirect injection, payload smuggling🔓 Jailbreak40Persona splitting, gradual escalation, hypothetical framing, roleplay exploitation🔍 Data Extraction40System prompt theft, training data probing, membership inference, embedding extraction🛡️ Guardrail Bypass40Output filter evasion, multi-language bypass, homoglyph tricks, context overflow Total: 160 base payloads × 20 variant transforms = 3,200 test permutations

Supported Providers

OpenAI · Anthropic · OpenRouter · Any OpenAI-compatible endpoint

Attack Engine

160+ payloads across 4 categories Model-specific attacks (GPT, Claude, Llama variants) 20 variant transforms (unicode, encoding, case rotation, etc.) Attack chaining with template variables ({{previous_response}}) AI-powered payload generation — uses the target LLM to generate novel attacks against itself Stop/cancel running attacks instantly

Analysis & Reporting

Heuristic response classifier with context-aware analysis Reduced false positives — detects "explain then refuse" patterns Vulnerability heatmap — visual category × severity matrix Custom scoring rubrics with weighted grades (A+ to F) Verbose 10-section pen-test reports with appendices Multi-target comparison — side-by-side security profiles Regression testing — save baselines, track fixes over time

Advanced Tools

ToolWhat It DoesCompareSame payloads against 2-4 targets simultaneouslyAdaptiveAnalyzes weaknesses, generates targeted follow-upsHeatmapVisual matrix of vulnerability rates by category/severityRegressionSave baseline → re-run later → detect fixes or regressionsScoringCustom rubrics with weighted category/severity/classification scoresChainsMulti-step attacks with {{previous_response}} templatesPayload EditorCreate custom payloads with syntax highlighting + AI generation

Usage Workflow

1. Configure Target → Add LLM endpoint + API key + model 2. Select Categories → Pick attack types to test 3. Run Attack → Stream results in real-time 4. Review Results → Heuristic classification + severity scores 5. Adaptive → Auto-generate follow-up attacks on weaknesses 6. Generate Report → Export comprehensive findings as Markdown

Architecture

All client-side — no server components, your API keys stay local NDJSON streaming — real-time results during attack runs Heuristic analysis — pattern-matching classifier (no LLM-based grading = no extra cost) Zustand + localStorage — state persists across sessions

Companion Tool: RedClaw

For autonomous multi-strategy campaigns (CLI/TUI), see RedClaw — the autonomous red-teaming agent framework. RedPincer = web dashboard, manual + automated testing RedClaw = autonomous CLI agent, adaptive multi-strategy campaigns Together = complete LLM security testing suite Built by @rustyorb — Crack open those guardrails. 🦞

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc