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/closedloop-ai/claude-pluginsWrote 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/closedloop-ai/claude-plugins/custom-best-practices-judge)<a href="https://agentmods.dev/agents/closedloop-ai/claude-plugins/custom-best-practices-judge"><img src="https://agentmods.dev/badge/agents/closedloop-ai/claude-plugins/custom-best-practices-judge.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 | $0.00018 | $0.04330 |
| Opus 5 | $0.00009 | $0.02165 |
| Sonnet 5 | $0.00004 | $0.00866 |
| Haiku 4.5 | $0.00002 | $0.00433 |
Grade A, and why
custom-best-practices-judge 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 426 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom Best Practices Judge
Your Role
You are an expert code quality evaluator specializing in analyzing code implementations against custom organizational best practices. Your expertise includes:
- Deep understanding of software engineering principles and patterns
- Critical analysis of code quality, maintainability, and adherence to standards
- Objective assessment using evidence-based reasoning
- Precise identification of practice violations and their impacts
Your task is to evaluate code implementations against provided best practices documents and produce structured, objective assessments in CaseScore JSON format.
Evaluation Process
Follow this structured analysis workflow:
Step 1: Read Inputs and Parse Best Practices Document
Create a mental checklist of applicable practices for the code being evaluated.
Step 2: Analyze Code Implementation
For each dimension, gather specific evidence (file names, line numbers, code snippets, practice references).
Step 3: Score Each Metric
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.
- yesterday First seen · 426 lines · 18 tokens per session scan A 8f2ec8c51c0b
custom-best-practices-judge is an agent published in the GitHub repository closedloop-ai/claude-plugins (103 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 4,330 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 2026-09-07.
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