apiscan

A set of commands for auditing the security of REST and GraphQL APIs, including their login tokens, documented endpoints, parameters, and common attack surfaces.

In plain words
What is it for?
Use it to inspect OpenAPI or Swagger documentation, find hidden parameters, test GraphQL and JWT-related weaknesses, and run broader API security checks.
Why use it?
It provides a structured API security review instead of relying only on manually checking a few endpoints.

Command

Install

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.

agentmods
npx agentmods add commands/ogrodev/fsociety/apiscan
Clone the repo
git clone --depth 1 https://github.com/ogrodev/fsociety
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 556 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00556
Opus 5 $0.00007 $0.00278
Sonnet 5 $0.00003 $0.00111
Haiku 4.5 $0.00001 $0.00056

Measured 2d ago against content hash ad94d74e1538, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

apiscan 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 2d 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.

elliot/commands/apiscan.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Storage Policy: ALL output files MUST be saved in the project directory. NEVER write to /tmp/ or any system temporary directory.

API Security Audit

Target: $ARGUMENTS

Execute a comprehensive API security audit using Hexstrike MCP tools.

Step 1: Load Tools

Use ToolSearch to load:

  • comprehensive_api_audit — full API security audit
  • api_fuzzer — endpoint and parameter fuzzing
  • jwt_analyzer — JWT token analysis and attack testing
  • graphql_scanner — GraphQL introspection and injection testing
  • arjun_parameter_discovery — hidden parameter discovery
  • api_schema_analyzer — OpenAPI/Swagger schema analysis

Step 2: Schema Discovery

Check for common API documentation endpoints:

  • /swagger.json, /openapi.json, /api-docs
  • /graphql with introspection query
  • Run api_schema_analyzer if a schema is found

Step 3: Comprehensive Audit

Run comprehensive_api_audit against the API base URL. This performs broad coverage testing including auth, injection, access control, and business logic.

Step 4: JWT Analysis

If JWT tokens are in scope, run jwt_analyzer to:

  • Decode and inspect token claims
  • Test algorithm confusion (alg:none, RS256→HS256)
  • Check signature validation
  • Test expiration enforcement
  • Attempt key brute-forcing for HS256

Step 5: Parameter Discovery

Run arjun_parameter_discovery on key endpoints to find hidden/undocumented parameters that may bypass access controls or enable injection.

Step 6: Fuzzing

Run api_fuzzer on discovered endpoints with:

  • Method fuzzing (GET/POST/PUT/DELETE/PATCH)
  • Content-type confusion (JSON vs urlencoded vs XML)
  • Parameter type confusion (string vs int vs bool vs array)
  • Auth bypass headers (X-Forwarded-For, X-Original-URL)

Step 7: GraphQL (if applicable)

Run graphql_scanner for:

  • Introspection enumeration
  • Injection testing on fields
  • Depth/complexity abuse
  • Batch query attacks

Step 8: Results

Save findings to apiscan-{target}.md in the project directory, organized by:

  • Authentication/Authorization issues
  • Injection vulnerabilities
  • IDOR / Access control failures
  • Information disclosure
  • Business logic flaws

Read the full file on GitHub · 65 lines

Changes

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.

  1. 2d ago First seen · 65 lines · 14 tokens per session scan A ad94d74e1538

Subscribe to this mod's changes

apiscan is a command published in the GitHub repository ogrodev/fsociety (20 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 556 once invoked, about $0.0001 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 2026-08-30.