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 agentmods add skills/0dayinc/pwn/sastnpx skills add 0dayInc/pwn --skill sastgit clone --depth 1 https://github.com/0dayInc/pwnWrote 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/0dayinc/pwn/sast)<a href="https://agentmods.dev/skills/0dayinc/pwn/sast"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/sast.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00022 | $0.00344 |
| Opus 5 | $0.00011 | $0.00172 |
| Sonnet 5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
pwn-ai-agent-sast 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 6d 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.
What it actually says
PWN::AI::Agent::SAST
This module is an AI agent designed to analyze SAST antipatterns within source code repositories. It identifies common coding mistakes, security vulnerabilities, and areas for improvement in code quality. The agent generates an EPSS score for each identified issue, indicating the likelihood of exploitation. It provides detailed explanations of the issues found, along with recommendations for remediation and best practices to enhance code security and maintainability.
When to use
Call PWN::AI::Agent::SAST from pwn_eval when the task needs this module.
Do not reimplement it in shell.
Methodologies
Generated from pwn/ai/agent/sast.rb. Prefer the public class methods below.
Class methods take (opts = {}) and read opts.
How to call
PWN::AI::Agent::SAST.help
PWN::AI::Agent::SAST.analyze(opts)
Public methods
analyzeauthorshelp
Source
pwn/ai/agent/sast.rb
Verification
PWN::AI::Agent::SAST.respond_to?(:analyze) after the
module is loaded. Read the source for parameter names.
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.
- 6d ago First seen · 48 lines · 22 tokens per session scan A 133c48d938b0
pwn-ai-agent-sast is a skill published in the GitHub repository 0dayInc/pwn (78 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 344 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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