Agent skill

Ponytail Review

by kortix-ai in kortix-ai/suna

Code review focused exclusively on over-engineering. An agent skill from kortix-ai/suna.

Custom licenceAuto-check passedDevelopment

Install Ponytail Review

skills CLI
$ npx skills add kortix-ai/suna --skill ponytail-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kortix-ai/suna ponytail-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kortix-ai/suna.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ponytail-review .claude/skills/ponytail-review && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ponytail-review
GitHub stars
20k
Used in
4 other repos
Token cost
~593 tokens
SKILL.md length
258 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Custom licence

At a glance

Code review focused exclusively on over-engineering. An agent skill from kortix-ai/suna.

  • The user says review for over-engineering
  • SKILL.md covers Format, Examples, Scoring and Boundaries
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • What can we delete

What it does

Ponytail Review is an agent skill from kortix-ai/suna. Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. One line per finding: location, what to cut, what replaces it. Use when the user says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /ponytail-review. Complements correctness-focused review, this one only hunts complexity.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code simplification. The repository describes itself as: The open-source AI Operating System.

When your agent uses it

  • The user says review for over-engineering
  • What can we delete
  • Is this over-engineered
  • Simplify review

Example prompts

  • “review for over-engineering”
  • “what can we delete”
  • “is this over-engineered”
  • “/ponytail-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 4d2a7e9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ponytail Review loads about 593 tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 258 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~593

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.

Safety

Auto-check passed

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 258 words (~593 tokens).

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

— opening of SKILL.md by kortix-ai, Custom licence
name
ponytail-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/ponytail-review of kortix-ai/suna.

Open the folder on GitHubat commit 4d2a7e9

Used in 4 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in kortix-ai/suna, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ponytail Review 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.

Ponytail Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ponytail Review this skillkortix-ai/suna20k4 repos~593Automated safety check: PassCustom licence
Ponytail Lazy Developer ModeDietrichGebert/ponytail160k1 repos~873Automated safety check: PassMIT
PonytailDavidObando/gsharp5657 repos~1.7kAutomated safety check: PassMIT
Code Simplification for ego-litecitrolabs/ego-lite17k—~1.2kAutomated safety check: PassMIT
Refactor Pass for Simplicitystar-history/star-history9.6k1 repos~168Automated safety check: PassMIT
RTK Rust Code Simplifierrtk-ai/rtk83k—~1.1kAutomated safety check: PassApache-2.0

Similar skills

  • Ponytail Lazy Developer Mode

    DietrichGebert/ponytail

    Makes the agent pick the laziest solution that works: skip unneeded work, reuse what exists, prefer the standard library and platform features, and keep diffs small.

    160k GitHub starsUsed in 1 repo~873 tokens
    DevelopmentAuto-check passed
  • Ponytail

    DavidObando/gsharp

    Forces the laziest solution that actually works, simplest, shortest, most minimal.

    565 GitHub starsUsed in 7 repos~1.7k tokens
    DevelopmentAuto-check passed
  • Finds and implements evidence-backed simplifications in the ego-lite repository, such as dead code, duplicated state and speculative abstractions, without hiding behavior changes.

    17k GitHub stars~1.2k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Refactor Pass for Simplicity

    star-history/star-history

    Perform a refactor pass focused on simplicity after recent changes. Use when the user asks for a refactor/cleanup pass, simplification, or dead-code removal…

    9.6k GitHub starsUsed in 1 repo~168 tokens
    DevelopmentAuto-check passed
  • Reviews RTK's Rust code for over-engineering and verbose patterns, applying idioms like iterator chains and early returns while protecting a specific list of constraints from being simplified away.

    83k GitHub stars~1.1k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Over-Engineering Review

    DietrichGebert/ponytail

    Reviews a diff only for unnecessary complexity and lists what to delete or shrink, one numbered line per finding with the location, the cut and its replacement.

    160k GitHub stars~1.3k tokensUpdated yesterday
    DevelopmentAuto-check passed

More from kortix-ai/suna

All 19 skills in this repo
  • Kortix Brand

    kortix-ai/suna

    Load FIRST for anything that carries the Kortix look or voice: product or mobile UI, copy of any kind, decks, social, images, email, CLI output, anything with the logo, and reviews of these.

    20k GitHub stars~4k tokensUpdated today
    Auto-check passed
  • Testing

    kortix-ai/suna

    A skill your agent uses for every Kortix test task, behavior change, bug fix, refactor, API route change, CLI change, SDK change, browser journey, test failure, coverage question, local benchmark…

    20k GitHub stars~3.6k tokensUpdated today
    Auto-check: notes
  • Contributing

    kortix-ai/suna

    The pull request loop for this repo: branch → commit → verify in your own box (local tests + local stack) → PR into main → demo video recorded with agent-browser on the local stack → gh --attach →…

    20k GitHub stars~3k tokensUpdated today
    Auto-check: warnings
  • Claude Code

    kortix-ai/suna

    Drive Anthropic's Claude Code CLI (claude -p) as a non-interactive coding sub-agent from inside Codex.

    20k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Learnings

    kortix-ai/suna

    The project's episodic memory: a timestamped ledger of rules paid for with real outages and near-misses, one entry per incident.

    20k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Kortix Presentation

    kortix-ai/suna

    Recipe: build, edit, present or record a Kortix deck or film (a Next.js route under /presentations in apps/web, never a file).

    20k GitHub stars~3k tokensUpdated today
    Auto-check passed

Categories

Questions about Ponytail Review

What does Ponytail Review do?

Code review focused exclusively on over-engineering. An agent skill from kortix-ai/suna. Ponytail Review is an agent skill from kortix-ai/suna. Code review focused exclusively on over-engineering.

When should I use Ponytail Review?

Ponytail Review fits situations like: the user says review for over-engineering; what can we delete; is this over-engineered; simplify review.

How do I install Ponytail Review in Claude Code?

Run `npx skills add kortix-ai/suna --skill ponytail-review -a claude-code`. Or copy the skill folder (.agents/skills/ponytail-review in kortix-ai/suna) into .claude/skills/ponytail-review in your project. Claude Code loads it when a task matches its description.

How do I install Ponytail Review in Codex?

Run `npx skills add kortix-ai/suna --skill ponytail-review -a codex`. Or copy the skill folder (.agents/skills/ponytail-review in kortix-ai/suna) into .agents/skills/ponytail-review in your project. Codex loads it when a task matches its description.

Can I use Ponytail Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kortix-ai/suna --skill ponytail-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ponytail-review, .gemini/skills/ponytail-review, .github/skills/ponytail-review and .opencode/skills/ponytail-review in your project.

What does Ponytail Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Ponytail Review is instructions for the agent only.

Does Ponytail Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ponytail Review safe to install?

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. Review the folder before installing.

What licence does Ponytail Review use?

Ponytail Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Ponytail Review use?

About 593 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ponytail Review?

Skills that share tags, products or a category with Ponytail Review: Ponytail Lazy Developer Mode (DietrichGebert/ponytail, 160k stars), Ponytail (DavidObando/gsharp, 565 stars), Code Simplification for ego-lite (citrolabs/ego-lite, 17k stars) and Refactor Pass for Simplicity (star-history/star-history, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ponytail Review?

kortix-ai (a GitHub organization) maintains it in kortix-ai/suna, which has 20,263 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 11, 2026.

Source: kortix-ai/suna on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.