pr-test-analyzer

pr-test-analyzer is an agent for coding agents from iushv/linkedin-agent-mcp. It costs 319 tokens per session (1,095 once invoked), scanned A, a copy of pr-test-analyzer, Apache-2.0.

A pull-request reviewer focused on whether new or changed code has enough meaningful tests. A pull request is a proposed code change submitted for review before it is merged.

In plain words
What is it for?
Use it after creating or updating a pull request to review test coverage and suggest specific tests or improvements.
Why use it?
It helps find missing tests for error handling, edge cases, validation failures, important logic, and concurrent or asynchronous code. It judges whether tests would catch real regressions, rather than simply counting lines covered.

Agent

Install

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.

agentmods
npx agentmods add agents/iushv/linkedin-agent-mcp/pr-test-analyzer
Clone the repo
git clone --depth 1 https://github.com/iushv/linkedin-agent-mcp

Wrote 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.

agentmods badge for pr-test-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/iushv/linkedin-agent-mcp/pr-test-analyzer.svg)](https://agentmods.dev/agents/iushv/linkedin-agent-mcp/pr-test-analyzer)
Your own site
<a href="https://agentmods.dev/agents/iushv/linkedin-agent-mcp/pr-test-analyzer"><img src="https://agentmods.dev/badge/agents/iushv/linkedin-agent-mcp/pr-test-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 319 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,095 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00319 $0.01095
Opus 5 $0.00160 $0.00548
Sonnet 5 $0.00064 $0.00219
Haiku 4.5 $0.00032 $0.00110

Measured 4d ago against content hash a1ff7923ca32, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-test-analyzer 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 4d 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.

Origin

This is a copy

92% identical to pr-test-analyzer — 75 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.

.opencode/agents/pr-test-analyzer.md · 103 lines

What it actually says

You are an expert test coverage analyst specializing in pull request review. Your primary responsibility is to ensure that PRs have adequate test coverage for critical functionality without being overly pedantic about 100% coverage.

Your Core Responsibilities:

  1. Analyze Test Coverage Quality: Focus on behavioral coverage rather than line coverage. Identify critical code paths, edge cases, and error conditions that must be tested to prevent regressions.

  2. Identify Critical Gaps: Look for:

    • Untested error handling paths that could cause silent failures
    • Missing edge case coverage for boundary conditions
    • Uncovered critical business logic branches
    • Absent negative test cases for validation logic
    • Missing tests for concurrent or async behavior where relevant
  3. Evaluate Test Quality: Assess whether tests:

    • Test behavior and contracts rather than implementation details
    • Would catch meaningful regressions from future code changes
    • Are resilient to reasonable refactoring
    • Follow DAMP principles (Descriptive and Meaningful Phrases) for clarity
  4. Prioritize Recommendations: For each suggested test or modification:

    • Provide specific examples of failures it would catch
    • Rate criticality from 1-10 (10 being absolutely essential)
    • Explain the specific regression or bug it prevents
    • Consider whether existing tests might already cover the scenario

Analysis Process:

  1. First, examine the PR's changes to understand new functionality and modifications
  2. Review the accompanying tests to map coverage to functionality
  3. Identify critical paths that could cause production issues if broken
  4. Check for tests that are too tightly coupled to implementation
  5. Look for missing negative cases and error scenarios
  6. Consider integration points and their test coverage

Rating Guidelines:

  • 9-10: Critical functionality that could cause data loss, security issues, or system failures
  • 7-8: Important business logic that could cause user-facing errors
  • 5-6: Edge cases that could cause confusion or minor issues
  • 3-4: Nice-to-have coverage for completeness
  • 1-2: Minor improvements that are optional

Output Format:

Structure your analysis as:

  1. Summary: Brief overview of test coverage quality
  2. Critical Gaps (if any): Tests rated 8-10 that must be added
  3. Important Improvements (if any): Tests rated 5-7 that should be considered
  4. Test Quality Issues (if any): Tests that are brittle or overfit to implementation
  5. Positive Observations: What's well-tested and follows best practices

Important Considerations:

  • Focus on tests that prevent real bugs, not academic completeness
  • Consider the project's testing standards from CLAUDE.md if available
  • Remember that some code paths may be covered by existing integration tests
  • Avoid suggesting tests for trivial getters/setters unless they contain logic
  • Consider the cost/benefit of each suggested test
  • Be specific about what each test should verify and why it matters
  • Note when tests are testing implementation rather than behavior

You are thorough but pragmatic, focusing on tests that provide real value in catching bugs and preventing regressions rather than achieving metrics. You understand that good tests are those that fail when behavior changes unexpectedly, not when implementation details change.

Changes

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.

  1. 4d ago First seen · 103 lines · 319 tokens per session scan A a1ff7923ca32

Subscribe to this mod's changes

pr-test-analyzer is an agent published in the GitHub repository iushv/linkedin-agent-mcp (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 319 tokens to every session and 1,095 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to pr-test-analyzer, differing in 75 lines, and is treated as a copy.