Dignified Python Standards
docling-project/docling
Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.
Identify and report code smells indicating poor design or maintainability issues in Python code, including duplicate code, magic numbers, hardcoded values, God classes, feature envy, inappropriate…
$ npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArabelaTso/Skills-4-SE code-smell-detector --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/code-smell-detector .claude/skills/code-smell-detector && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "code-smell-detector" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-smell-detector into .claude/skills/code-smell-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-smell-detector", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-smell-detectorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArabelaTso/Skills-4-SE code-smell-detector --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/code-smell-detector .agents/skills/code-smell-detector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-smell-detector" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-smell-detector into .agents/skills/code-smell-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-smell-detector", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArabelaTso/Skills-4-SE code-smell-detector --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/code-smell-detector .cursor/skills/code-smell-detector && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "code-smell-detector" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-smell-detector into .cursor/skills/code-smell-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-smell-detector", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ArabelaTso/Skills-4-SE.git --path skills/code-smell-detector--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArabelaTso/Skills-4-SE code-smell-detector --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/code-smell-detector .gemini/skills/code-smell-detector && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "code-smell-detector" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-smell-detector into .gemini/skills/code-smell-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-smell-detector", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ArabelaTso/Skills-4-SE code-smell-detectorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/code-smell-detector .github/skills/code-smell-detector && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "code-smell-detector" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-smell-detector into .github/skills/code-smell-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-smell-detector", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ArabelaTso/Skills-4-SE code-smell-detector --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/code-smell-detector .opencode/skills/code-smell-detector && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "code-smell-detector" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-smell-detector into .opencode/skills/code-smell-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-smell-detector", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
code-smell-detectorIdentify and report code smells indicating poor design or maintainability issues in Python code, including duplicate code, magic numbers, hardcoded values, God classes, feature envy, inappropriate…
Code Smell Detector is an agent skill from ArabelaTso/Skills-4-SE. Identify and report code smells indicating poor design or maintainability issues in Python code, including duplicate code, magic numbers, hardcoded values, God classes, feature envy, inappropriate intimacy, data clumps, primitive obsession, and long parameter lists. Use when conducting code quality audits, preparing for refactoring, improving codebase maintainability, or performing design reviews. Produces markdown reports with severity ratings, locations, descriptions, and specific refactoring recommendations…
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/refactoring-patterns.md`, `references/smell-patterns.md` and `scripts/detect_smells.py`).
It sits in Development, covering Refactoring and Code quality. It works with Python. The repository describes itself as: A curated list of 180+ useful Claude Skills for Software Engineering and resources for customizing AI for SE workflows. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4f38503. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Code Smell Detector loads about 3.9k tokens when it runs, and up to ~9.6k if it reads all its reference files. Until then it costs about 178 tokens; SKILL.md has 1,037 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from ArabelaTso/Skills-4-SE at commit 4f38503, republished under its Apache-2.0 licence (© ArabelaTso). 1,037 words, ~3,934 tokens.
.claude/skills/code-smell-detector/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Identify code quality and design smells in Python codebases, then provide specific refactoring recommendations to improve maintainability and design.
Define what to analyze:
Questions to ask:
Determine scope:
# Check project structure
ls -la
# Count Python files
find . -name "*.py" | wc -l
# Identify large files (potential smells)
find . -name "*.py" -exec wc -l {} + | sort -rn | head -10Use multiple detection strategies.
Use the bundled script for AST-based analysis:
# Scan entire project
python scripts/detect_smells.py /path/to/project
# Exclude specific directories
python scripts/detect_smells.py /path/to/project venv,tests,docsWhat it detects:
Read the code to identify design smells. See smell-patterns.md for comprehensive catalog.
Look for:
Code Quality Smells:
Design Smells:
Search patterns:
# Find long files (potential large classes)
find . -name "*.py" -exec wc -l {} + | awk '$1 > 300'
# Find magic numbers (basic pattern)
grep -r "[^0-9]\d\{3,\}" --include="*.py" .
