The main and dev branches of a LUFFY fork differ in two Python files. Extract every TODO from the .py files on dev, apply only the additions, removals and line-number moves that main-to-dev introduced, and commit the updated Complete TODO List section of README.md back to dev.
In branch dev of **my** LUFFY repo, I have written some new code that I have implemented based on TODO. Please search all .py files and extract the complete TODO project information, and update the TODO section, i.e. remove the done ones and add the new ones, accordingly following the existing format (file path lexicographical order takes precedence, and line numbers within the same file must increase). Use the existing README TODO list as the baseline, and only apply TODO additions, removals, and line updates introduced by the main-to-dev changes. Please keep the original section title "### 📝 Complete TODO List" unchanged in the whole process. After you do this, please update the readme file on the remote repo. If necessary, you can use the github token under `.github_token`.
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). ||`/repo/main`| GitHub repository `integ-user/LUFFY`, ref `main`, read-only; change it with the `gh` CLI. ||`/repo/dev`| GitHub repository `integ-user/LUFFY`, ref `dev`, read-only; change it with the `gh` CLI. |
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).
/repo/main
GitHub repository integ-user/LUFFY, ref main, read-only; change it with the gh CLI.
/repo/dev
GitHub repository integ-user/LUFFY, ref dev, read-only; change it with the gh CLI.
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`.## ghUse `gh --help` for the registered GitHub commands. Repository, issue, pull-request, release and API operations use the same GitHub service as upstream MCP. Use `gh <command> --help` for arguments and output options.## 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.
gh
Use gh --help for the registered GitHub commands. Repository, issue, pull-request, release and API operations use the same GitHub service as upstream MCP. Use gh <command> --help for arguments and output options.
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
3/5
Fewer tokens with VFS
4 of 5 models
Passes and mean tokens per run for each model, VFS vs MCP