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 bflagit 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/bfla)<a href="https://agentmods.dev/skills/purpleailab/decepticon/bfla"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/bfla/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/bfla"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/bfla.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 9 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 48 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.
- high Supply Chain · line 146 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 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.
- medium Data Exfiltration · line 96 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 113 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 146 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 173 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 197 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 202 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 | $0.00047 | $0.02710 |
| Opus 5 | $0.00023 | $0.01355 |
| Sonnet 5 | $0.00009 | $0.00542 |
| Haiku 4.5 | $0.00005 | $0.00271 |
Grade B, and why
bfla 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 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.
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 -c basic.jar -X POST https://<TARGET>/login -d 'user=basic&pass=<pass>' 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 -s https://<TARGET>/openapi.json 2>/dev/null | python3 -c " 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 https://<TARGET>/static/main.js | grep -oE '"/api/[^"]*"' | sort -u How it starts
The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Broken Function Level Authorization (BFLA)
BFLA is an action-level access control failure: a lower-privileged principal successfully invokes a function (HTTP endpoint, GraphQL mutation, gRPC method, WebSocket event, background job action) that should be restricted to a higher-privileged role. It is distinct from IDOR (T1190 object-level) — the surface here is the action itself, not the object ID. Enforcement must bind actor to action at every transport layer and every service boundary, not just at the UI or API gateway.
Authorized use only. Only test systems you are explicitly authorized to assess. Privilege escalation in production without authorization is a crime in most jurisdictions.
Attack Surface
- REST/JSON admin endpoints hidden from the UI but still live on the server
- GraphQL mutations and admin fields absent from the published schema but introspectable
- gRPC methods listed via server reflection that bypass gateway checks
- WebSocket events where only the handshake was authorized
- Background job create/finalize/approve endpoints that re-use session but skip role checks
- Internal microservice RPCs reachable via SSRF or exposed routing
- Feature flags enforced client-side / at edge but not at the core service
High-Value Actions
- Role/permission assignment, user impersonation, sudo/su endpoints
- Refund, credit issuance, price override, order void/cancel
- Export/bulk-download of all user data or PII
- Account suspension, deletion, reactivation, verification override
- Feature flag toggle, quota/grant adjustment, seat/license change
- 2FA reset, email-change bypass, password-reset initiation for arbitrary accounts
- Admin console CRUD (create user, delete user, assign group)
Reconnaissance
Build the Actor x Action Matrix
Before fuzzing, enumerate the roles and their expected actions:
# Capture all endpoints from JS bundles, API spec, and crawl
# Extract role-specific API paths from the frontend
curl -s https://<TARGET>/static/main.js | grep -oE '"/api/[^"]*"' | sort -u
curl -s https://<TARGET>/openapi.json 2>/dev/null | python3 -c "
import sys,json
spec = json.load(sys.stdin)
for path,methods in spec.get('paths',{}).items():
for method,info in methods.items():
tags = info.get('tags',[]) + info.get('x-roles',[]) + info.get('security',[])
print(method.upper(), path, tags)
" 2>/dev/null
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 · 252 lines · 47 tokens per session scan B f2fcba00450f
bfla is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,491 stars, last pushed 13d ago), licensed Apache-2.0. It adds 47 tokens to every session and 2,710 once invoked, about $0.0002 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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