# Find hardcoded paths
grep -r '"/.*/"' --include="*.py" .
# Find commented code
grep -r "^[ ]*#.*def \|^[ ]*#.*class " --include="*.py" .radon - Complexity metrics:
# Install
pip install radon
# Check cyclomatic complexity
radon cc /path/to/project -a
# Maintainability index
radon mi /path/to/project
# Show only complex functions
radon cc /path/to/project -ncpylint - Code quality:
pip install pylint
# Check for code smells
pylint /path/to/project --disable=C0111 # Disable docstring warningsOrganize findings by severity and type.
See smell-patterns.md for detailed patterns.
Immediate attention needed:
Should refactor soon:
Nice to improve:
For each smell, determine appropriate refactoring.
See refactoring-patterns.md for detailed examples.
Common mappings:
| Smell | Refactoring |
|---|---|
| God class | Extract Class, Extract Service |
| Feature envy | Move Method |
| Duplicate code | Extract Method, Pull Up Method |
| Data clumps | Introduce Parameter Object |
| Magic numbers | Replace with Symbolic Constant |
| Long parameter list | Introduce Parameter Object |
| Primitive obsession | Replace Data Value with Object |
| Inappropriate intimacy | Move Method, Hide Delegate |
| Shotgun surgery | Move Method, Inline Class |
| Lazy class | Inline Class, Collapse Hierarchy |
Create a structured markdown report with specific refactoring recommendations.
Project: [Project Name] Analyzed: [Date] Scope: [Directories analyzed] Excluded: [Excluded directories]
Total: N code smells detected
Location: src/services/user_manager.py:15
Class: UserManager
Description: Class has 28 methods handling multiple unrelated responsibilities (user CRUD, authentication, email, logging, analytics).
Impact:
Refactoring: Extract Class
Recommendation:
Split into focused classes by responsibility:
# Before: God class with 28 methods
class UserManager:
def create_user(self, data): pass
def update_user(self, user_id, data): pass
def delete_user(self, user_id): pass
def authenticate(self, username, password): pass
def hash_password(self, password): pass
def send_welcome_email(self, user): pass
def send_password_reset(self, user): pass
def log_activity(self, user, action): pass
def get_statistics(self, user): pass
# ... 19 more methods
# After: Split by responsibility
class UserRepository:
"""Handles user persistence."""
def create(self, data): pass
def update(self, user_id, data): pass
def delete(self, user_id): pass
def find_by_id(self, user_id): pass
class UserAuthService:
"""Handles authentication."""
def authenticate(self, username, password): pass
def hash_password(self, password): pass
def validate_password_strength(self, password): pass
class UserNotificationService:
"""Handles user notifications."""
def send_welcome_email(self, user): pass
def send_password_reset(self, user): pass
class UserAnalyticsService:
"""Handles user analytics."""
def log_activity(self, user, action): pass
def get_statistics(self, user): passPriority: High - Refactor within 1-2 sprints
Location: src/models/order.py:45
Method: Order.calculate_total()
Description: Method uses customer features heavily (discount_rate, is_premium, shipping_address) rather than its own class features.
Impact:
Refactoring: Move Method
Recommendation:
Move calculation logic to Customer class:
# Before: Feature envy
class Order:
def calculate_total(self):
discount = self.customer.get_discount_rate()
is_premium = self.customer.is_premium_member()
address = self.customer.get_shipping_address()
total = sum(item.price for item in self.items)
if is_premium:
total *= (1 - discount)
if address.country != 'US':
total += 50
return total
# After: Move to appropriate class
class Customer:
def calculate_order_total(self, items):
total = sum(item.price for item in items)
if self.is_premium_member():
total *= (1 - self.get_discount_rate())
if self.shipping_address.country != 'US':
total += 50
return total
class Order:
def calculate_total(self):
return self.customer.calculate_order_total(self.items)Priority: High - Refactor within 2 weeks
Locations:
src/validators/user_validator.py:23-35src/validators/profile_validator.py:45-57Description: Identical email and name validation logic appears in two validators.
