Agent skill

Analyzing API Gateway Access Logs

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts.

Apache-2.0Auto-check passedData & Analytics

Install Analyzing API Gateway Access Logs

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-api-gateway-access-logs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-api-gateway-access-logs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-api-gateway-access-logs .claude/skills/analyzing-api-gateway-access-logs && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyzing-api-gateway-access-logs
GitHub stars
34k
Token cost
~581 tokens
SKILL.md length
141 words
Files
4 (incl. scripts, references)
Skills in repo
637
Repo updated
First seen
Licence
Apache-2.0

At a glance

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts.

  • Works in 5 steps: BOLA/IDOR: sequential resource ID… → Rate limit bypass via header manipulation → Credential scanning (401 surges from… → …
  • Investigating API abuse
  • SKILL.md covers When to Use, Prerequisites, Instructions and Examples
  • Runs Python scripts from its folder

What it does

Analyzing API Gateway Access Logs is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Data & Analytics, covering Microservices, Rate limiting and Web application vulnerabilities. It works with Amazon Web Services, NGINX and pandas. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Investigating API abuse
  • Building API-specific threat detection rules

Example prompts

  • “Use the analyzing-api-gateway-access-logs skill to parse API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate…”
  • “/analyzing-api-gateway-access-logs”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. BOLA/IDOR: sequential resource ID enumeration
  2. Rate limit bypass via header manipulation
  3. Credential scanning (401 surges from single source)
  4. SQL/NoSQL injection in query parameters
  5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyzing API Gateway Access Logs loads about 581 tokens when it runs, and up to ~944 if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 141 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~581
With references · SKILL.md plus every file in references/, read only if the agent opens them
~944

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 141 words, ~581 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-api-gateway-access-logs/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
analyzing-api-gateway-access-logs
description
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.
domain
cybersecurity
subdomain
security-operations
tags
api-security, access-log-analysis, aws-api-gateway, kong, nginx, bola-detection, rate-limit-bypass, security-operations
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
mitre_attack
T1190, T1110.004, T1078.004, T1119

Analyzing API Gateway Access Logs

When to Use

  • When investigating security incidents that require analyzing api gateway access logs
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Familiarity with security operations concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

Parse API gateway access logs to identify attack patterns including broken object level authorization (BOLA), excessive data exposure, and injection attempts.

python
import pandas as pd

df = pd.read_json("api_gateway_logs.json", lines=True)
# Detect BOLA: same user accessing many different resource IDs
bola = df.groupby(["user_id", "endpoint"]).agg(
    unique_ids=("resource_id", "nunique")).reset_index()
suspicious = bola[bola["unique_ids"] > 50]

Key detection patterns:

  1. BOLA/IDOR: sequential resource ID enumeration
  2. Rate limit bypass via header manipulation
  3. Credential scanning (401 surges from single source)
  4. SQL/NoSQL injection in query parameters
  5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints

Examples

python
# Detect 401 surges indicating credential scanning
auth_failures = df[df["status_code"] == 401]
scanner_ips = auth_failures.groupby("source_ip").size()
scanners = scanner_ips[scanner_ips > 100]

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/analyzing-api-gateway-access-logs of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Analyzing API Gateway Access Logs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyzing API Gateway Access Logs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing API Gateway Access Logs this skillmukul975/Anthropic-Cybersecurity-Skills34k—~581Automated safety check: PassApache-2.0
Querying Big Datasetsflyrank-bih/flyrank-ml-internship-starter140—~750Automated safety check: PassCustom licence
API Security Designvinayaklatthe/microsoft-security-skills175—~2.2kAutomated safety check: PassMIT
API Security ReviewOWASP/secure-agent-playbook187—~744Automated safety check: PassCC-BY-4.0
Data AnalystRightNow-AI/openfang18k—~730Automated safety check: PassApache-2.0
Data AnalysisEXboys/skilllite170—~176Automated safety check: PassMIT

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Questions about Analyzing API Gateway Access Logs

What does Analyzing API Gateway Access Logs do?

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Analyzing API Gateway Access Logs is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts.

When should I use Analyzing API Gateway Access Logs?

Analyzing API Gateway Access Logs fits situations like: investigating API abuse; building API-specific threat detection rules.

How do I install Analyzing API Gateway Access Logs in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-api-gateway-access-logs -a claude-code`. Or copy the skill folder (skills/analyzing-api-gateway-access-logs in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-api-gateway-access-logs in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing API Gateway Access Logs in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-api-gateway-access-logs -a codex`. Or copy the skill folder (skills/analyzing-api-gateway-access-logs in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-api-gateway-access-logs in your project. Codex loads it when a task matches its description.

Can I use Analyzing API Gateway Access Logs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-api-gateway-access-logs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-api-gateway-access-logs, .gemini/skills/analyzing-api-gateway-access-logs, .github/skills/analyzing-api-gateway-access-logs and .opencode/skills/analyzing-api-gateway-access-logs in your project.

What does Analyzing API Gateway Access Logs need to run?

Going by SKILL.md and its folder, Analyzing API Gateway Access Logs needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Analyzing API Gateway Access Logs access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyzing API Gateway Access Logs safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyzing API Gateway Access Logs use?

Analyzing API Gateway Access Logs is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyzing API Gateway Access Logs use?

About 581 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 363 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing API Gateway Access Logs?

Skills that share tags, products or a category with Analyzing API Gateway Access Logs: Querying Big Datasets (flyrank-bih/flyrank-ml-internship-starter, 140 stars), API Security Design (vinayaklatthe/microsoft-security-skills, 175 stars), API Security Review (OWASP/secure-agent-playbook, 187 stars) and Data Analyst (RightNow-AI/openfang, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing API Gateway Access Logs?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,922 GitHub stars. The repository holds 637 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.