Find agent skills by outcome

Among all pull requests merged in Q1 2024

which repository had the highest number? Provide the repository name.

-H

--header HTTP headers in 'Key: Value' format

- Use a more capable model (e.g.

claude-3-7-sonnet-20250219)

-a

--args Arguments for the command (e.g.

-u

--url MCP server URL

-e

--env Environment variables in KEY=VALUE format

-c

--command Command to run MCP server (e.g.

-m

--model Claude model to use (default: claude-3-7-sonnet-20250219)

-o

--output Output file for report (default: print to stdout)

usage: evaluation.py [-h] [-t {stdio

sse

-t

--transport Transport type: stdio

-h

--help Show help message

After creating your evaluation file

you can use the provided evaluation harness to test your MCP server.

Productivity

Remember to parallelize solving tasks to avoid running out of context

then accumulate all answers and make changes to the file at the end.

Productivity

2. Load each task instruction and in parallel using the MCP server and tools

identify the correct answer by attempting to solve the task YOURSELF

repo1

repo2

- The answer will change as issues are created

closed

- LLM might format differently (JSON array

comma-separated

- Requires filtering bugs by date

priority

Among all bugs reported in January 2024 that were marked as critical priority

which assignee resolved the highest percentage of their assigned bugs within 48 hours? Provide the assignee's username.

- Answer is a simple

verifiable value

PromptBeginner5 minmarkdownQuality: 33

Coding & Debugging

Look for pull requests that modified files in the /api directory and were merged between January 1 a...

2024. How many different contributors worked on these PRs?

- In all tool call requests

use the limit parameter to limit results (<10)

Writing & Content

After inspecting the content

create 10 human-readable questions: