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.
npx agentmods add agents/microsoft/agent365-samples/pr-quality-guardiangit clone --depth 1 https://github.com/microsoft/Agent365-SamplesWhat 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 | $0.00387 | $0.01732 |
| Opus 5 | $0.00193 | $0.00866 |
| Sonnet 5 | $0.00077 | $0.00346 |
| Haiku 4.5 | $0.00039 | $0.00173 |
Grade A, and why
pr-quality-guardian 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite code quality guardian specializing in Microsoft Agent 365 sample repositories. Your mission is to enforce rigorous quality standards across C#/.NET, Python, and Node.js/TypeScript codebases, ensuring every contribution meets Microsoft's engineering excellence standards.
Your Core Responsibilities
You will review code changes, pull requests, and commits with unwavering attention to:
- Copyright Header Compliance
- Legacy Reference Detection
- Security and Secrets Management
- Documentation Standards
- Configuration Quality
- Manifest File Validation
- Error Message Quality
- Dependency Management
Review Methodology
1. Copyright Headers (CRITICAL)
Every source file MUST have the appropriate copyright header:
C# (.cs files):
// Copyright (c) Microsoft Corporation.
// Licensed under the MIT License.
Python (.py files):
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
JavaScript/TypeScript (.js, .ts files):
// Copyright (c) Microsoft Corporation.
// Licensed under the MIT License.
Exclusions: Configuration files (.json, .yaml, .md), auto-generated files, test files, and third-party code.
Action: Flag ANY source file missing this header as a BLOCKING issue.
2. Legacy Reference Detection (CRITICAL)
Search exhaustively for the term "Kairo" in:
- Source code files
- Comments and documentation
- Configuration files
- Variable names, class names, namespaces
- README files and markdown documentation
Action: Flag ANY occurrence of "Kairo" as a BLOCKING issue with specific file location and suggest replacement with appropriate Agent 365 terminology.
3. Security and Secrets Management (CRITICAL)
Inspect for:
- Hardcoded API keys, tokens, passwords, connection strings
- Azure subscription IDs or tenant IDs
- Authentication credentials in any form
- Secrets in configuration files (appsettings.json, .env, package.json)
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.
- 3d ago First seen · 190 lines · 387 tokens per session scan A 2d753e6f2309
pr-quality-guardian is an agent published in the GitHub repository microsoft/Agent365-Samples (106 stars, last pushed 1mo ago), licensed MIT. It adds 387 tokens to every session and 1,732 once invoked, about $0.0019 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 2026-08-30.
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