ai-20-model-inversion

ai-20-model-inversion is a skill for Claude Code, Codex from vigilantshield/Claude-HunterKit. It costs 23 tokens per session (284 once invoked), scanned A, original, no licence file.

A set of checks for studying what information a machine-learning model may reveal about its training data or users. It covers membership, reconstruction, attribute, and confidence analysis.

In plain words
What is it for?
Use it to test whether a model can reveal whether data was used for training, reconstruct parts of training data, infer user attributes, or expose useful confidence information.
Why use it?
It helps identify privacy risks that may not be visible from a model’s normal outputs.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to test whether a model can reveal whether data was used for training, reconstruct parts of training data, infer user attributes, or expose useful confidence information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vigilantshield/claude-hunterkit/ai-20-model-inversion
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 vigilantshield/Claude-HunterKit --skill ai-20-model-inversion
Clone the repo
git clone --depth 1 https://github.com/vigilantshield/Claude-HunterKit

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.

agentmods badge for ai-20-model-inversion

README.md
[![agentmods](https://agentmods.dev/badge/skills/vigilantshield/claude-hunterkit/ai-20-model-inversion/github.svg)](https://agentmods.dev/skills/vigilantshield/claude-hunterkit/ai-20-model-inversion)
Your own site
<a href="https://agentmods.dev/skills/vigilantshield/claude-hunterkit/ai-20-model-inversion"><img src="https://agentmods.dev/badge/skills/vigilantshield/claude-hunterkit/ai-20-model-inversion/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 ai-20-model-inversion

Your own site · 80×15
<a href="https://agentmods.dev/skills/vigilantshield/claude-hunterkit/ai-20-model-inversion"><img src="https://agentmods.dev/badge/skills/vigilantshield/claude-hunterkit/ai-20-model-inversion.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 284 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 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 $0.00284
Opus 5 $0.00012 $0.00142
Sonnet 5 $0.00005 $0.00057
Haiku 4.5 $0.00002 $0.00028

Measured 10d ago against content hash 3f7ec179cf04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ai-20-model-inversion 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 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.

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.

skills/ai/ai-20-model-inversion/SKILL.md · 54 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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. 10d ago First seen · 54 lines · 23 tokens per session scan A 3f7ec179cf04

Subscribe to this mod's changes

ai-20-model-inversion is a skill published in the GitHub repository vigilantshield/Claude-HunterKit (5 stars, last pushed 1mo ago), with no licence file. It adds 23 tokens to every session and 284 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 2026-08-31.

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