Our review
This skill adds or updates repository metadata (description, tags, team) using an integrated Python script.
Strengths
- Automates repository metadata updates from a natural language description.
- Detects machine and OS context for personalized information.
- Stores metadata in a central configuration repository for future reference.
Limitations
- Requires the YW_CONFIG_REPO_PATH environment variable to be set.
- Depends on a Python script and an optional virtual environment.
- Designed for a personal workflow, not directly reusable without adaptation.
Use when documenting a repository (new or existing) with a structured description and tags.
Avoid if you don't need persistent metadata or if the environment is not configured.
Security analysis
CautionThe skill uses bash, pip, and arbitrary Python script execution, which introduces risk if the skill's script or dependencies are malicious. However, there is no indication of intentional harm or data exfiltration; the instructions are transparent and focused on legitimate metadata management.
- •Runs Python script with user-supplied arguments (description, tags), which could be leveraged if the script is compromised.
- •Creates Python virtual environment and installs packages via pip, potentially downloading and executing untrusted code from a requirements.txt within the plugin directory.
- •Executes bash commands for environment detection and script invocation, though the operations are standard and not destructive.
Examples
Hey, this repo contains Dynamics solution packages. We need Core-Platform approval for PRs.This repository is my personal blog built with Hugo. Tags: blog, hugo, static-site.name: describe-repo description: Add or update repository metadata and description version: 1.0 parameters:
- name: description type: string description: Description of the repository required: true
- name: tags type: array description: Tags for categorizing the repository optional: true agent: memory-manager
Describe Repository
This skill adds or updates metadata for the current repository.
Instructions for Agent
1. Identify Repository
- Detect current repository path:
git rev-parse --show-toplevel - Extract repository name from path
- Get remote URL:
git remote get-url origin - Determine category (work/personal) based on remote URL:
- Contains "dev.azure.com" or company domain → work
- Contains "github.com/yoshiwatanabe" → personal
2. Collect Metadata
From user's description, extract:
- Main description: What the repository contains/does
- Team information: If mentioned
- Approval process: If mentioned (e.g., "needs Core-Platform approval")
- Special notes: Any important context
- Tags: From user parameter or inferred from description
Get current machine and OS context:
- Machine:
hostname(lowercase) - OS: Windows/WSL/Linux
3. Call Python Script
Get configuration repository path:
- Read
YW_CONFIG_REPO_PATHenvironment variable (required) - If not set, return error: "Please set YW_CONFIG_REPO_PATH in ~/.claude/settings.json. See installation guide for WSL path requirements."
Execute the script from plugin directory:
cd "${CLAUDE_PLUGIN_ROOT}"
# Detect Python command (python3 on Linux, python on Windows)
PYTHON_CMD=$(command -v python3 || command -v python)
# Try to use venv if available, create if needed, skip if venv creation fails
if [ -d "venv" ]; then
# Activate venv (cross-platform)
if [ -f "venv/bin/activate" ]; then
source venv/bin/activate
elif [ -f "venv/Scripts/activate" ]; then
source venv/Scripts/activate
fi
elif $PYTHON_CMD -m venv venv 2>/dev/null; then
echo "Setting up Python environment (first time)..."
if [ -f "venv/bin/activate" ]; then
source venv/bin/activate
elif [ -f "venv/Scripts/activate" ]; then
source venv/Scripts/activate
fi
pip install -r requirements.txt
else
echo "Note: Using system Python (venv creation not available)"
fi
$PYTHON_CMD scripts/manage_memory.py describe-repo \
--config-repo "$YW_CONFIG_REPO_PATH" \
--repo-path {repo_path} \
--description "{description}" \
--tags "{tags}" \
--machine {machine} \
--os {os}
4. Handle Result
Parse the JSON output:
{
"success": true,
"repo_slug": "dynamics-solutions",
"filepath": "memory/repositories/dynamics-solutions.md"
}
Return confirmation to the user:
Repository metadata updated!
- Repository: dynamics-solutions
- Description: [user's description]
- Tags: [tags if any]
- Synced to remote: Yes
Example Usage
User: "Hey, this repo contains Dynamics solution packages. We need Core-Platform approval for PRs."
Agent:
- Identifies current repository
- Extracts key information from description
- Calls manage_memory.py describe-repo
- Confirms metadata was saved
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