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 idorgit 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/idor)<a href="https://agentmods.dev/skills/purpleailab/decepticon/idor"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/idor/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/idor"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/idor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 66 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 | $0.00045 | $0.01455 |
| Opus 5 | $0.00023 | $0.00727 |
| Sonnet 5 | $0.00009 | $0.00291 |
| Haiku 4.5 | $0.00005 | $0.00145 |
Grade B, and why
idor scanned grade B 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 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.
Sends data to an external URLmediumData 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.
2. Call admin endpoint: `curl -b sessionU -X POST /api/admin/users/<victim>/role -d '{"role":"admin"}'`. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://target.com/graphql \ Copies of this mod
1 near-identical copy found in the catalogue:
- idor-analysis — 97% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDOR Hunting Playbook
IDOR is the #1 source of bug bounty payouts because it's simple, ubiquitous, and scanners can't find it (authorization is business logic). Every endpoint that takes an object ID is a candidate.
1. Sources
- URL path segments:
/api/users/123/invoices/456 - Query string:
?user_id=123 - JSON body fields:
{"orderId": 123} - Headers used as auth scope:
X-Tenant-ID,X-Customer-Id - JWT claims that downstream handlers trust:
sub,tenant,role - WebSocket subscription filters
- GraphQL arguments (
user(id: 123))
2. Audit workflow
Step 1 — enumerate object-handling endpoints
# REST
grep -rE '@(Get|Post|Put|Delete|Patch)Mapping.*\{[a-zA-Z]+Id\}' /workspace/src # Spring
grep -rE 'router\.(get|post|put|delete)\([^)]*:id' /workspace/src # Express
grep -rE '@app\.route\([^)]*<[a-z]+:' /workspace/src # Flask
grep -rE 'resources?\s+:[a-z]+' /workspace/src # Rails
# GraphQL
grep -rE 'type Query|type Mutation' /workspace/src
grep -rE '\w+\(id: ID' /workspace/src
Step 2 — for each endpoint, answer three questions
- Does it check who the caller is? (auth middleware / decorator)
- Does it check whether the object belongs to the caller? (ownership check / tenant filter in the query)
- Does it check whether the caller's role permits the action? (RBAC / policy engine)
A "no" to question 2 = horizontal IDOR (read/write other users' data). A "no" to question 3 = vertical IDOR (regular user → admin action).
Step 3 — ownership-check grep patterns
# Django: should have .filter(user=request.user) on the queryset
grep -rE 'Model\.objects\.get\(pk=' /workspace/src | grep -v 'user=request\.user'
# Rails: should have current_user.posts.find(params[:id])
grep -rE 'Post\.find\(params\[:id\]\)' /workspace/src
# Spring: should have @PreAuthorize("#id == principal.id")
grep -rE 'findById\(id\)' /workspace/src | xargs -I{} grep -L '@PreAuthorize\|@PostAuthorize'
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 · 137 lines · 45 tokens per session scan B ef2a0a0fa291
idor is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,482 stars, last pushed 11d ago), licensed Apache-2.0. It adds 45 tokens to every session and 1,455 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B 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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