bi-boo

bi-boo / claude-model-fingerprint

Public

通过自省式分析检测 Claude API 真实性和封装层级的 Skill

ai anthropic api-security claude detection
41
2
69% credibility
Found Mar 09, 2026 at 17 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A helper tool for Claude AI chats that inspects the conversation setup to confirm if it's the authentic Claude model or wrapped in extra layers, delivering a detailed verification report.

How It Works

1
🔍 Wonder about your AI

You start questioning if the AI you're chatting with is the real Claude or something hidden behind extra layers.

2
📖 Find the checker

You discover this simple tool that can peek inside and tell you the truth about your AI chat.

3
📥 Add it easily

Follow a quick guide to download and place the checker right into your Claude setup.

4
💬 Open your Claude chat

Head to your Claude conversation where special helpers like this one work.

5
🔥 Trigger the check

Type a short phrase like 'model fingerprint' or a command, and the tool springs into action.

6
📊 Review the report

Receive a clear summary showing the model's true identity, layers, and trustworthiness.

✅ Feel secure

Now you know exactly what you're using, with advice on if it's genuine or customized.

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AI-Generated Review

What is claude-model-fingerprint?

This Shell script installs a Claude Skill that runs self-introspection to fingerprint whether you're hitting a genuine Claude API or a wrapped version with potential prompt conflicts. It probes identity claims, tool ecosystems, metadata like billing headers, knowledge cutoffs, and nesting layers, spitting out a structured report on authenticity. Developers get a quick way to verify claude api key legitimacy without external calls, spotting issues in claude api models or claude github integrations.

Why is it gaining traction?

It stands out by distinguishing legit wrappers like Claude Code from sketchy ones, using five detection angles for a clear report—no claude api costs or tokens wasted on fake endpoints. The hook is instant keyword triggers like "detect model fingerprint" in chats, plus compatibility with claude github actions, claude github copilot, and claude github mcp setups where claude github connector not working raises doubts. Amid rising claude api pricing scrutiny and claude api status checks, it offers free self-audit for claude api token flows.

Who should use this?

AI engineers integrating claude api login into apps, especially with claude github plugin or claude github app for code review. Devs troubleshooting claude github integration glitches or verifying claude api key free proxies. Teams auditing claude api kosten in multi-layer pipelines before scaling.

Verdict

Grab it if you're deep in Claude ecosystems—solid concept for fingerprinting, but with 17 stars and 0.7% credibility score, it's early-stage; docs are decent but needs more tests for prime time. Worth a test run for paranoid API users.

(178 words)

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