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pwn-ffi

pwn-ffi is a skill for Claude Code from 0dayInc/pwn. It costs 16 tokens per session (411 once invoked), scanned A, original, MIT.

A bridge between Ruby code and installed native shared libraries, which are compiled system components used for fast signal processing and software-defined radio.

In plain words
What is it for?
Checking available native backends used by radio and signal-processing modules.
Why use it?
It lets Ruby check whether supported native libraries are available and use them without shell commands or compiling them during installation.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 86repo 2d ago A scan SkillSpector: pass 16 tokens original MIT

Good fit Checking available native backends used by radio and signal-processing modules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0dayinc/pwn/ffi
View source ↗ 0dayInc/pwn
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 0dayInc/pwn --skill ffi
Clone the repo
git clone --depth 1 https://github.com/0dayInc/pwn

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 pwn-ffi

README.md
[![agentmods](https://agentmods.dev/badge/skills/0dayinc/pwn/ffi/github.svg)](https://agentmods.dev/skills/0dayinc/pwn/ffi)
Your own site
<a href="https://agentmods.dev/skills/0dayinc/pwn/ffi"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/ffi/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 pwn-ffi

Your own site · 80×15
<a href="https://agentmods.dev/skills/0dayinc/pwn/ffi"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/ffi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 411 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00016 $0.00411
Opus 5.5 $0.00006 $0.00164
Sonnet 5.5 $0.00003 $0.00082
Haiku 4.5 $0.00002 $0.00041

Measured 2mo ago against content hash 745ce07df1d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pwn-ffi 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 2mo 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.

etc/default_skills/pwn/ffi/SKILL.md · 54 lines

What it actually says

PWN::FFI

This file, using the autoload directive loads FFI modules into memory only when they're needed. For more information, see: http://www.rubyinside.com/ruby-techniques-revealed-autoload-1652.html Bindings under this namespace are thin — they attach functions from already-installed system shared objects (libliquid, libvolk, libfftw3f, librtlsdr, libhackrf, libSoapySDR) so PWN::SDR::Decoder::* can run MHz-rate DSP inner loops in native/SIMD code while Ruby stays in charge of orchestration. Nothing here shells out; nothing here compiles at gem install time. If a .so is missing the module still loads and .available? returns false so callers can fall back to pure Ruby.

When to use

Call PWN::FFI from pwn_eval when the task needs this module. Do not reimplement it in shell.

Methodologies

Generated from pwn/ffi.rb. Prefer the public class methods below. Class methods take (opts = {}) and read opts.

How to call

PWN::FFI.help
PWN::FFI.available(opts)

Public methods

  • available
  • backends
  • authors
  • help
  • available?

References

  • references/urls.md — URLs from source

Source

pwn/ffi.rb

Verification

PWN::FFI.respond_to?(:available) after the module is loaded. Read the source for parameter names.

Files

What ships with it

9 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. 2mo ago First seen · 54 lines · 16 tokens per session scan A 745ce07df1d2

Subscribe to this mod's changes

pwn-ffi is a skill published in the GitHub repository 0dayInc/pwn (86 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 411 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 2026-09-03.

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