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 ato-methodologygit 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/ato-methodology)<a href="https://agentmods.dev/skills/purpleailab/decepticon/ato-methodology"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/ato-methodology/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/ato-methodology"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/ato-methodology.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 | $0.00039 | $0.01089 |
| Opus 5 | $0.00019 | $0.00544 |
| Sonnet 5 | $0.00008 | $0.00218 |
| Haiku 4.5 | $0.00004 | $0.00109 |
Grade A, and why
ato-methodology 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ato-methodology — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Account Takeover (ATO) Methodology
ATO is an outcome, not a vuln class. Reach it via 9 canonical paths.
1. Password reset flaws
- Token in URL leaked to Referer (3rd-party CDN, analytics)
- Token guessable (timestamp + user_id, sequential int, predictable RNG)
- Token-no-expiry → reuse forever
- Reset accepts arbitrary email param (mass-assignment style)
- Token not invalidated after password change
- "Forgot username" flows revealing existence
2. Email change without re-auth
POST /api/users/me/email {email: ...} without verifying current password.
Or with verification but verification token leaks.
3. Session fixation
Server accepts attacker-set session cookie. Victim's actions bind to attacker's session.
4. JWT-based ATO
See skills/exploit/web/jwt/SKILL.md — alg confusion, weak secret, kid injection.
5. OAuth-based ATO
See skills/exploit/web/oauth/SKILL.md — redirect_uri bypass + open-redirect chain → code to attacker.
6. IDOR-based ATO
PATCH /api/users/<id>w/o auth check → change victim's email/passwordGET /api/users/<id>/sessions→ harvest victim's session tokens
7. XSS-based ATO
Stored XSS on victim-visible page → exfil cookie / session token to attacker.
8. CSRF on critical state
- CSRF on password change endpoint (no anti-CSRF token)
- CSRF on email change
- CSRF on MFA disable
9. MFA bypass
- TOTP code accepted multiple times w/ short delay (race)
- TOTP code accepted from past N-step (clock skew abuse)
- Backup-code flow doesn't enforce TOTP
- "Trust this device" w/o re-auth on critical action
- Account recovery bypasses MFA entirely
- Phone-number takeover (SIM swap) → SMS 2FA hijack
Chain table
| Primary vuln | Chain partner | Outcome |
|---|---|---|
| Open redirect | OAuth redirect_uri allowlist | OAuth code → attacker → ATO |
| XSS (reflected) | session cookie not HttpOnly | Cookie exfil → ATO |
| XSS (stored) | victim views page | Cookie / session-storage exfil → ATO |
| IDOR on email change | reset flow | Change victim's email, reset, login |
| CSRF on password change | predictable URL | Phishing email triggers password change |
| Predictable reset token | weak RNG audit | Generate victim's token offline → reset |
| OAuth state missing | account linking by email | Attacker pre-creates account, links victim's OAuth → ATO |
| JWT alg=none | server accepts | Mint admin JWT → ATO |
| Email change w/o re-auth + ATO of email | full account graph | Standard playbook for multi-tenant SaaS |
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 · 105 lines · 39 tokens per session scan A 4f11bfa0690d
ato-methodology is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,497 stars, last pushed 13d ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,089 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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