impeccable-integration

impeccable-integration is a skill for Claude Code, Codex from jnPiyush/AgentX. It costs 83 tokens per session (1,354 once invoked), scanned A, original, Apache-2.0.

A design-language toolkit for defining an application's visual rules and checking interfaces against them. It also provides named commands for correcting common design problems and a detector that reports whether checks pass, are blocked, or have limited results.

In plain words
What is it for?
Use it to write product and design guidelines, review prototypes, and choose targeted visual corrections.
Why use it?
It helps teams keep interfaces visually consistent and identify generic or unsuitable design patterns before release.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write product and design guidelines, review prototypes, and choose targeted visual corrections.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jnpiyush/agentx/impeccable-integration
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 jnPiyush/AgentX --skill impeccable-integration
Clone the repo
git clone --depth 1 https://github.com/jnPiyush/AgentX

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-integration

README.md
[![agentmods](https://agentmods.dev/badge/skills/jnpiyush/agentx/impeccable-integration/github.svg)](https://agentmods.dev/skills/jnpiyush/agentx/impeccable-integration)
Your own site
<a href="https://agentmods.dev/skills/jnpiyush/agentx/impeccable-integration"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/impeccable-integration/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 impeccable-integration

Your own site · 80×15
<a href="https://agentmods.dev/skills/jnpiyush/agentx/impeccable-integration"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/impeccable-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,354 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 61
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00083 $0.01354
Opus 5.5 $0.00033 $0.00542
Sonnet 5.5 $0.00017 $0.00271
Haiku 4.5 $0.00008 $0.00135

Measured 29d ago against content hash f22218946512, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

impeccable-integration 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 29d 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.

.github/skills/design/impeccable-integration/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Impeccable Integration

WHEN: Defining the design language for a target app, or checking any UI surface against it. Impeccable owns visual design language and slop detection. Frontier owns process, compliance evidence, and lifecycle integration, not duplicate detector rules.

When to Use This Skill

Establish target language (UX's first phase), run prototype Pass 0 conformance, choose an intervention when the fix is unclear, or assign finding ownership.

Prerequisites

  • Node 22.18 or newer in the environment that runs the detector.
  • A target app repository. Impeccable is installed there, never into Frontier.
  • A supported trusted installed Frontier design-language bridge and a target-relative native engine pinned by version and SHA-256 in .impeccable/agentx.json.
  • Verify the installed bridge supports native engine contract 0.1.3. This source checkout has no local bridge. A package lock alone does not pin a downloading shim's native engine.
  • Write access to the target app's PRODUCT.md and DESIGN.md.

Missing prerequisites -> DEGRADED; continue Frontier-only checks and design work.

Core Rules

  1. Before wireframes/prototypes/HTML, PRODUCT.md and DESIGN.md MUST exist and be cited by the UX Spec. Chat-only direction is insufficient.
  2. Detector Pass 0 precedes LLM judgement; it cannot judge communication quality.
  3. Install only in the target app with explicit approval, never Frontier or its bundle. No unpinned npx or validation shim: npm exec --offline still allows native downloads.
  4. Verify native SHA-256/handshake; use bounded direct execution through the installed bridge and retain incomplete-coverage diagnostics.
  5. Preserve raw status; waivers are separate. Upstream ignores only mirror an existing Frontier waiver via anti-slop.
  6. Check fabrication, emoji, WCAG, heuristics and visual regression separately through prototype audit; do not assume coverage.
  7. Delegates MUST NOT start, reset, iterate or complete the parent-owned loop or change its baseline/approval history; return scoped evidence to its owner.

Read the full file on GitHub · 124 lines

Files

What ships with it

2 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. 29d ago Changed · -160 lines f22218946512
  2. 1mo ago Changed f9ac230b48bd
  3. 1mo ago First seen · 284 lines · 83 tokens per session scan A 6dbdecebc5ca

Subscribe to this mod's changes

impeccable-integration is a skill published in the GitHub repository jnPiyush/AgentX (16 stars, last pushed 3d ago), licensed Apache-2.0. It adds 83 tokens to every session and 1,354 once invoked, about $0.0003 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 2026-09-03.

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