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/snailsploit/claude-red/offensive-graphqlnpx skills add SnailSploit/Claude-Red --skill offensive-graphqlgit clone --depth 1 https://github.com/SnailSploit/Claude-RedWrote 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/snailsploit/claude-red/offensive-graphql)<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-graphql"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-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 | $0.00219 | $0.05189 |
| Opus 5 | $0.00110 | $0.02594 |
| Sonnet 5 | $0.00044 | $0.01038 |
| Haiku 4.5 | $0.00022 | $0.00519 |
Grade B, and why
offensive-graphql 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 4d 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.
r = requests.post("https://target.com/graphql", json=ops[i:i+500], Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Cloud metadata endpointmediumServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
mutation { setAvatar(url: "http://169.254.169.254/latest/meta-data/iam/security-credentials/") { success } } 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 -X POST https://target.com/graphql \ How it starts
The opening of the file, as written. The whole thing — 568 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offensive GraphQL
GraphQL consolidates an entire API surface behind a single endpoint, making it a high-value target during web application assessments. Unlike REST, where each route maps to a discrete resource, a GraphQL schema exposes every type, field, mutation, and subscription in one queryable structure. Attackers who obtain or reconstruct that schema gain a complete map of the application's data model before writing a single exploit. This skill walks you through each phase of a GraphQL engagement with concrete queries, tool invocations, and chaining patterns.
Quick Workflow
- Discover the endpoint -- probe common paths, inspect client-side JS bundles, check WebSocket upgrade headers.
- Fingerprint the implementation -- use graphw00f to identify the engine and tailor payloads.
- Dump or reconstruct the schema -- full introspection query; if blocked, field suggestion probing or clairvoyance.
- Map the attack surface -- feed the schema into GraphQL Voyager or InQL.
- Test authentication and authorization -- every query and mutation with no token, low-privilege, and cross-user tokens.
- Inject through resolvers -- SQL, NoSQL, and OS command payloads through arguments and variables.
- Abuse batching -- arrayed operations for brute force, OTP bypass, and rate limit evasion.
- Stress depth and complexity -- nested queries, alias fans, and circular fragments.
- Probe subscriptions -- WebSocket with expired or missing tokens, subscribe to sensitive streams.
- Exfiltrate via errors -- verbose stack traces, type mismatches, field suggestions.
- Test file upload -- multipart GraphQL specification for oversized or malicious files.
- Chain and escalate -- combine findings into multi-step attack paths with proof-of-concept queries.
1 -- Endpoint Discovery and Fingerprinting
Probe common paths with a minimal query body. A __typename response confirms a live GraphQL endpoint.
curl -s -X POST https://target.com/graphql \
-H "Content-Type: application/json" \
-d '{"query":"{__typename}"}' | jq .
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.
- 4d ago First seen · 568 lines · 219 tokens per session scan B fb88732fb1cc
offensive-graphql is a skill published in the GitHub repository SnailSploit/Claude-Red (3,023 stars, last pushed 4d ago), licensed MIT. It adds 219 tokens to every session and 5,189 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it B with 3 findings (sends data to an external url, 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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