Impact:
Refactoring: Extract Method
Recommendation:
Extract common validation into shared utility:
# Before: Duplicate code
class UserValidator:
def validate(self, data):
if not data.get('email') or '@' not in data['email']:
raise ValueError("Invalid email")
if not data.get('name') or len(data['name']) < 2:
raise ValueError("Invalid name")
# ... more validation
class ProfileValidator:
def validate(self, data):
if not data.get('email') or '@' not in data['email']:
raise ValueError("Invalid email")
if not data.get('name') or len(data['name']) < 2:
raise ValueError("Invalid name")
# ... more validation
# After: Extract common validation
class ValidationHelpers:
@staticmethod
def validate_email(email):
if not email or '@' not in email:
raise ValueError("Invalid email")
@staticmethod
def validate_name(name):
if not name or len(name) < 2:
raise ValueError("Invalid name")
class UserValidator:
def validate(self, data):
ValidationHelpers.validate_email(data.get('email'))
ValidationHelpers.validate_name(data.get('name'))
# ... more validation
class ProfileValidator:
def validate(self, data):
ValidationHelpers.validate_email(data.get('email'))
ValidationHelpers.validate_name(data.get('name'))
# ... more validationPriority: Medium - Refactor within month
Locations:
src/services/email_service.py:12 (6 parameters)src/services/sms_service.py:23 (6 parameters)src/services/notification_service.py:34 (6 parameters)Description: Same parameter group (name, email, phone, address_street, address_city, address_zip) appears in multiple methods.
Impact:
Refactoring: Introduce Parameter Object
Recommendation:
Create ContactInfo value object:
# Before: Data clumps
def send_email(name, email, phone, street, city, zip_code):
pass
def send_sms(name, email, phone, street, city, zip_code):
pass
def send_notification(name, email, phone, street, city, zip_code):
pass
# After: Parameter object
from dataclasses import dataclass
@dataclass
class Address:
street: str
city: str
zip_code: str
@dataclass
class ContactInfo:
name: str
email: str
phone: str
address: Address
def send_email(contact: ContactInfo):
pass
def send_sms(contact: ContactInfo):
pass
def send_notification(contact: ContactInfo):
passPriority: Medium - Refactor within month
Location: src/billing/calculator.py:67-78
Description: Multiple unexplained numeric literals (1000, 0.15, 500, 0.10, 0.05).
Impact:
Refactoring: Replace Magic Number with Symbolic Constant
Recommendation:
Use named constants:
# Before: Magic numbers
def calculate_discount(price):
if price > 1000:
return price * 0.15
elif price > 500:
return price * 0.10
else:
return price * 0.05
# After: Named constants
BULK_ORDER_THRESHOLD = 1000
LARGE_ORDER_THRESHOLD = 500
BULK_DISCOUNT_RATE = 0.15
LARGE_DISCOUNT_RATE = 0.10
STANDARD_DISCOUNT_RATE = 0.05
def calculate_discount(price):
if price > BULK_ORDER_THRESHOLD:
return price * BULK_DISCOUNT_RATE
elif price > LARGE_ORDER_THRESHOLD:
return price * LARGE_DISCOUNT_RATE
else:
return price * STANDARD_DISCOUNT_RATEPriority: Low - Refactor when touching this code
Add to CI/CD:
# Complexity checks
radon cc src/ -nc # Fail on complex functions
# Code quality
pylint src/ --fail-under=8.0Code review checklist:
Regular audits:
Share report with team and discuss refactoring priorities.
