A structured review of an existing software project so an agent can understand its code, tools, tests, deployment setup, and conventions.

It examines dependencies, folder structure, architecture, naming patterns, tests, possible secrets, CI/CD, hosting, database, authentication, and environment files. It also runs a health check for TypeScript errors, lint issues, tests, debug logs, and uses of the any type.

It removes the need to explain the project manually before asking for development work.

onboard — Skill for Claude Code by GlamgarOnDiscord

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/GlamgarOnDiscord/claude-saas-blueprint

agentmods

npx agentmods add skills/glamgarondiscord/claude-saas-blueprint/onboard

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/glamgarondiscord/claude-saas-blueprint/onboard/github.svg)](https://agentmods.dev/skills/glamgarondiscord/claude-saas-blueprint/onboard)

Your own site

<a href="https://agentmods.dev/skills/glamgarondiscord/claude-saas-blueprint/onboard"><img src="https://agentmods.dev/badge/skills/glamgarondiscord/claude-saas-blueprint/onboard/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/glamgarondiscord/claude-saas-blueprint/onboard"><img src="https://agentmods.dev/badge/skills/glamgarondiscord/claude-saas-blueprint/onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 805 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.

Model	Per session	Once invoked
Fable 5.1	$0.00030	$0.00805
Opus 5	$0.00015	$0.00402
Sonnet 5	$0.00006	$0.00161
Haiku 4.5	$0.00003	$0.00081

Measured 12d ago against content hash 6906d1a15ea2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

onboard 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 12d 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.

.claude/skills/onboard/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructions

Phase 1 — Scan Rapide (4 agents parallèles)

Agent 1 — Structure & Stack :

Lire package.json / pyproject.toml (dépendances = stack réelle)
Identifier framework, runtime, ORM, auth, paiements
Détecter package manager (pnpm/bun/npm via lockfile)

Agent 2 — Architecture & Patterns :

Arborescence 2 niveaux max
Pattern architectural : hexagonal | MVC | feature-based | flat
Conventions de nommage (kebab, camel, PascalCase sur les fichiers)
Détecter si organizationId présent sur les tables → multi-tenant

Agent 3 — Tests & Qualité :

Test runner + config (vitest.config, jest.config, playwright.config)
Ratio fichiers test / fichiers source
Chercher console.log et any (indicateurs de dette rapide)
Chercher secrets hardcodés : patterns sk_, pk_, password=, secret=

Agent 4 — Infra & Deploy :

CI/CD : .github/workflows/, .gitlab-ci.yml
Provider déploiement (Vercel, Railway, Docker, AWS)
DB et auth provider
Variables .env.example présentes ?

Phase 2 — Health Check (script unifié)

python scripts/project_health.py

Retourne : erreurs TS, lint, tests, console.log count, any count, structure hexagonale, audit sécurité.

Phase 3 — Deep Dive (si nécessaire)

Lire les fichiers critiques :

Point d'entrée principal (app/layout.tsx, main.ts, server.ts)
Schema DB / dernières migrations
Middleware d'auth
1-2 features complètes comme référence de style

Phase 4 — Documentation

Générer/mettre à jour :

.claude/memory/project-scan.md — scan complet
.claude/memory/stack.md — stack + versions
.claude/memory/domains.md — domaines et entités détectés
.claude/memory/patterns.md — patterns de code observés

Phase 5 — Recommandations

Basé sur le scan, identifier et prioriser :

Critique : secrets hardcodés, tables sans RLS, 0 tests
Warning : dette TS (any), console.log en prod, migrations non appliquées
Nice to have : structure hexagonale absente, README vide

Read the full file on GitHub · 83 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.

12d ago First seen · 83 lines · 30 tokens per session scan A 6906d1a15ea2

Subscribe to this mod's changes

onboard is a skill published in the GitHub repository GlamgarOnDiscord/claude-saas-blueprint (2 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 805 once invoked, about $0.0002 per session on Opus 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.

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