WSTG Information Gathering

WSTG Information Gathering is a skill for Claude Code, Codex from 0xwi11iam/Suijin. It costs 27 tokens per session (319 once invoked), scanned A, original, AGPL-3.0.

A security testing guide for gathering information about a target system before deeper testing. It includes searching the web, identifying web-server software, and checking pages for information leaks.

In plain words
What is it for?
Use it to perform search-engine discovery, fingerprint web servers, and review web content for leaked system information.
Why use it?
It helps reveal details that an attacker could use, such as exposed pages, software identities, or accidentally published information. Early discovery gives later security tests a clearer scope.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to perform search-engine discovery, fingerprint web servers, and review web content for leaked system information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xwi11iam/suijin/wstg-info-gathering
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.

Any agent
npx skills add 0xwi11iam/Suijin --skill wstg-info-gathering
Clone the repo
git clone --depth 1 https://github.com/0xwi11iam/Suijin

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for WSTG Information Gathering

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xwi11iam/suijin/wstg-info-gathering/github.svg)](https://agentmods.dev/skills/0xwi11iam/suijin/wstg-info-gathering)
Your own site
<a href="https://agentmods.dev/skills/0xwi11iam/suijin/wstg-info-gathering"><img src="https://agentmods.dev/badge/skills/0xwi11iam/suijin/wstg-info-gathering/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.

agentmods 80×15 button for WSTG Information Gathering

Your own site · 80×15
<a href="https://agentmods.dev/skills/0xwi11iam/suijin/wstg-info-gathering"><img src="https://agentmods.dev/badge/skills/0xwi11iam/suijin/wstg-info-gathering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 319 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00027 $0.00319
Opus 5.5 $0.00011 $0.00128
Sonnet 5.5 $0.00005 $0.00064
Haiku 4.5 $0.00003 $0.00032

Measured 9d ago against content hash 041b91f11295, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

WSTG Information Gathering 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 9d 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.

suijin/server/agent/lib/skills/wstg-info-gathering/SKILL.md · 36 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 9d ago First seen · 36 lines · 27 tokens per session scan A 041b91f11295

Subscribe to this mod's changes

WSTG Information Gathering is a skill published in the GitHub repository 0xwi11iam/Suijin (20 stars, last pushed today), licensed AGPL-3.0. It adds 27 tokens to every session and 319 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-19.

Related

Other skills, from other repositories

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

deepagents-thread-inspector

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use to look up the current thread's title or name, as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata…

langchain-ai/deepagents · 93 tokens

paper-illustration

A workflow for generating academic illustrations, such as architecture diagrams and method visuals, with image generation and repeated review. Claude plans and checks the figure during the process.

wanshuiyin/Auto-claude-code-research-in-sleep · 67 tokens

research-refine

A research-planning guide that turns a broad research idea into a specific method and a small validation plan.

wanshuiyin/Auto-claude-code-research-in-sleep · 101 tokens

research-implement-feature

Build a working artifact from a plain "implement X for me" request: a running end-to-end spine first, then one feature per rung, with every under-determined decision written to an assumption ledger BEFORE the code that depends on it and a cross-model sweep for the ones that slipped through undeclared. Use when user…

wanshuiyin/Auto-claude-code-research-in-sleep · 120 tokens

rebuttal

Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says "rebuttal", "reply to reviewers", "ICML rebuttal", "OpenReview response", or wants to answer external reviews safely.

wanshuiyin/Auto-claude-code-research-in-sleep · 73 tokens