cogov-a-sdlc: Skill for Claude Code

.agents/skills/ponytail/SKILL.md

ponytail is a skill for Claude Code from dradoaica/cogov-a-sdlc. It costs 91 tokens per session (1,123 once invoked), scanned A, original, MIT.

A coding approach that aims for the smallest complete change that solves the requested task. It avoids speculative features and records shortcuts while following the project's rules and approved architecture decisions.

In plain words
What is it for?
Use it when writing, fixing, refactoring, reviewing, or choosing dependencies, with lite, full, ultra, or off modes for the amount of challenge and analysis.
Why use it?
It reduces unnecessary code and abstractions while keeping the change tied to the actual requirement. It also prevents architectural, API, database, or security changes from bypassing required review and decisions.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is dradoaica/cogov-a-sdlc's own configuration. It tells Claude Code how to work on cogov-a-sdlc itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cogov-a-sdlc configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dradoaica/cogov-a-sdlc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dradoaica/cogov-a-sdlc/main/.agents/skills/ponytail/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dradoaica/cogov-a-sdlc

Made for: Claude Code.

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/dradoaica/cogov-a-sdlc/ponytail/github.svg)](https://agentmods.dev/skills/dradoaica/cogov-a-sdlc/ponytail)
Your own site
<a href="https://agentmods.dev/skills/dradoaica/cogov-a-sdlc/ponytail"><img src="https://agentmods.dev/badge/skills/dradoaica/cogov-a-sdlc/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/dradoaica/cogov-a-sdlc/ponytail"><img src="https://agentmods.dev/badge/skills/dradoaica/cogov-a-sdlc/ponytail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,123 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 $0.00091 $0.01123
Opus 5.5 $0.00036 $0.00449
Sonnet 5.5 $0.00018 $0.00225
Haiku 4.5 $0.00009 $0.00112

Measured 8d ago against content hash 40f536294a96, 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 8d 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 · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Ponytail (Pragmatic Senior Engineer Execution)

Purpose

Applies a pragmatic, senior-developer mindset to code changes: produces the smallest complete change that fully satisfies the task, eliminates premature abstractions and speculative bloat, enforces standard-library-first implementations, and leaves clear traceability for shortcuts.

Inputs required

  • Active task context, bug report, user story (docs/user-stories/), or accepted ADR (docs/adrs/).
  • Active codebase, callers, callees, and test fixtures.
  • Optional level parameter (lite, full [default], ultra, off).

Preconditions / governance gates

  • Governance Alignment: Must adhere to .agents/AGENTS.md and the active change tier in the Change Classification Triage Matrix.
  • Tier 1 Gate: Ponytail cannot bypass the requirement for an Accepted Architectural Decision Record (docs/adrs/) if the proposed work involves architectural changes, breaking API contracts, data schema changes, or security posture modifications.
  • Rule 00 Compliance: Follows .agents/rules/00-no-self-approval.md—the agent cannot self-approve its own implementations.

Procedure (mandatory)

  1. Map blast radius before writing:
    • Identify every place the change must reach: callers, tests, fixtures, config, and exports.
    • Verify potential breakage: data destruction, data exposure, or callers that stop working.
  2. Apply the smallest complete solution hierarchy:
    • Verify if the code needs to exist: skip unrequested features, options, and flexibility.
    • Reuse existing codebase helpers, components, services, and patterns.
    • Standard library or platform features first: exhaust built-ins before reaching for external dependencies.
    • Installed dependencies: use what is already present rather than introducing new packages.
    • Strive for clarity: prefer concise, readable logic; keep values in native platform formats.
    • Preserve structure: keep the repository's layers, interfaces, and conventions; deletion beats addition.
  3. Execute root-cause bug fixes:
    • Inspect every caller of the touched function and fix the root cause once in shared code.
    • Preserve error handling and input validation at trust boundaries.
  4. Annotate deliberate trade-offs and limits:
    • When choosing an intentional simplification or shortcut with a known ceiling, annotate it explicitly (per .agents/protocols/maintainability.md → Technical debt governance): # shortcut: <the limit>, <upgrade trigger> (risk: <low|med|high>, track: <US-…|PRB-…>)
    • The track: item must exist (user story in docs/user-stories/ or problem record in docs/problem-records/); if it does not, draft it. A shortcut without a track: reference is undocumented debt and is not allowed.
  5. Add proportional validation:
    • For new non-trivial logic (branching, loops, parsers, security, financial calculations), write one focused test or assertion verifying behavior. Trivial changes require no extra test scaffolding.
  6. Apply level modifier:
    • lite: Build what was requested; name the smaller option in one line and let the human decide.
    • full (Default): Enforce rules 1–5; deliver the minimal diff.
    • ultra: Actively challenge the premise before writing code; push back against parts unsupported by actual need.
  7. Format human handoff:
    • End reply with 1–2 lines stating what was skipped/untested and any known risks.
    • Include the standard governance ### Sources block.

Read the full file on GitHub · 93 lines

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. 8d ago First seen · 93 lines · 91 tokens per session scan A 40f536294a96

Subscribe to this mod's changes

ponytail is a skill published in the GitHub repository dradoaica/cogov-a-sdlc (3 stars, last pushed 5d ago), licensed MIT. It adds 91 tokens to every session and 1,123 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 2026-10-18.