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 apt36-transparent-tribegit 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/apt36-transparent-tribe)<a href="https://agentmods.dev/skills/purpleailab/decepticon/apt36-transparent-tribe"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/apt36-transparent-tribe/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/apt36-transparent-tribe"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/apt36-transparent-tribe.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 | $0.00056 | $0.05877 |
| Opus 5 | $0.00028 | $0.02939 |
| Sonnet 5 | $0.00011 | $0.01175 |
| Haiku 4.5 | $0.00006 | $0.00588 |
Grade A, and why
apt36-transparent-tribe 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 11d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
APT36 (Transparent Tribe, Mythic Leopard, ProjectM, COPPER FIELDSTONE) — Adversary Emulation Profile
APT36 (MITRE ATT&CK G0134) is a suspected Pakistan-based cyber-espionage group active since at least 2013, primarily targeting diplomatic, defense, and research organizations in India and Afghanistan. The group is believed to operate in alignment with Pakistan's Inter-Services Intelligence (ISI) strategic interests, conducting persistent intelligence collection against India's government, military, aerospace, and — more recently — educational and startup sectors. APT36 is characterized by heavy reliance on spearphishing with weaponized Office documents delivering its signature CrimsonRAT (.NET implant), Android mobile surveillance via CapraRAT, watering hole attacks, social engineering through honey traps and fake personas, and USB-based lateral movement — a pragmatic, high-volume approach tuned for the India-Pakistan geopolitical theater.
Attribution & motivation
- Sponsor / nation: Pakistan — suspected linkage to Inter-Services Intelligence (ISI). Infrastructure analysis has revealed Pakistani Standard Time (
Asia/Karachi) timezone artifacts embedded in delivered payloads and server configurations. - Motivation: Primarily strategic intelligence collection (espionage) aligned with Pakistani state interests — military, diplomatic, defense-industrial, and political intelligence targeting India. Campaigns consistently exploit India-Pakistan geopolitical events (border tensions, terrorist incidents, Kashmir conflict) as lure themes.
- Attribution confidence: Moderate-High. Based on consistent multi-vendor reporting (Proofpoint, Kaspersky, Cisco Talos, Trend Micro, BlackBerry, Check Point, CrowdStrike, Secureworks), infrastructure analysis showing Pakistan nexus, and operational patterns sustained over a decade. No formal government indictments, but multiple threat intelligence firms converge on Pakistan-state attribution.
Targeting
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.
- 11d ago First seen · 189 lines · 56 tokens per session scan A 14395c5e05fc
apt36-transparent-tribe is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,482 stars, last pushed 11d ago), licensed Apache-2.0. It adds 56 tokens to every session and 5,877 once invoked, about $0.0003 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 2026-08-30.
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