Presentation tips:
Get team input:
Start with obvious smells:
Consider context:
Prioritize by impact:
Refactor incrementally:
Use tools as guides:
Not every pattern is a smell:
Long methods may be acceptable:
Large classes may be justified:
Magic numbers may be OK:
Consider trade-offs:
For comprehensive smell patterns and refactoring techniques:
© ArabelaTso, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/code-smell-detector of ArabelaTso/Skills-4-SE.
Open the folder on GitHubat commit 4f38503
Code Smell Detector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Code Smell Detector this skillArabelaTso/Skills-4-SE | 253 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Dignified Python Standardsdocling-project/docling | 69k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Odoo Workflowunclecatvn/agent-skills | 143 | — | ~4.7k | Automated safety check: Pass | MIT | |
| Code Refactor Masteryennanliu/CS_basics | 142 | — | ~3.3k | Automated safety check: Pass | None | |
| Clean Testsertugrul-dmr/clean-code-skills | 196 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Code Revieweralirezarezvani/claude-skills | 28k | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
docling-project/docling
Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.
unclecatvn/agent-skills
Mandatory pre-code gate and definition-of-done for ANY Odoo change (add field, override method, inherit view/xpath, OWL/JS patch, wizard, cron, controller, report, security, migration, bug fix…
yennanliu/CS_basics
Code refactoring expert for improving code quality, readability, maintainability, and performance.
ertugrul-dmr/clean-code-skills
A skill your agent uses when writing, fixing, editing, or refactoring Python tests.
alirezarezvani/claude-skills
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter.
LeoYeAI/openclaw-master-skills
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin.
ArabelaTso/Skills-4-SE
Generate prioritized CVE watchlists and actionable security recommendations for repositories.
ArabelaTso/Skills-4-SE
Automatically migrate Python web applications between frameworks (Flask → FastAPI, Django → FastAPI).
ArabelaTso/Skills-4-SE
Generate test cases using metamorphic testing by applying transformations based on metamorphic properties.
ArabelaTso/Skills-4-SE
Instruments programs to capture execution traces specifically for reproducing reported bugs, enabling consistent replay and diagnosis of failures.
ArabelaTso/Skills-4-SE
Automatically migrate Spring MVC applications to Spring Boot.
ArabelaTso/Skills-4-SE
Instrument programs (Python, C/C++, Java) to capture snapshots of key program states at runtime, including variables, memory, and call stacks.
Works with
Categories
Identify and report code smells indicating poor design or maintainability issues in Python code, including duplicate code, magic numbers, hardcoded values, God classes, feature envy, inappropriate…. Code Smell Detector is an agent skill from ArabelaTso/Skills-4-SE. Identify and report code smells indicating poor design or maintainability issues in Python code, including duplicate code, magic numbers, hardcoded values, God classes, feature envy, inappropriate intimacy, data clumps, primitive obsession, and long parameter lists.
Code Smell Detector fits situations like: conducting code quality audits; preparing for refactoring; improving codebase maintainability; performing design reviews.
Run `npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a claude-code`. Or copy the skill folder (skills/code-smell-detector in ArabelaTso/Skills-4-SE) into .claude/skills/code-smell-detector in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a codex`. Or copy the skill folder (skills/code-smell-detector in ArabelaTso/Skills-4-SE) into .agents/skills/code-smell-detector in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ArabelaTso/Skills-4-SE --skill code-smell-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-smell-detector, .gemini/skills/code-smell-detector, .github/skills/code-smell-detector and .opencode/skills/code-smell-detector in your project.
Going by SKILL.md and its folder, Code Smell Detector needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Code Smell Detector is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Code Smell Detector: Dignified Python Standards (docling-project/docling, 69k stars), Odoo Workflow (unclecatvn/agent-skills, 143 stars), Code Refactor Master (yennanliu/CS_basics, 142 stars) and Clean Tests (ertugrul-dmr/clean-code-skills, 196 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ArabelaTso (a GitHub user) maintains it in ArabelaTso/Skills-4-SE, which has 253 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on August 21, 2026.
Source: ArabelaTso/Skills-4-SE on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.