A security assessment skill for AI systems, including language models, classifiers, embedding models, and AI agents.

Use it to scan AI systems, map findings to MITRE ATLAS techniques, score risks, and choose protective controls.

It helps identify risks specific to AI, such as prompt injection, jailbreaks, poisoned data, leaked model information, and misuse of tools.

ai-security — Skill for Claude Code and Codex by humaisali

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 humaisali/Awesome-AI-Skills --skill ai-security

Clone the repo

git clone --depth 1 https://github.com/humaisali/Awesome-AI-Skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/humaisali/awesome-ai-skills/ai-security/github.svg)](https://agentmods.dev/skills/humaisali/awesome-ai-skills/ai-security)

Your own site

<a href="https://agentmods.dev/skills/humaisali/awesome-ai-skills/ai-security"><img src="https://agentmods.dev/badge/skills/humaisali/awesome-ai-skills/ai-security/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/humaisali/awesome-ai-skills/ai-security"><img src="https://agentmods.dev/badge/skills/humaisali/awesome-ai-skills/ai-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,761 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00048	$0.03761
Opus 5.5	$0.00019	$0.01504
Sonnet 5.5	$0.00010	$0.00752
Haiku 4.5	$0.00005	$0.00376

Measured 2mo ago against content hash dac7c1312e54, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-security 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/ai_threat_scanner.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to ai-security — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AI-ML & Data Science Skills/Agents & LLMs/ai-security/SKILL.md · 365 lines

How it starts

The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Security

AI and LLM security assessment skill for detecting prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, and agent tool abuse. This is NOT general application security (see security-pen-testing) or behavioral anomaly detection in infrastructure (see threat-detection) — this is about security assessment of AI/ML systems and LLM-based agents specifically.

Overview
AI Threat Scanner Tool
Prompt Injection Detection
Jailbreak Assessment
Model Inversion Risk
Data Poisoning Risk
Agent Tool Abuse
MITRE ATLAS Coverage
Guardrail Design Patterns
Workflows
Anti-Patterns
Cross-References

Overview

What This Skill Does

This skill provides the methodology and tooling for AI/ML security assessment — scanning for prompt injection signatures, scoring model inversion and data poisoning risk, mapping findings to MITRE ATLAS techniques, and recommending guardrail controls. It supports LLMs, classifiers, and embedding models.

Distinction from Other Security Skills

Skill	Focus	Approach
ai-security (this)	AI/ML system security	Specialized — LLM injection, model inversion, ATLAS mapping
security-pen-testing	Application vulnerabilities	General — OWASP Top 10, API security, dependency scanning
red-team	Adversary simulation	Offensive — kill-chain planning against infrastructure
threat-detection	Behavioral anomalies	Proactive — hunting in telemetry, not model inputs

Prerequisites

Access to test prompts or a prompt test file (JSON array). For gray-box and white-box access levels, written authorization is required before testing. The tool uses static signature matching and does not require live model access — it assesses inputs before they reach the model.

Read the full file on GitHub · 365 lines

Files

What ships with it

2 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.

2mo ago First seen · 365 lines · 48 tokens per session scan A dac7c1312e54

Subscribe to this mod's changes

ai-security is a skill published in the GitHub repository humaisali/Awesome-AI-Skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 3,761 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ai-security, differing in 2 lines, and is treated as a copy.