ponytail-review

The ponytail-review skill identifies over-engineering in code by suggesting deletions and simplifications. It focuses on removing reinvented standard library functions, unneeded dependencies, speculative abstractions, and dead code.

5.7K
Installs
4
Use cases
5/10
Quality

Is ponytail-review safe to install?

Safe to install

Safe to install: our audit of ponytail-review's source files found 0 shell commands, 0 external URLs, no file writes (none risk). Every command and URL listed appears verbatim in the skill's source. The skill performs text analysis on provided code diffs and does not execute commands, access the network, or modify files.

How we audit skills: our security review methodology.

Who is this skill for?

Developers and code reviewers seeking to reduce codebase complexity and line counts.

What can you do with it?

  • Identify reinvented standard library functions
  • Detect unneeded dependencies
  • Flag speculative abstractions and dead flexibility
  • Suggest code shrinking for manual loops or complex structures

How good is this skill?

Quality score: 5/10. The skill documentation is clear, provides specific formatting rules, and defines explicit boundaries for its operation.

What does the skill file contain?

SKILL.md
Review diffs for unnecessary complexity. One line per finding: location, what
to cut, what replaces it. The diff's best outcome is getting shorter.

## Format

`L<line>: <tag> <what>. <replacement>.`, or `<file>:L<line>: ...` for
multi-file diffs.

Tags:

- `delete:` dead code, unused flexibility, speculative feature. Replacement: nothing.
- `stdlib:` hand-rolled thing the standard library ships. Name the function.
- `native:` dependency or code doing what the platform already does. Name the feature.
- `yagni:` abstraction with one implementation, config nobody sets, layer with one caller.
- `...

Frequently asked questions

What does the skill flag for deletion?

It flags dead code, unused flexibility, speculative features, hand-rolled standard library implementations, unnecessary dependencies, and over-engineered abstractions.

Does this skill fix the code?

No. The skill lists findings and suggested replacements but does not apply changes to the codebase.

How does the skill report findings?

It uses a one-line format per finding: location, tag, what to cut, and the replacement. It concludes with a net line count reduction metric.

Does the skill check for security or performance issues?

No. The skill scope is limited to over-engineering and complexity. It ignores correctness, security, and performance.

Data sourced from dietrichgebert/ponytail on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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