analyze-comparison-tests: Coding Workflows for AI Agents | OpenAgentSkill

Overview

Collects comparison test run artifacts and answers the user's questions based on the trajectories of each run. WHEN TO USE: collect comparison test artifacts

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Steps

Collect run artifacts

Execute the collect-artifacts script to download the test run artifacts.

The user must provide an JSON file to correlate each comparison test run with the GitHub Actions run. The script expects one input argument as the path to this JSON file. The JSON input is supposed to be the JSON output when queuing the comparison test runs using the npm run compare:run command.

cd tests/
npm run compare:collect -- input.json

The collect-artifacts script will download the test run artifacts to a directory named comparison-artifacts in the current working directory. Before executing the script, check if there is already such an directory. If so, skip executing the script and proceed to step 2.

Extract insights

The downloaded artifacts will have the following folder structure:

comparison-artifacts/
├── <branch-name>/
│   ├── <stimulus-name-1>/
│   │   ├── <model>-with-skill/
│   │   │   ├── agent-metadata-<date-string-1>.md
│   │   │   ├── agent-metadata-<date-string-2>.md
│   │   │   └── ...
│   │   └── <model>-without-skill/
│   │       ├── agent-metadata-<date-string-1>.md
│   │       ├── agent-metadata-<date-string-2>.md
│   │       └── ...
│   └── <stimulus-name-2>/
│       ├── <model>-with-skill/
│       │   └── agent-metadata-*.md
│       └── <model>-without-skill/
│           └── agent-metadata-*.md
└── <branch-name-2>/
    └── ...

Each <branch-name>/<stimulus-name>/<model>-with-skill or <branch-name>/<stimulus-name>/<model>-without-skill directory contains the test run trajectories for that stimulus and model on that branch, with or without skills. Each trajectory is a markdown file that records user prompts, tool call requests, tool execution results, assistant responses that happened during the run. It also contains statistics such as token usage and turns. Based on the trajectories, answer the user's questions for each test run. Generate a report following the report-template to show your answers.

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File metadata

name: analyze-comparison-tests
description: "Collects comparison test run artifacts and answers the user's questions based on the trajectories of each run. WHEN TO USE: collect comparison test artifacts"
license: MIT
metadata:
  author: Microsoft
  version: "1.0.0"

View original text

---
name: analyze-comparison-tests
description: "Collects comparison test run artifacts and answers the user's questions based on the trajectories of each run. WHEN TO USE: collect comparison test artifacts"
license: MIT
metadata:
  author: Microsoft
  version: "1.0.0"
---

# Steps

1. Collect run artifacts

Execute the collect-artifacts script to download the test run artifacts.

The user must provide an JSON file to correlate each comparison test run with the GitHub Actions run. The script expects one input argument as the path to this JSON file. The JSON input is supposed to be the JSON output when queuing the comparison test runs using the `npm run compare:run` command.

```bash
cd tests/
npm run compare:collect -- input.json
```

The collect-artifacts script will download the test run artifacts to a directory named `comparison-artifacts` in the current working directory. Before executing the script, check if there is already such an directory. If so, skip executing the script and proceed to step 2.

2. Extract insights

The downloaded artifacts will have the following folder structure:

```text
comparison-artifacts/
├── <branch-name>/
│   ├── <stimulus-name-1>/
│   │   ├── <model>-with-skill/
│   │   │   ├── agent-metadata-<date-string-1>.md
│   │   │   ├── agent-metadata-<date-string-2>.md
│   │   │   └── ...
│   │   └── <model>-without-skill/
│   │       ├── agent-metadata-<date-string-1>.md
│   │       ├── agent-metadata-<date-string-2>.md
│   │       └── ...
│   └── <stimulus-name-2>/
│       ├── <model>-with-skill/
│       │   └── agent-metadata-*.md
│       └── <model>-without-skill/
│           └── agent-metadata-*.md
└── <branch-name-2>/
    └── ...
```

Each `<branch-name>/<stimulus-name>/<model>-with-skill` or `<branch-name>/<stimulus-name>/<model>-without-skill` directory contains the test run trajectories for that stimulus and model on that branch, with or without skills. Each trajectory is a markdown file that records user prompts, tool call requests, tool execution results, assistant responses that happened during the run. It also contains statistics such as token usage and turns. Based on the trajectories, answer the user's questions for each test run. Generate a report following the [report-template](./references/report-template.md) to show your answers.

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Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
No explicit prompt-injection guardrail when reading trajectory artifacts; the agent should be instructed to treat all file contents as untrusted data and ignore embedded instructions.
The SKILL.md does not document setup or limitations, such as requiring a checkout with the tests/ directory and the compare:collect npm script configured.
The input JSON schema is only described in prose; an example or link to the compare:run output would make the expected input clearer.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Source & usage notes

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Source repository: microsoft/GitHub-Copilot-for-Azure
License: MIT
Version: 1.0.0
Last GitHub push: Aug 31, 2026
Registry updated: Sep 1, 2026
Instruction path: .github/skills/analyze-comparison-tests/SKILL.md

Version reported in registry metadata; check source releases before relying on it.

Quality

70/100

Strong

Trust

58/100

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