Decepticon is an autonomous red-team agent that coordinates AI agents, security tools, sandboxes, and supporting services for authorized cybersecurity assessments. Security researchers and red teams can run it through its Docker stack, cloud service, command-line interface, or Python SDK, with the catalogue entries representing its available skills.
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.
npx skills add PurpleAILAB/Decepticon --skill enip-cipgit clone --depth 1 https://github.com/PurpleAILAB/DecepticonWrote 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.
[](https://agentmods.dev/skills/purpleailab/decepticon/enip-cip)<a href="https://agentmods.dev/skills/purpleailab/decepticon/enip-cip"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/enip-cip/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.
<a href="https://agentmods.dev/skills/purpleailab/decepticon/enip-cip"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/enip-cip.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 31 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.03060 |
| Opus 5 | $0.00041 | $0.01530 |
| Sonnet 5 | $0.00016 | $0.00612 |
| Haiku 4.5 | $0.00008 | $0.00306 |
Grade A, and why
enip-cip 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EtherNet/IP + CIP Attack Playbook (TCP 44818 / UDP 2222)
EtherNet/IP is the dominant North American ICS protocol — every Allen-Bradley ControlLogix, CompactLogix, and MicroLogix ships with it enabled by default. CIP (Common Industrial Protocol) rides on top. Most deployments have no authentication at the CIP layer: if you can reach TCP 44818, you can read the full tag database and, in scope, write to process variables or change PLC execution state.
SAFETY FIRST
CIP write operations (Write() on tags) and mode-change commands (Stop, Run, Reset) affect physical process equipment. A mode-change to Stop immediately halts the PLC program — the controlled process (conveyor, motor, pump, valve) goes to its fail-safe state or de-energizes. Confirm written scope authorization for any write/control-class operation. Read and enumerate operations (tag list, controller info, identity) are safe.
Prerequisites
# Install pylogix (Allen-Bradley EtherNet/IP client)
pip install pylogix
# Install cpppo (Rockwell EtherNet/IP / CIP toolkit)
pip install cpppo
# nmap EtherNet/IP scripts
# Built-in: enip-info.nse (ships with Nmap >= 7.80)
nmap -p 44818 --open -sV 10.0.0.0/24
Phase 1 — Discover
UDP 2222 List Identity broadcast
UDP 2222 carries the ENIP "List Identity" command — no session, no authentication. Send a broadcast and all EtherNet/IP devices on the subnet respond with vendor, product name, serial number, firmware revision, and IP.
# Using cpppo enip command-line
python3 -m cpppo.server.enip.list_identity 10.0.0.255
# Or unicast:
python3 -m cpppo.server.enip.list_identity 10.0.0.5
# Example output:
# {'product_name': 'ControlLogix5580', 'vendor_id': 1, 'device_type': 14,
# 'product_code': 166, 'revision': {'major': 33, 'minor': 11},
# 'serial_number': '0xA1B2C3D4', 'status': 12340}
# nmap enip-info script (TCP 44818)
nmap -p 44818 --script enip-info 10.0.0.5
# Returns: VendorID, DeviceType, ProductCode, Revision, Serial, ProductName, State
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.
- 9d ago First seen · 278 lines · 81 tokens per session scan A 4875ae2e72b0
enip-cip is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,491 stars, last pushed 13d ago), licensed Apache-2.0. It adds 81 tokens to every session and 3,060 once invoked, about $0.0004 per session on Opus 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 2026-09-03.
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interactive-dashboard
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onboarding
First-time user onboarding to set up investment profile, watchlists, portfolio, and preferences.
idea-generation
Stock screening and idea generation: quantitative screens, thematic analysis, shortlist.
secretary
Workspace and research management — dispatch analyses, monitor running agents, manage workspaces and threads.
python-lib-analyzer
Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.
analyzing-windows-prefetch-with-python
Use when parse Windows Prefetch files using the windowsprefetch Python library to reconstruct application execution history, detect renamed or masquerading binaries, and identify suspicious program execution patterns. Use when working with analyzing windows prefetch with python.