pwn-ai-redteam-agentprotocolabuse

pwn-ai-redteam-agentprotocolabuse is a skill for Claude Code from 0dayInc/pwn. It costs 28 tokens per session (365 once invoked), scanned A, original, MIT.

An AI security testing module that simulates attacks through connections between agents, tools, and servers. It covers fake servers, poisoned tool descriptions, and situations where an agent is tricked into using a tool improperly.

In plain words
What is it for?
Use it to test MCP, A2A, and tool-connection workflows for spoofing, poisoned instructions, and confused-deputy attacks.
Why use it?
It helps expose risks in systems where AI agents communicate with external tools or other agents. The scan maps findings to security references.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to test MCP, A2A, and tool-connection workflows for spoofing, poisoned instructions, and confused-deputy attacks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0dayinc/pwn/agent_protocol_abuse
View source ↗ 0dayInc/pwn
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add 0dayInc/pwn --skill agent_protocol_abuse
Clone the repo
git clone --depth 1 https://github.com/0dayInc/pwn

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pwn-ai-redteam-agentprotocolabuse

README.md
[![agentmods](https://agentmods.dev/badge/skills/0dayinc/pwn/agent_protocol_abuse/github.svg)](https://agentmods.dev/skills/0dayinc/pwn/agent_protocol_abuse)
Your own site
<a href="https://agentmods.dev/skills/0dayinc/pwn/agent_protocol_abuse"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/agent_protocol_abuse/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pwn-ai-redteam-agentprotocolabuse

Your own site · 80×15
<a href="https://agentmods.dev/skills/0dayinc/pwn/agent_protocol_abuse"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/agent_protocol_abuse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 365 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00365
Opus 5.5 $0.00011 $0.00146
Sonnet 5.5 $0.00006 $0.00073
Haiku 4.5 $0.00003 $0.00036

Measured 1mo ago against content hash 03935fe8b59a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pwn-ai-redteam-agentprotocolabuse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

etc/default_skills/pwn/ai/red_team/agent_protocol_abuse/SKILL.md · 54 lines

What it actually says

PWN::AI::RedTeam::AgentProtocolAbuse

AI RedTeam Module used to simulate malicious MCP, A2A, and tool-connection channels: spoofed servers, poisoned tool descriptions, and confused-deputy tool calls.

When to use

Call PWN::AI::RedTeam::AgentProtocolAbuse from pwn_eval when the task needs this module. Do not reimplement it in shell.

Methodologies

Generated from pwn/ai/red_team/agent_protocol_abuse.rb. Prefer the public class methods below. Class methods take (opts = {}) and read opts.

How to call

PWN::AI::RedTeam::AgentProtocolAbuse.help
PWN::AI::RedTeam::AgentProtocolAbuse.scan(opts)

Public methods

  • scan
  • security_references
  • authors
  • help

References

  • references/security.md — CWE / NIST mapping
  • references/urls.md — URLs from source

Source

pwn/ai/red_team/agent_protocol_abuse.rb

Verification

PWN::AI::RedTeam::AgentProtocolAbuse.respond_to?(:scan) after the module is loaded. Read the source for parameter names.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 54 lines · 28 tokens per session scan A 03935fe8b59a

Subscribe to this mod's changes

pwn-ai-redteam-agentprotocolabuse is a skill published in the GitHub repository 0dayInc/pwn (86 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 365 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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