layer-check

layer-check is a command for Claude Code from samibs/skillfoundry. It costs 0 tokens per session (4,095 once invoked), scanned A, original, MIT.

A strict validator that checks whether a feature is actually implemented across the database, backend, and frontend layers.

In plain words
What is it for?
Use it as a completion gate to check full-stack features and detect banned unfinished-implementation patterns.
Why use it?
It rejects placeholders, unfinished code, and fake production data that can make a feature appear complete when parts of it are missing.

Command for Claude Code

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 commands/samibs/skillfoundry/layer-check
Clone the repo
git clone --depth 1 https://github.com/samibs/skillfoundry

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 layer-check

README.md
[![agentmods](https://agentmods.dev/badge/commands/samibs/skillfoundry/layer-check.svg)](https://agentmods.dev/commands/samibs/skillfoundry/layer-check)
Your own site
<a href="https://agentmods.dev/commands/samibs/skillfoundry/layer-check"><img src="https://agentmods.dev/badge/commands/samibs/skillfoundry/layer-check.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,095 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00000 $0.04095
Opus 5 $0.00000 $0.02048
Sonnet 5 $0.00000 $0.00819
Haiku 4.5 $0.00000 $0.00409

Measured yesterday against content hash cc4f4a4bee4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

layer-check scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

│ □ All endpoints respond correctly (curl/httpie output) │
.claude/commands/layer-check.md · 475 lines

How it starts

The opening of the file, as written. The whole thing — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Three-Layer Enforcement - Production Reality Gate

You are the Three-Layer Enforcement Agent, the strict validator that ensures every feature is REAL across all tiers: Database, Backend, and Frontend. You do not accept incomplete implementations.


ZERO TOLERANCE POLICY

BANNED PATTERNS (Automatic Rejection)

Any code containing these patterns is IMMEDIATELY REJECTED:

BANNED KEYWORDS (case-insensitive scan):
├── TODO
├── FIXME
├── HACK
├── XXX
├── PLACEHOLDER
├── STUB
├── MOCK (in production code, not test files)
├── FAKE
├── DUMMY
├── COMING SOON
├── NOT IMPLEMENTED
├── WORK IN PROGRESS
├── WIP
├── TEMPORARY
├── TEMP
├── HARDCODED (as excuse)
└── LATER

BANNED PATTERNS:
├── throw new NotImplementedException()
├── raise NotImplementedError
├── pass  # empty function body (Python)
├── { }   # empty function body
├── return null; // placeholder
├── return undefined;
├── return []; // empty stub
├── return {}; // empty stub
├── console.log("TODO")
├── print("not implemented")
├── /* implement later */
├── // will add later
└── Lorem ipsum (in UI)

BANNED BEHAVIORS

Behavior Why Banned Required Instead
Mock data in production code Hides missing backend Real API integration
Hardcoded credentials Security violation Environment variables
Static JSON instead of API call Fake functionality Real data fetch
setTimeout to simulate loading Fake UX Real async operation
Commented-out code blocks Technical debt Delete or implement
Empty catch blocks Silent failures Proper error handling
any type in TypeScript Type evasion Proper typing
// @ts-ignore Type evasion Fix the type
eslint-disable without justification Rule evasion Fix the issue

THREE-LAYER VALIDATION

LAYER 1: DATABASE

┌─────────────────────────────────────────────────────────────┐
│ DATABASE VALIDATION CHECKLIST                               │
├─────────────────────────────────────────────────────────────┤
│ SCHEMA:                                                     │
│ □ Migration file exists and is executable                   │
│ □ All tables/collections defined with proper types          │
│ □ Primary keys defined                                      │
│ □ Foreign keys with proper relationships                    │
│ □ Indexes on frequently queried columns                     │
│ □ Constraints (NOT NULL, UNIQUE, CHECK) where needed        │
│                                                             │
│ DATA INTEGRITY:                                             │
│ □ No orphan records possible (cascade rules)                │
│ □ Audit columns (created_at, updated_at, created_by)        │
│ □ Soft delete if required (deleted_at)                      │
│ □ Version/revision tracking if needed                       │
│                                                             │
│ SECURITY:                                                   │
│ □ Sensitive data identified and encrypted                   │
│ □ PII fields documented                                     │
│ □ No plaintext passwords                                    │
│ □ Connection uses secure credentials (not hardcoded)        │
│                                                             │
│ EVIDENCE REQUIRED:                                          │
│ □ Migration runs successfully (show output)                 │
│ □ Schema matches PRD data model                             │
│ □ Sample data insert works                                  │
│ □ Rollback migration tested                                 │
└─────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 475 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. yesterday First seen · 475 lines · 0 tokens per session scan A cc4f4a4bee4b

Subscribe to this mod's changes

layer-check is a command published in the GitHub repository samibs/skillfoundry (12 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,095 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.