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 graphqlgit 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/graphql)<a href="https://agentmods.dev/skills/purpleailab/decepticon/graphql"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/graphql.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 | $0.00024 | $0.01515 |
| Opus 5 | $0.00012 | $0.00758 |
| Sonnet 5 | $0.00005 | $0.00303 |
| Haiku 4.5 | $0.00002 | $0.00152 |
Grade A, and why
graphql scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
code=$(curl -s -o /dev/null -w "%{http_code}" "http://<TARGET>$path" -H 'Content-Type: application/json' -d '{"query":"{ __typename }"}') Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
code=$(curl -s -o /dev/null -w "%{http_code}" "http://<TARGET>$path" -H 'Content-Type: application/json' -d '{"query":"{ __typename }"}') Copies of this mod
1 near-identical copy found in the catalogue:
- graphql — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL Exploitation
Exploits GraphQL APIs for data exfiltration, SQL injection through resolvers, authentication/authorization bypass, and batch query abuse.
Discovery
# Common GraphQL endpoints
for path in /graphql /graphiql /v1/graphql /v2/graphql /api/graphql /query /gql /graphql/console; do
code=$(curl -s -o /dev/null -w "%{http_code}" "http://<TARGET>$path" -H 'Content-Type: application/json' -d '{"query":"{ __typename }"}')
[ "$code" != "404" ] && [ "$code" != "000" ] && echo "$path -> HTTP $code"
done
# Check for GraphiQL IDE (browser-based)
curl -s 'http://<TARGET>/graphiql' | grep -i 'graphiql\|graphql'
Introspection — Schema Dump
# Quick schema overview — list all types and their fields
curl -s 'http://<TARGET>/graphql' -H 'Content-Type: application/json' \
-d '{"query":"{ __schema { types { name kind fields { name type { name kind ofType { name } } } } } }"}' | python3 -m json.tool
# List all query types (entry points)
curl -s 'http://<TARGET>/graphql' -H 'Content-Type: application/json' \
-d '{"query":"{ __schema { queryType { fields { name args { name type { name } } type { name kind ofType { name } } } } } }"}' | python3 -m json.tool
# List all mutations
curl -s 'http://<TARGET>/graphql' -H 'Content-Type: application/json' \
-d '{"query":"{ __schema { mutationType { fields { name args { name type { name } } } } } }"}' | python3 -m json.tool
# Full introspection query (complete schema)
curl -s 'http://<TARGET>/graphql' -H 'Content-Type: application/json' \
-d '{"query":"query IntrospectionQuery { __schema { queryType { name } mutationType { name } subscriptionType { name } types { ...FullType } } } fragment FullType on __Type { kind name fields(includeDeprecated: true) { name args { name type { ...TypeRef } } type { ...TypeRef } } inputFields { name type { ...TypeRef } } enumValues(includeDeprecated: true) { name } } fragment TypeRef on __Type { kind name ofType { kind name ofType { kind name ofType { kind name } } } }"}' | python3 -m json.tool
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.
- 3d ago First seen · 112 lines · 24 tokens per session scan A c2110b4011eb
graphql is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,452 stars, last pushed 7d ago), licensed Apache-2.0. It adds 24 tokens to every session and 1,515 once invoked, about $0.0001 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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