offensive-bug-identification

offensive-bug-identification is a skill for Claude Code, Codex from SnailSploit/Claude-Red. It costs 0 tokens per session (13,479 once invoked), scanned C, original, MIT.

A structured method for finding software bugs and security weaknesses through source-code review, black-box testing, data-flow tracing, and automated scanning. Black-box testing checks a program from the outside without relying on its internal code.

In plain words
What is it for?
Use it for code audits, bug-bounty triage, vulnerability hunting, taint analysis, and setting up scanning workflows.
Why use it?
It gives code audits and vulnerability investigations a consistent checklist instead of relying on ad hoc searches. It helps connect untrusted input to risky operations.

Skill for Claude CodeCodex

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 skills/snailsploit/claude-red/offensive-bug-identification
Any agent
npx skills add SnailSploit/Claude-Red --skill offensive-bug-identification
Clone the repo
git clone --depth 1 https://github.com/SnailSploit/Claude-Red

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 offensive-bug-identification

README.md
[![agentmods](https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-bug-identification.svg)](https://agentmods.dev/skills/snailsploit/claude-red/offensive-bug-identification)
Your own site
<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-bug-identification"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-bug-identification.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,479 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00000 $0.13479
Opus 5 $0.00000 $0.06739
Sonnet 5 $0.00000 $0.02696
Haiku 4.5 $0.00000 $0.01348

Measured 4d ago against content hash b80715679fc4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

offensive-bug-identification scanned grade C with 2 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.

Cloud metadata endpointhighServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

- SSRF paths into metadata services (`169.254.169.254`, IMDSv2 bypass techniques)

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

wget -Uri https://www.catalog.update.microsoft.com/Download.aspx?q=KB5037778 -OutFile kb.msu
Skills/fuzzing/offensive-bug-identification/SKILL.md · 1,255 lines

How it starts

The opening of the file, as written. The whole thing — 1,255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: Bug Identification

Metadata

Description

Systematic bug identification methodology: source code review patterns, black-box testing strategies, taint analysis, dangerous function hunting, data flow tracing, and automated scanning setup. Use for code audits, bug bounty triage, or building vulnerability identification pipelines.

Trigger Phrases

Use this skill when the conversation involves any of: bug identification, code review, taint analysis, dangerous functions, data flow, source audit, black box, vulnerability identification, static analysis, code audit, bug hunting

Instructions for Claude

When this skill is active:

  1. Load and apply the full methodology below as your operational checklist
  2. Follow steps in order unless the user specifies otherwise
  3. For each technique, consider applicability to the current target/context
  4. Track which checklist items have been completed
  5. Suggest next steps based on findings

Full Methodology

Bug Identification

Overview

Bug identification is the process of discovering potential vulnerabilities in software through various techniques including static analysis, dynamic analysis, and fuzzing. This document outlines methodologies and tools for effective vulnerability research.

For practical exploit development, see Exploit Development.

flowchart TD
    BugId["Bug Identification"]

    %% Main Methods
    Static["Static Analysis"]
    Dynamic["Dynamic Analysis"]
    Fuzzing["Fuzzing"]
    AI["AI-Assisted"]

    %% Static Analysis Methods
    CodeReview["Manual Code Review"]
    RevEng["Reverse Engineering"]
    PatchDiff["Patch Diffing"]
    StaticTools["Static Analysis Tools"]
    SBOM["Supply Chain Analysis"]

    %% Dynamic Analysis Methods
    DebugTrace["Debugging/Tracing"]
    DBI["Dynamic Binary Instrumentation"]
    Taint["Taint Analysis"]
    SymExec["Symbolic Execution"]
    Snapshot["Snapshot Analysis"]

    %% Fuzzing Methods
    DumbFuzz["Dumb Fuzzing"]
    SmartFuzz["Smart Fuzzing"]
    EvoFuzz["Evolutionary Fuzzing"]
    LLMFuzz["LLM-Guided Fuzzing"]

    %% AI Methods
    LLMTriage["LLM Crash Triage"]
    MLPattern["ML Pattern Recognition"]
    AutoVariant["Automated Variant Analysis"]

    %% Connections
    BugId --> Static
    BugId --> Dynamic
    BugId --> Fuzzing
    BugId --> AI

    Static --> CodeReview
    Static --> RevEng
    Static --> PatchDiff
    Static --> StaticTools
    Static --> SBOM

    Dynamic --> DebugTrace
    Dynamic --> DBI
    Dynamic --> Taint
    Dynamic --> SymExec
    Dynamic --> Snapshot

    Fuzzing --> DumbFuzz
    Fuzzing --> SmartFuzz
    Fuzzing --> EvoFuzz
    Fuzzing --> LLMFuzz

    AI --> LLMTriage
    AI --> MLPattern
    AI --> AutoVariant

    %% Combinations
    Taint -.-> Fuzzing
    SymExec -.-> Fuzzing
    RevEng -.-> Fuzzing
    AI -.-> Fuzzing
    AI -.-> Static

    class BugId primary

Read the full file on GitHub · 1,255 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. 4d ago First seen · 1,255 lines · 0 tokens per session scan C b80715679fc4

Subscribe to this mod's changes

offensive-bug-identification is a skill published in the GitHub repository SnailSploit/Claude-Red (3,023 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 13,479 tokens. A static security scan graded it C with 2 findings (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.

Related

Other skills, from other repositories

app-store-opportunity-research

Full-pipeline iOS App Store opportunity research. Discovers underserved niches, analyzes competitor gaps, estimates revenue, produces scored top-3 opportunity reports, and writes MVP PRDs — all through browser and web research. Use when the user wants to find profitable iOS app ideas, research App Store charts…

robertguss/claude-code-toolkit · 130 tokens

code-documenter

Expert documentation generator for coding projects. Analyzes codebases to create thorough, comprehensive documentation for developers and users. Supports incremental updates, multi-audience documentation, architecture decision records, and documentation health tracking. Works with any project type (APIs, CLIs, web…

robertguss/claude-code-toolkit · 87 tokens

ghost-writer

Produce first drafts that match a writer's authentic voice using their Voice DNA Document. Consumes DNA documents from writing-dna-discovery skill. Generates 2 meaningfully different drafts with headlines, confidence assessment, decision notes, and DNA refinement suggestions. Collaborative partner that evaluates…

robertguss/claude-code-toolkit · 77 tokens

app-store-listing-optimizer

Optimize iOS App Store and Google Play Store listings for maximum discoverability and conversion. Perform competitive keyword research, craft keyword-optimized titles/subtitles/descriptions, design screenshot sequences, and generate A/B test variants. Use when the user has a built app and needs to write or improve…

robertguss/claude-code-toolkit · 137 tokens

paywall-pricing-optimizer

Design effective paywalls, structure subscription tiers, and optimize pricing for mobile apps. Covers monetization model selection, paywall screen design, pricing psychology, A/B testing strategy, and RevenueCat/StoreKit/Google Billing integration. Use when the user wants to monetize an app, design a paywall, choose…

robertguss/claude-code-toolkit · 143 tokens

dhh-writing

This skill should be used when writing in the distinctive style of David Heinemeier Hansson (DHH). It applies when creating blog posts, technical articles, business content, manifestos, or any prose requiring a clear, punchy, opinionated style.

robertguss/claude-code-toolkit · 56 tokens