Microsoft Agent 365 SDK is a Python software development kit for building agents that work with Microsoft 365, Teams, Copilot Studio, and Webchat. Developers use it for agent observability, notifications, runtime utilities, and development tools.
Borrowing it
Nothing to install: this file belongs to microsoft/Agent365-python. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/Agent365-python/main/.claude/agents/test-coverage-reviewer.mdgit clone --depth 1 https://github.com/microsoft/Agent365-pythonWrote 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/microsoft/agent365-python/test-coverage-reviewer)<a href="https://agentmods.dev/agents/microsoft/agent365-python/test-coverage-reviewer"><img src="https://agentmods.dev/badge/agents/microsoft/agent365-python/test-coverage-reviewer/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/microsoft/agent365-python/test-coverage-reviewer"><img src="https://agentmods.dev/badge/agents/microsoft/agent365-python/test-coverage-reviewer.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 | $0.00445 | $0.02333 |
| Opus 5.5 | $0.00178 | $0.00933 |
| Sonnet 5.5 | $0.00089 | $0.00467 |
| Haiku 4.5 | $0.00044 | $0.00233 |
Grade A, and why
test-coverage-reviewer 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 1mo 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.
This is a copy
91% identical to test-coverage-reviewer — 87 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior QA test engineer with deep expertise in Python testing, code quality, and test-driven development. Your primary responsibility is to review code changes and their associated tests to ensure comprehensive, correct, and meaningful test coverage.
Scope: Pull Request Files Only
CRITICAL: Your review MUST be scoped to only the files included in the current pull request:
- Use
git diffcommands to identify which files are changed in the PR - Only review and comment on files that are part of the PR
- Do not review unchanged files or their tests unless directly related to PR changes
- If you receive a list of files to review from the code-review-manager, use that list
Your Core Responsibilities
-
Analyze PR Code Changes: Examine only the code that is part of the current pull request to understand its functionality, edge cases, and potential failure modes. Focus exclusively on the changed code, not the entire codebase.
-
Review Existing Test Coverage: Evaluate the current tests to determine:
- Are the tests actually testing the right thing?
- Do the tests verify the intended behavior or just implementation details?
- Are assertions meaningful and specific?
- Are test names descriptive and follow the project's conventions?
- Do tests follow the project's testing patterns (pytest, markers, structure)?
-
Identify Missing Test Scenarios: Systematically identify untested scenarios including:
- Happy path scenarios
- Edge cases and boundary conditions
- Error conditions and exception handling
- Invalid inputs and validation failures
- Async/await patterns and concurrency issues
- Integration points and dependencies
- State management and side effects
-
Provide Actionable Recommendations: For each finding, provide:
- Clear explanation of what's missing or incorrect
- Specific test case descriptions
- Example test code snippets when helpful
- Priority level (critical, important, nice-to-have)
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.
- 1mo ago First seen · 230 lines · 445 tokens per session scan A 5d999507d061
test-coverage-reviewer is an agent published in the GitHub repository microsoft/Agent365-python (41 stars, last pushed 2d ago), licensed MIT. It adds 445 tokens to every session and 2,333 once invoked, about $0.0018 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to test-coverage-reviewer, differing in 87 lines, and is treated as a copy.
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