Look up four GitHub repositories by numeric id — the 1st, the 1,000th, the millionth and the billionth — and record eight fields of each in github_info.json, skipping any that does not exist. One of the four does not.
Task Prompt
In recent days, the total number of repos on GitHub has reached 1B, which is a milestone worth commemorating! I hope you can help me collect information about some special repos to record this historic moment.
I need you to collect information about the following milestone repos:
- The 1st repo (repo ID: 1)
- The 1,000th repo (repo ID: 1000)
- The 1,000,000th repo (repo ID: 1000000)
- The 1,000,000,000th repo (repo ID: 1000000000)
Please save this information to a file named github_info.json. If information for a certain repo doesn't exist or is inaccessible, please skip that repo in the output json file.
Format:
```json
{
"repo_id":{
"key_0": "xxxx",
"key_1": "xxxx"
}
}
```
For each repo, please collect the following information (use the keys below in the JSON file):
- repo_name (repository name)
- owner (owner username)
- star_count (number of stars, integer value)
- fork_count (number of forks, integer value)
- creation_time (creation time, ISO 8601 format with Z suffix, accurate to seconds)
- description (description)
- language (primary programming language)
- repo_url (repository URL)
VFS.md
---name: workspace-filesystemdescription: The virtual filesystem layout of this workspace.---# Virtual FilesystemYou work in a terminal over a virtual filesystem. Read files with shellcommands; service operations are listed in SKILL.md.| Path | Description ||---|---||`/workspace`| Agent workspace; current directory and home (`~`). ||`/tmp`| Temporary files. ||`/dev`| Device files: `null` and `zero` (mounted automatically). |
name
workspace-filesystem
description
The virtual filesystem layout of this workspace.
Virtual Filesystem
You work in a terminal over a virtual filesystem. Read files with shell commands; service operations are listed in SKILL.md.
Path
Description
/workspace
Agent workspace; current directory and home (~).
/tmp
Temporary files.
/dev
Device files: null and zero (mounted automatically).
SKILL.md
---name: workspace-commandsdescription: The shell commands and task tools available in this workspace.---# Available commandsStandard Unix commands, among them: cat head tail ls find grep wc sort uniq cut tr sed awk diff tee xargs jq unzip curlwith pipes, `>` redirection, `$(...)` substitution and `$'...'`.The task CLIs below are registered with this shell rather than installedas files; do not inspect them with `which`, `file` or `/usr/bin`.## fetchUse `fetch <command> '<JSON arguments>'`. Run `fetch <command> --help` toget more information.| Command | Arguments | Description ||---|---|---||`fetch html`|`{url: str, headers?: dict}`| Fetch a website and return the content as HTML — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request ||`fetch markdown`|`{url: str, headers?: dict}`| Fetch a website and return the content as Markdown — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request ||`fetch txt`|`{url: str, headers?: dict}`| Fetch a website, return the content as plain text (no HTML) — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request ||`fetch json`|`{url: str, headers?: dict}`| Fetch a JSON file from a URL — `url`: URL of the JSON to fetch; `headers`: Optional headers to include in the request |## web-searchUse `web-search <command> '<JSON arguments>'`. Run`web-search <command> --help` to get more information.| Command | Arguments | Description ||---|---|---||`web-search web-search`|`{query: str, num_results?: int = 10}`| Search the web using Google Serper API with concurrency control and retry mechanisms. Supports various Google search operators. — `query`: Search query with optional Google search operators.; `num_results`: Number of results to return, default 10, max 50 |## gitUse `git --help` for Git operations on workspace repositories.## python3Execute Python code directly under the agent workspace and return stdoutand stderr. Code can be pasted into a `.py` file and run with `python3`.Python cannot launch subprocesses or make direct network requests. Run thedocumented service commands directly in the shell. Use Python for localfile processing and generating JSON arguments.
name
workspace-commands
description
The shell commands and task tools available in this workspace.
Available commands
Standard Unix commands, among them:
cat head tail ls find grep wc sort uniq cut tr sed awkdiff tee xargs jq unzip curl
with pipes, > redirection, $(...) substitution and $'...'.
The task CLIs below are registered with this shell rather than installed as files; do not inspect them with which, file or /usr/bin.
fetch
Use fetch <command> '<JSON arguments>'. Run fetch <command> --help to get more information.
Command
Arguments
Description
fetch html
{url: str, headers?: dict}
Fetch a website and return the content as HTML — url: URL of the website to fetch; headers: Optional headers to include in the request
fetch markdown
{url: str, headers?: dict}
Fetch a website and return the content as Markdown — url: URL of the website to fetch; headers: Optional headers to include in the request
fetch txt
{url: str, headers?: dict}
Fetch a website, return the content as plain text (no HTML) — url: URL of the website to fetch; headers: Optional headers to include in the request
fetch json
{url: str, headers?: dict}
Fetch a JSON file from a URL — url: URL of the JSON to fetch; headers: Optional headers to include in the request
web-search
Use web-search <command> '<JSON arguments>'. Run web-search <command> --help to get more information.
Command
Arguments
Description
web-search web-search
{query: str, num_results?: int = 10}
Search the web using Google Serper API with concurrency control and retry mechanisms. Supports various Google search operators. — query: Search query with optional Google search operators.; num_results: Number of results to return, default 10, max 50
git
Use git --help for Git operations on workspace repositories.
python3
Execute Python code directly under the agent workspace and return stdout and stderr. Code can be pasted into a .py file and run with python3.
Python cannot launch subprocesses or make direct network requests. Run the documented service commands directly in the shell. Use Python for local file processing and generating JSON arguments.
VFS passed
5/5
MCP passed
5/5
Fewer tokens with VFS
4 of 5 models
Passes and mean tokens per run for each model, VFS vs MCP