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.
npx skills add RedHatProductSecurity/prodsec-skills --skill libfuzzergit clone --depth 1 https://github.com/RedHatProductSecurity/prodsec-skillsWrote 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.
[](https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/libfuzzer)<a href="https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/libfuzzer"><img src="https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/libfuzzer/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.
<a href="https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/libfuzzer"><img src="https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/libfuzzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.06332 |
| Opus 5 | $0.00017 | $0.03166 |
| Sonnet 5 | $0.00007 | $0.01266 |
| Haiku 4.5 | $0.00003 | $0.00633 |
Grade A, and why
libfuzzer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
man curl | grep -oP '^\s*(--|-)\K\S+' | sed 's/[,.]$//' | sed 's/^/"&/; s/$/&"/' | sort -u > man.dict Copies of this mod
1 near-identical copy found in the catalogue:
- libfuzzer — 98% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 799 lines — stays where its author put it; the contents beside it link to each section on GitHub.
libFuzzer
libFuzzer is an in-process, coverage-guided fuzzer that is part of the LLVM project. It's the recommended starting point for fuzzing C/C++ projects due to its simplicity and integration with the LLVM toolchain. While libFuzzer has been in maintenance-only mode since late 2022, it is easier to install and use than its alternatives, has wide support, and will be maintained for the foreseeable future.
When to Use
| Fuzzer | Best For | Complexity |
|---|---|---|
| libFuzzer | Quick setup, single-project fuzzing | Low |
| AFL++ | Multi-core fuzzing, diverse mutations | Medium |
| LibAFL | Custom fuzzers, research projects | High |
| Honggfuzz | Hardware-based coverage | Medium |
Choose libFuzzer when:
- You need a simple, quick setup for C/C++ code
- Project uses Clang for compilation
- Single-core fuzzing is sufficient initially
- Transitioning to AFL++ later is an option (harnesses are compatible)
Note: Fuzzing harnesses written for libFuzzer are compatible with AFL++, making it easy to transition if you need more advanced features like better multi-core support.
Quick Start
#include <stdint.h>
#include <stddef.h>
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
// Validate input if needed
if (size < 1) return 0;
// Call your target function with fuzzer-provided data
my_target_function(data, size);
return 0;
}
Compile and run:
clang++ -fsanitize=fuzzer,address -g -O2 harness.cc target.cc -o fuzz
mkdir corpus/
./fuzz corpus/
Installation
Prerequisites
- LLVM/Clang compiler (includes libFuzzer)
- LLVM tools for coverage analysis (optional)
Linux (Ubuntu/Debian)
apt install clang llvm
For the latest LLVM version:
# Add LLVM repository from apt.llvm.org
# Then install specific version, e.g.:
apt install clang-18 llvm-18
macOS
# Using Homebrew
brew install llvm
# Or using Nix
nix-env -i clang
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.
- 5d ago First seen · 799 lines · 34 tokens per session scan A 8297115a179f
libfuzzer is a skill published in the GitHub repository RedHatProductSecurity/prodsec-skills (52 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 6,332 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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