offensive-fuzzing-course

offensive-fuzzing-course is a skill for Claude Code, Codex from Miosa-osa/OSA. It costs 70 tokens per session (562 once invoked), scanned A, original, Apache-2.0.

A course module on fuzzing, the practice of automatically testing software with many generated or changed inputs. It covers target selection, test-input collections, coverage-guided fuzzing, structured inputs, and sorting duplicate results.

In plain words
What is it for?
Use it to learn or teach fuzzing, choose a testing approach, build input collections, and review results from AFL++ or libFuzzer.
Why use it?
It gives learners a focused introduction to how fuzzing campaigns are designed and how their output is reviewed. It is part of an exploit-development curriculum.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to learn or teach fuzzing, choose a testing approach, build input collections, and review results from AFL++ or libFuzzer.

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Install with agentmods
npx agentmods add skills/miosa-osa/osa/offensive-fuzzing-course
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 Miosa-osa/OSA --skill offensive-fuzzing-course
Clone the repo
git clone --depth 1 https://github.com/Miosa-osa/OSA

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-fuzzing-course

README.md
[![agentmods](https://agentmods.dev/badge/skills/miosa-osa/osa/offensive-fuzzing-course/github.svg)](https://agentmods.dev/skills/miosa-osa/osa/offensive-fuzzing-course)
Your own site
<a href="https://agentmods.dev/skills/miosa-osa/osa/offensive-fuzzing-course"><img src="https://agentmods.dev/badge/skills/miosa-osa/osa/offensive-fuzzing-course/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 offensive-fuzzing-course

Your own site · 80×15
<a href="https://agentmods.dev/skills/miosa-osa/osa/offensive-fuzzing-course"><img src="https://agentmods.dev/badge/skills/miosa-osa/osa/offensive-fuzzing-course.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 562 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 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 5.1 $0.00070 $0.00562
Opus 5.5 $0.00028 $0.00225
Sonnet 5.5 $0.00014 $0.00112
Haiku 4.5 $0.00007 $0.00056

Measured 1mo ago against content hash e3003a36b4be, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

offensive-fuzzing-course 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 1mo 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.

priv/skills/offensive-fuzzing-course/SKILL.md · 51 lines

What it actually says

SKILL: Week 2: Finding Vulnerabilities Through Fuzzing

Metadata

Description

Week 2 of the exploit development curriculum. Covers fuzzing methodology: target selection, corpus generation, coverage-guided fuzzing with AFL++/libFuzzer, structured fuzzing, and triage/deduplication. Use when setting up fuzz campaigns, selecting harness strategies, or triaging fuzzer output.

Trigger Phrases

Use this skill when the conversation involves any of: fuzzing curriculum, AFL++, libFuzzer, coverage-guided fuzzing, corpus generation, harness, fuzz target, mutation, triage, crash dedup, week 2, exploit dev course

Methodology references

Read the relevant sections below before following a technique. Read them in order for the complete original methodology. Confirm the target and testing scope with the user before performing any active checks.

Files

What ships with it

5 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.

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. 1mo ago Changed · -895 lines scan B → A e3003a36b4be
  2. 1mo ago First seen · 946 lines · 70 tokens per session scan B 3c4d19e6c84c

Subscribe to this mod's changes

offensive-fuzzing-course is a skill published in the GitHub repository Miosa-osa/OSA (78 stars, last pushed 11d ago), licensed Apache-2.0. It adds 70 tokens to every session and 562 once invoked, about $0.0003 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 2026-09-14.