impeccable

impeccable is a skill for Claude Code, Codex from vscarpenter/gsd-task-manager. It costs 189 tokens per session (5,031 once invoked), scanned A, a copy of impeccable, MIT.

A frontend design and improvement workflow for websites, dashboards, product interfaces, and other user-interface screens.

In plain words
What is it for?
Use it to design, redesign, critique, audit, polish, or optimize frontend pages and components.
Why use it?
It provides a structured way to assess and refine an interface's layout, wording, visual style, and interaction details.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/vscarpenter/gsd-task-manager/impeccable
Any agent
npx skills add vscarpenter/gsd-task-manager --skill impeccable
Clone the repo
git clone --depth 1 https://github.com/vscarpenter/gsd-task-manager

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 impeccable

README.md
[![agentmods](https://agentmods.dev/badge/skills/vscarpenter/gsd-task-manager/impeccable.svg)](https://agentmods.dev/skills/vscarpenter/gsd-task-manager/impeccable)
Your own site
<a href="https://agentmods.dev/skills/vscarpenter/gsd-task-manager/impeccable"><img src="https://agentmods.dev/badge/skills/vscarpenter/gsd-task-manager/impeccable.svg" alt="Measured on agentmods" height="20"></a>
Per session 189 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,031 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% copy Near-identical to another mod 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 $0.00189 $0.05031
Opus 5 $0.00095 $0.02516
Sonnet 5 $0.00038 $0.01006
Haiku 4.5 $0.00019 $0.00503

Measured 4d ago against content hash 3fe27c07d096, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

impeccable 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 4d ago.

The scan reads SKILL.md. This mod also ships 28 executable files (scripts/context-signals.mjs, scripts/context.mjs, scripts/critique-storage.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

88% identical to impeccable — 53 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/impeccable/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Designs and iterates production-grade frontend interfaces. Real working code, committed design choices, exceptional craft.

Setup

You MUST do these steps before proceeding:

  1. Run node .agents/skills/impeccable/scripts/context.mjs once per session. If you've already seen its output in this conversation, do not re-run it. The script either prints the project's PRODUCT.md (and DESIGN.md when present) as a markdown block, or tells you it's missing. Follow whatever it prints. If it reports NO_PRODUCT_MD, stop and follow reference/init.md before doing anything else. If the output ends with an UPDATE_AVAILABLE directive, follow it (ask the user once about updating, then continue). It never blocks the current task.
  2. If the user invoked a sub-command (craft, shape, audit, polish, ...), you MUST read reference/<command>.md next. Non-optional. The reference defines the command's flow; without it you will skip steps the user expects.
  3. Familiarize yourself with any existing design system, conventions, and components in the code. Read at least one project file (CSS / tokens / theme / a representative component or page). Required even when you've loaded a sub-command reference in step 2. Don't reinvent the wheel; use what's there when it works, branch out when the UX wins.
  4. Read the matching register reference. This is non-optional; skipping it produces generic output. If the project is marketing, a landing page, a campaign, long-form content, or a portfolio (design IS the product), read reference/brand.md. If it is app UI, admin, a dashboard, or a tool (design SERVES the product), read reference/product.md. Pick by first match: (1) task cue ("landing page" vs "dashboard"); (2) surface in focus (the page, file, or route being worked on); (3) register field in PRODUCT.md.
  5. If the project is brand-new (no existing CSS tokens / theme / committed brand colors found in step 3), run node .agents/skills/impeccable/scripts/palette.mjs to receive a brand seed color and composition guidance. This is the anchor for your primary brand color. Compose the rest of the palette (bg, surface, ink, accent, muted) around it per the script's instructions. Use OKLCH throughout. Skip this step only if step 3 found committed brand colors in existing tokens; in that case identity-preservation wins.

Read the full file on GitHub · 173 lines

Files

What ships with it

60 files 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. 4d ago First seen · 173 lines · 189 tokens per session scan A 3fe27c07d096

Subscribe to this mod's changes

impeccable is a skill published in the GitHub repository vscarpenter/gsd-task-manager (25 stars, last pushed 2d ago), licensed MIT. It adds 189 tokens to every session and 5,031 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to impeccable, differing in 53 lines, and is treated as a copy.

Related

Other skills, from other repositories

lastest

Run visual regression tests, review screenshot diffs, and manage baselines on a Lastest instance via the @lastest/mcp-server MCP tools.

las-team/lastest · 33 tokens

lastest

Lastest is a visual regression testing platform. It records browser tests, runs them via Playwright, diffs screenshots, and uses AI to classify changes. Available as an MCP server for AI agent integration.

las-team/lastest · 0 tokens

Lastest design system

Visual + content rules for Lastest, the free open-source visual regression testing platform. Anchored on the Delta Mark logo + 5-stop split-complementary palette.

las-team/lastest · 39 tokens

opik-diagnose

Surface the Opik traces worth a developer's attention, ranked by signal — errors, failed tool calls, latency, regressions, and low online-eval scores — plus Diagnostics issues. Reads live/production traces via the SDK (searchtraces and agentinsights) and works with no MCP; uses the MCP issue entity when connected.…

comet-ml/opik-mcp · 147 tokens

freshness-check

Model-aware staleness check before asserting how a PoE mechanic/item/system works, plus a scope filter so league/event mechanics don't bleed into the wrong character. Routes to freshnessindex.md + mechanicsindex.md.

charleslucas/poe_mcp_suite · 46 tokens

mcp2cli

Use mcp2cli to connect to, explore, and execute commands against any MCP (Model Context Protocol) server from the terminal. Covers discovery, tool invocation, resource reading, prompt execution, alias creation, config management, background jobs, authentication, and JSON output pipelines.

mcp2cli/source-code · 60 tokens