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 engagement-lifecyclegit 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/engagement-lifecycle)<a href="https://agentmods.dev/skills/purpleailab/decepticon/engagement-lifecycle"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/engagement-lifecycle/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/engagement-lifecycle"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/engagement-lifecycle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.01288 |
| Opus 5 | $0.00015 | $0.00644 |
| Sonnet 5 | $0.00006 | $0.00258 |
| Haiku 4.5 | $0.00003 | $0.00129 |
Grade A, and why
engagement-lifecycle 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 8d 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:
- engagement-lifecycle — 91% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engagement Lifecycle Management
Engagement Initiation
Pre-Flight Checklist
Before starting any engagement, verify:
-
Documents exist and are valid:
-
roe.json— Rules of Engagement with scope, restrictions, contacts -
conops.json— Concept of Operations with threat profile and kill chain phases -
deconfliction.json— Deconfliction identifiers and procedures -
opplan.json— Operational Plan with sequenced, acceptance-gated objectives - All documents cross-reference consistently
-
-
Infrastructure ready:
- Docker sandbox running with required tools
- C2 server reachable if post-exploitation is in scope:
nc -z c2-sliver 31337(gRPC port) - Operator config exists:
/workspace/.sliver-configs/decepticon.cfg - Output directories created (
<engagement>/recon/,<engagement>/exploit/, etc.)
-
If any document is missing: Delegate to
soundwavesub-agent first.
All paths below are relative to the engagement working directory (set via cd before commands run).
Engagement Types and Implications
| Type | Starting Phase | Sub-Agents Used | Key Consideration |
|---|---|---|---|
| Full Scope | Planning → Recon | All (soundwave, recon, exploit, postexploit) | Longest duration, most OPSEC-sensitive |
| Assumed Breach | Exploitation | exploit, postexploit | Skip recon, start from provided foothold |
| Recon Only | Recon | recon only | No exploitation, intelligence gathering only |
| Objective-Based | Varies | Targeted subset | Focus on specific crown jewels |
Read plan/roe.json to determine engagement type and adjust phase ordering accordingly.
Phase Transitions
Gate Checks (Go/No-Go Decisions)
Before transitioning between phases, verify the gate criteria from the workflow skill:
Planning → Recon: roe.json + conops.json + deconfliction.json + opplan.json exist and validated
Recon → Exploit: Attack surface identified, targets prioritized, vulns catalogued
Exploit → PostExploit: Initial foothold established, access type documented
PostExploit → Report: All OPPLAN objectives resolved (passed or blocked)
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.
- 8d ago First seen · 130 lines · 30 tokens per session scan A d397b3474f8d
engagement-lifecycle is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,482 stars, last pushed 12d ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,288 once invoked, about $0.0002 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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