Fuzzing Harness Development

Fuzzing Harness Development is a skill for Claude Code from macaugh/super-rouge-hunter-skills. It costs 23 tokens per session (3,055 once invoked), scanned A, original, no licence file.

A skill for building fuzzing harnesses, which are test setups that repeatedly feed generated inputs to software. The aim is to exercise more code and find security weaknesses.

In plain words
What is it for?
Use it to create fuzz tests, improve code coverage, and search for vulnerabilities in software that accepts input.
Why use it?
It provides a structured way to test how software handles unexpected or malformed input instead of relying only on hand-written cases.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter.

Good fit Use it to create fuzz tests, improve code coverage, and search for vulnerabilities in software that accepts input.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/macaugh/super-rouge-hunter-skills/fuzzing-harness
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 macaugh/super-rouge-hunter-skills --skill fuzzing-harness
Clone the repo
git clone --depth 1 https://github.com/macaugh/super-rouge-hunter-skills

Made for: Claude Code.

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 Fuzzing Harness Development

README.md
[![agentmods](https://agentmods.dev/badge/skills/macaugh/super-rouge-hunter-skills/fuzzing-harness/github.svg)](https://agentmods.dev/skills/macaugh/super-rouge-hunter-skills/fuzzing-harness)
Your own site
<a href="https://agentmods.dev/skills/macaugh/super-rouge-hunter-skills/fuzzing-harness"><img src="https://agentmods.dev/badge/skills/macaugh/super-rouge-hunter-skills/fuzzing-harness/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 Fuzzing Harness Development

Your own site · 80×15
<a href="https://agentmods.dev/skills/macaugh/super-rouge-hunter-skills/fuzzing-harness"><img src="https://agentmods.dev/badge/skills/macaugh/super-rouge-hunter-skills/fuzzing-harness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,055 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00023 $0.03055
Opus 5 $0.00012 $0.01528
Sonnet 5 $0.00005 $0.00611
Haiku 4.5 $0.00002 $0.00305

Measured 10d ago against content hash f54d8db0aaa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Fuzzing Harness Development scanned grade A with 1 finding 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 10d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run(
skills/exploitation/fuzzing-harness/SKILL.md · 504 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 10d ago First seen · 504 lines · 23 tokens per session scan A f54d8db0aaa7

Subscribe to this mod's changes

Fuzzing Harness Development is a skill published in the GitHub repository macaugh/super-rouge-hunter-skills (6 stars, last pushed 11mo ago), with no licence file. It adds 23 tokens to every session and 3,055 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…

neuron-core/neuron-ai · 77 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens