Borrowing it
Nothing to install: this file belongs to Suzu-Testing/metasploit-cursor-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Suzu-Testing/metasploit-cursor-harness/main/.cursor/skills/graphql-pentest/SKILL.mdgit clone --depth 1 https://github.com/Suzu-Testing/metasploit-cursor-harnessWrote 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/suzu-testing/metasploit-cursor-harness/graphql-pentest)<a href="https://agentmods.dev/skills/suzu-testing/metasploit-cursor-harness/graphql-pentest"><img src="https://agentmods.dev/badge/skills/suzu-testing/metasploit-cursor-harness/graphql-pentest.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 | $0.00042 | $0.01766 |
| Opus 5 | $0.00021 | $0.00883 |
| Sonnet 5 | $0.00008 | $0.00353 |
| Haiku 4.5 | $0.00004 | $0.00177 |
Grade A, and why
graphql-pentest 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 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 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 "http://<target>/graphql" -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.
curl -X POST "http://<target>/graphql" -H "Content-Type: application/json" -d '{"query":"{__typename}"}' How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL Injection Pentest
Prerequisites
- Target is in scope (
scope/scope-master.txt, engagement ROE). - Load
web-app-pentestfor overall web testing context.
Triggers
- Endpoints at
/graphql,/graphiql,/api/graphql, or similar paths - POST bodies with
"query": "..."JSON structure - GraphiQL or GraphQL Playground interfaces exposed
- Introspection or schema suggestion errors in responses
- Nested query syntax in API traffic
Workflow
Task Progress:
- [ ] Discover endpoint (GET/POST); probe with introspection query
- [ ] Run introspection or schema suggestion/bruteforce if disabled
- [ ] Map queries/mutations; test IDOR on arguments
- [ ] Test batching for rate-limit bypass; inject in variables
- [ ] Document with request/response evidence
Detection
Endpoint discovery and introspection
CLI (primary for web vulns):
python3 graphw00f.py -d -t http://<target>/graphql
python3 graphqlmap.py -u http://<target>/graphql --method POST
curl -X POST "http://<target>/graphql" -H "Content-Type: application/json" -d '{"query":"{__typename}"}'
MSF MCP:
msf_run_auxiliary_module(
module_name="auxiliary/scanner/http/graphql_introspection",
engagement_id="<id>",
options={"RHOSTS": "<target>", "TARGETURI": "/graphql", "SCHEMA": "true"}
)
Full introspection query
CLI (primary):
{__schema{types{name kind fields{name type{name kind ofType{name kind}}}}}}
MSF MCP: Same graphql_introspection module with SCHEMA: "true".
Schema enumeration via suggestions
CLI (primary):
python3 clairvoyance.py http://<target>/graphql -w wordlist.txt
curl -X POST "http://<target>/graphql" -d '{"query":"{ usre { id name } }"}'
Typo triggers Did you mean "user"? revealing valid fields.
MSF MCP: No direct module when introspection disabled.
Exploitation by variant
IDOR via arguments
CLI (primary):
curl -X POST "http://<target>/graphql" -H "Authorization: Bearer <token>" \
-d '{"query":"{ user(id: \"1002\") { email password } }"}'
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 · 238 lines · 42 tokens per session scan A 24a9860818c9
graphql-pentest is a skill published in the GitHub repository Suzu-Testing/metasploit-cursor-harness (3 stars, last pushed 13d ago), licensed MIT. It adds 42 tokens to every session and 1,766 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 2026-08-31.
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