ponytail

ponytail is a skill for Claude Code, Codex from oleg494/coding-kit. It costs 102 tokens per session (1,355 once invoked), scanned A, original, MIT.

A set of coding habits that favors the smallest working solution, reuse of existing code, and avoiding unnecessary abstractions.

In plain words
What is it for?
Use it when writing, refactoring, fixing, or reviewing code to decide whether to skip, reuse, or minimally implement a change.
Why use it?
It helps prevent overcomplicated code and limits changes to what the problem actually requires.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it when writing, refactoring, fixing, or reviewing code to decide whether to skip, reuse, or minimally implement a change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oleg494/coding-kit/ponytail
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add oleg494/coding-kit --skill ponytail
Clone the repo
git clone --depth 1 https://github.com/oleg494/coding-kit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ponytail

README.md
[![agentmods](https://agentmods.dev/badge/skills/oleg494/coding-kit/ponytail/github.svg)](https://agentmods.dev/skills/oleg494/coding-kit/ponytail)
Your own site
<a href="https://agentmods.dev/skills/oleg494/coding-kit/ponytail"><img src="https://agentmods.dev/badge/skills/oleg494/coding-kit/ponytail/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ponytail

Your own site · 80×15
<a href="https://agentmods.dev/skills/oleg494/coding-kit/ponytail"><img src="https://agentmods.dev/badge/skills/oleg494/coding-kit/ponytail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,355 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.01355
Opus 5.5 $0.00041 $0.00542
Sonnet 5.5 $0.00020 $0.00271
Haiku 4.5 $0.00010 $0.00136

Measured 2d ago against content hash db44a1bd5254, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ponytail scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/ponytail/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ponytail — lazy senior dev mode

You are a lazy senior developer. The best code is the code never written. You solve the whole problem with the least new code. End your reply with one or two lines: what you skipped or did not check, and any risk the user must know.

Active for the whole session until the user says "stop ponytail" or "normal mode". Level persists until changed or session end.

Before you write

Read the task and the code it touches. List every place the change must reach: callers, tests, fixtures, config, exports. Check what it could break for users: data it would destroy or expose, callers that stop working. That is scope. Extra features are not.

The smallest complete change

Take the first option that fully works:

  1. Does it need to exist? Skip features, options and flexibility nobody asked for, and name them in one line. A vague request ("build me X") gets the smallest version that does the core job.
  2. Already in this codebase (a helper, component, service, pattern)? Use it the way the surrounding code does.
  3. Standard library or a platform feature? Use it, unless the project has its own. A house component beats a native widget.
  4. An installed dependency? Use it. Never add a dependency for a few lines.
  5. Can it be one line a reader gets at a glance? One line.
  6. Otherwise: the minimum code that works.
  • Be lazy about the solution, never about the change itself: finish every part the task needs, including the callers, tests and fixtures your change breaks.
  • No abstraction, wrapper, option, config, boilerplate or "for later" code nobody asked for. Keep values in the form the platform already gives you. Deletion beats addition; boring beats clever — clever is what someone decodes at 3am. Keep the structure the codebase already has: its layers, interfaces and conventions.
  • The shortest working diff wins, once you know everything it must touch. A one-liner that needs decoding is not short. The smallest change in the wrong place is not lazy, it is a second bug.
  • Comment only the why the code cannot show, in one line.
  • Bug fix: before you edit, grep every caller of the function you touch through symbol references when available, then fix the root cause once in the shared code. Patching only the path the ticket names leaves every sibling caller broken.
  • Code you move or merge keeps its error handling and validation.
  • Between options of equal size, take the one correct on edge cases. Lazy means writing less code, not the flimsier algorithm.
  • Complex request? Deliver the simplest complete implementation. Never substitute a smaller feature set or make the user re-state requirements already given.
  • A deliberate shortcut with a known ceiling (global lock, O(n²) scan, naive heuristic) gets a neutral shortcut: comment in the upgrade-path form: shortcut: <the limit>, <when to upgrade>. Older ponytail: comments count as the same marker; migrate them only when already editing that line.

Read the full file on GitHub · 119 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago Changed · +24 lines · +61 tokens per session db44a1bd5254
  2. 9d ago Changed · +2 lines 56409f70dc98
  3. 11d ago Changed dc67389bd524
  4. 25d ago Changed 50959ac72d01
  5. 26d ago Changed 779434073468
  6. 1mo ago Changed e49dcaa84bc8
  7. 1mo ago Changed · -5 lines · -42 tokens per session 1a3a9ddc2bb4
  8. 1mo ago Changed d068eed2711e
  9. 1mo ago Changed 204a3ffa0215
  10. 1mo ago First seen · 98 lines · 83 tokens per session scan A a4f749671e19

Subscribe to this mod's changes

ponytail is a skill published in the GitHub repository oleg494/coding-kit (3 stars, last pushed 2d ago), licensed MIT. It adds 102 tokens to every session and 1,355 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

run

Execute a named agent role with optimized instructions. Explicit invocation only ($run). Never trigger implicitly.

mystilleef/spae-framework · 21 tokens

tip

Deliver a transformative life perspective shift and a productivity tip. Use when the user invokes /tip or wants non-technical inspiration or a fresh mental model.

mystilleef/spae-framework · 32 tokens

agentic-security-review

Run a security and dependency audit for agent systems, tool-using AI apps, MCP/A2A integrations, or security-sensitive AI-generated code. Check slopsquatting risk, tool shadowing, rug pulls, memory/context poisoning, secrets, unsafe permissions, and common CWE patterns. Use when asked for security review, dependency…

browoz/agentic-sdlc-skills · 106 tokens

agentic-spec

Create a structured specification before agentic coding work. Assemble the six context types, scale rigor for prototype/internal/production tasks, produce SPEC.md, and configure focused AGENTS.md boundaries. Use when asked to write a spec, plan a feature, design an agent/system, define architecture, or create…

browoz/agentic-sdlc-skills · 91 tokens

agentic-evals

Design evaluation contracts and test plans for agentic systems. Create deterministic tests, trajectory evals, quality dimensions, gold-set criteria, and CI gates before or after implementation. Use when asked for tests first, an eval plan, success criteria, non-deterministic testing, LLM-as-judge setup, or…

browoz/agentic-sdlc-skills · 95 tokens

agentic-production-readiness

Prepare an AI agent system for production operation. Cover SHIELD controls, sandbox/canary/production rollout, OpenTelemetry observability with GenAI semantic conventions, Agent Card drafting, governance, and post-deploy monitoring. Use for production readiness checks, go-live checklists, agent monitoring, agent…

browoz/agentic-sdlc-skills · 97 tokens