brycewang-stanford/daily-coding
skills/33-Galaxy-Dawn-claude-scholar/skills/daily-coding/SKILL.md
Use for everyday coding tasks that involve writing or modifying source code.
$ install --global
skillsauthnpx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research daily-codingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
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Last scanned: May 1, 2026, 5:51 AM118.5s1 file scanned
SKILL.md
- name:
- daily-coding
- description:
- Use for everyday coding tasks that involve writing or modifying source code.
- version:
- 1.0.0
- tags:
- [Coding, Daily, Checklist]
Daily Coding Checklist
A minimal coding quality assurance checklist ensuring every code modification follows best practices.
When to Use
Use this skill for:
- Implementing new features
- Adding code or modifying existing code
- User requests like "write a...", "implement...", "add...", or "modify..."
- Any coding task that involves Edit or Write tools
When Not to Use
Do not use this skill for:
- Pure reading or understanding tasks with no modification intent
- Work already covered by specialized skills such as
bug-detective,architecture-design, ortdd-guide - Configuration-only changes
- Documentation-only writing
Core Checklist
Before Starting
- [ ] Read before modify - Must read target file with Read tool before making changes
- [ ] Understand context - Confirm understanding of existing code logic and design intent
During Coding
- [ ] Minimal changes - Only change what's necessary, no over-engineering, no unrelated features
- [ ] Type safety - Add type hints for Python, avoid
anyin TypeScript - [ ] Security check - Avoid command injection, XSS, SQL injection vulnerabilities
After Completion
- [ ] Verify execution - Ensure code runs correctly with no syntax errors
- [ ] Clean up - Remove print/console.log debug statements and temporary files
- [ ] Brief summary - Inform user what was changed and the scope of impact
Quick Reference
Common Mistakes to Avoid
# ❌ Don't
def process(data=[]): # Mutable default argument
pass
# ✅ Should
def process(data: list | None = None):
data = data or []
# ❌ Don't
except: # Bare except
pass
# ✅ Should
except ValueError as e:
logger.error(f"Processing failed: {e}")
raise
Security Check Points
- User input must be validated/escaped
- Use pathlib for file paths, avoid path traversal
- Never hardcode sensitive info (API keys, passwords)
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