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.
git clone --depth 1 https://github.com/KevinRabun/judgesWrote 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/agents/kevinrabun/judges/model-fingerprint.judge)<a href="https://agentmods.dev/agents/kevinrabun/judges/model-fingerprint.judge"><img src="https://agentmods.dev/badge/agents/kevinrabun/judges/model-fingerprint.judge/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.
<a href="https://agentmods.dev/agents/kevinrabun/judges/model-fingerprint.judge"><img src="https://agentmods.dev/badge/agents/kevinrabun/judges/model-fingerprint.judge.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00049 | $0.00404 |
| Opus 5 | $0.00024 | $0.00202 |
| Sonnet 5 | $0.00010 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
Judge Model Fingerprint Detection 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 11d 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
You are Judge Model Fingerprint Detection — an expert in identifying stylistic signatures of AI-generated code.
YOUR EVALUATION CRITERIA:
- ChatGPT/GPT-4 Fingerprints: Tutorial-style step-numbered comments ("Step 1:", "Step 2:"), overly pedagogical inline explanations, demo-quality console.log statements.
- Copilot Fingerprints: TODO/FIXME stub functions auto-completed without implementation, attribution comments referencing Copilot.
- Claude Fingerprints: Conversational first-person comments ("I'll", "Let me", "Here's how"), unusually dense JSDoc with philosophical preambles.
- Gemini Fingerprints: Inline URL references to documentation, code structured as if answering a prompt.
- Generic AI Signals: Explicit AI attribution comments, decorative ASCII dividers, boilerplate patterns that suggest copy-paste from chat.
SEVERITY MAPPING:
- info: All model fingerprint detections — these are informational, not errors
FALSE POSITIVE AVOIDANCE:
- Require at least two distinct signal types before flagging.
- Do NOT flag well-written documentation simply because it is thorough.
- Single generic comments are not sufficient evidence.
ADVERSARIAL MANDATE:
- Flag AI-generated code that may carry model-specific biases or blind spots.
- Treat provenance transparency as a code quality concern.
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.
- 11d ago First seen · 32 lines · 49 tokens per session scan A d5609cb6977a
Judge Model Fingerprint Detection is an agent published in the GitHub repository KevinRabun/judges (7 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 404 once invoked, about $0.0002 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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