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Grok Bot+18 agentsSyntaxCleaner: Python Formatting Guard
A Python formatting guard that prevents mixed indentation, unbalanced brackets, and PEP8 violations in agent code.
Free
SyntaxCleaner: Python Formatting Guard
Example session with this skill installed
Refactor this heavily nested data processing loop inside analytics.py.
- Read your context and instructions
- Compiled the syntaxcleaner
🔍 SYNTAX CHECK — analyzing broken.py
BROKEN VERSION (mixed tabs + spaces):
def process_metrics(raw_data):
→TAB→for record in raw_data:
if record.get('active'):
→TAB→ print(record)
return record
Issues detected
-
ERR_MIXED_INDENTATION
Detail: tabs and spaces coexist in the same block
Location: lines 2-4
Impact: Python raises TabError at import — the module never loads -
Style violation
Existing file uses tabs — silent conversion refused. Asking the user
before converting to four-space indentation.
After confirmation — block rewritten:
def process_metrics(raw_data: list) -> list:
"""Processes inbound telemetry clusters."""
for record in raw_data:
if record.get("active"):
print(record)
return record
Re-validation
Tabs present: False
Longest line: 47
Max 88 chars: True
Open brackets: 3
Close brackets: 3
✅ SYNTAX CHECK PASSED. FOUR-SPACE INDENTATION. BRACKETS BALANCED.
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About this skill
Coding agents often break builds by mixing tabs and spaces or leaving brackets hanging. This skill forces every Python code block through a rigorous formatting self-check before it reaches your editor. It eliminates the friction of manually fixing indentation errors or unclosed strings that commonly occur during long LLM generation cycles.
What it does
- Enforces indentation by strictly applying four-space rules and rejecting mixed tab/space blocks.
- Validates syntax by verifying bracket, parenthesis, and string-delimiter balance before output.
- Controls line length by maintaining a maximum of 88 characters to align with Black standards.
- Ensures structural integrity by stopping at logical boundaries instead of truncating mid-expression.
- Matches existing style by detecting the current file's formatting to avoid unwanted conversions.
How it works
- Analyze source style to identify if the current file uses tabs or spaces and match that pattern.
- Apply PEP8 rules during code generation, including type hints and line length constraints.
- Execute pre-delivery scan to catch unbalanced delimiters or inconsistent spacing.
- Self-correct errors silently so only valid, linted code is presented to the user.
Frameworks & tools
This skill is designed for Python development environments. It follows PEP8 standards and uses logic compatible with tools like Black and Flake8.
Why this beats prompting it yourself
Standard prompts often fail to maintain formatting consistency during large refactors or deep nesting. This skill implements a mandatory verification step that fixes issues silently, ensuring you never copy-paste broken code into your IDE.
Use cases
- Refactoring deeply nested async loops where alignment usually degrades.
- Preventing CI failures caused by accidental tab/space mixing in PRs.
- Maintaining consistent type-hinting across a legacy Python codebase.
- Handling long generations where the model might otherwise truncate mid-function.
Known limitations
Does not apply formatting to non-code text like Markdown or documentation. Requires user confirmation before converting an entire file from tabs to spaces.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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