angora-schema

angora-schema is a skill for Claude Code from Aysnc-Labs/angora. It costs 161 tokens per session (1,090 once invoked), scanned A, original, MIT.

A guide for designing and changing SQLite database tables with Drizzle ORM, a tool for defining database structure in code.

In plain words
What is it for?
Use it when adding or changing tables, relationships, many-to-many links, validation rules, search-friendly page fields, publication status, or media links.
Why use it?
It helps prevent future data-model problems by checking relationships, repeated data, constraints, page fields, and media references before changes are made.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it when adding or changing tables, relationships, many-to-many links, validation rules, search-friendly page fields, publication status, or media links.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aysnc-labs/angora/angora-schema
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 Aysnc-Labs/angora --skill angora-schema
Clone the repo
git clone --depth 1 https://github.com/Aysnc-Labs/angora

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 angora-schema

README.md
[![agentmods](https://agentmods.dev/badge/skills/aysnc-labs/angora/angora-schema/github.svg)](https://agentmods.dev/skills/aysnc-labs/angora/angora-schema)
Your own site
<a href="https://agentmods.dev/skills/aysnc-labs/angora/angora-schema"><img src="https://agentmods.dev/badge/skills/aysnc-labs/angora/angora-schema/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 angora-schema

Your own site · 80×15
<a href="https://agentmods.dev/skills/aysnc-labs/angora/angora-schema"><img src="https://agentmods.dev/badge/skills/aysnc-labs/angora/angora-schema.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 161 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,090 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 $0.00161 $0.01090
Opus 5.5 $0.00064 $0.00436
Sonnet 5.5 $0.00032 $0.00218
Haiku 4.5 $0.00016 $0.00109

Measured 2mo ago against content hash c2626658a5c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

angora-schema 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 2mo 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/angora-schema/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Schema: $ARGUMENTS

Before you start

  1. Read src/system.md — understand the site's intent and scope.
  2. Read schema — glob src/data/schema/tables/*.ts to discover tables, then read the relevant files. One file per table.

Analysis phase (always happens)

Whether the user gives you structured data or a vague description, always analyze first. Ask yourself:

  • "Six months from now, what will they wish they had modeled?"
  • Arrays of objects → child tables
  • Repeated file references → media references (FK to media)
  • Many-to-many relationships → junction tables
  • Enum-like values → CHECK constraints or lookup tables
  • Is this content that drives pages? → needs SEO + status fields

Ask the user probing questions. Don't just accept the first description — refine it.

Schema conventions

Every table gets:

  • id INTEGER PRIMARY KEY AUTOINCREMENT
  • created_at TEXT NOT NULL DEFAULT (datetime('now'))
  • Foreign keys where appropriate

Page-driving tables

When records will get their own pages (blog posts, case studies, team members, cities), add:

  • slug TEXT NOT NULL UNIQUE — URL-safe identifier
  • meta_title TEXT — for <title> tag
  • meta_description TEXT — for <meta name="description"> and OG tags
  • status TEXT NOT NULL DEFAULT 'draft' with CHECK (status IN ('draft', 'published')) — enables content staging, only published records render

Explain to the user why these fields matter (SEO, content staging, clean URLs).

Media references

Use media_id INTEGER REFERENCES media(id) for a primary image/asset. For multiple images, consider a junction table.

Presentation before execution

Before changing any files:

  1. Show the Drizzle table definition — the TypeScript that will go in its own file under schema/
  2. Show example data — 2-3 realistic rows per table
  3. Show example queries — Drizzle queries page templates will need (e.g., db.select().from(testimonials).where(eq(testimonials.status, 'published')))
  4. Wait for user approval — all schema changes require explicit approval

Read the full file on GitHub · 113 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 113 lines · 161 tokens per session scan A c2626658a5c9

Subscribe to this mod's changes

angora-schema is a skill published in the GitHub repository Aysnc-Labs/angora (6 stars, last pushed 6mo ago), licensed MIT. It adds 161 tokens to every session and 1,090 once invoked, about $0.0006 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 2026-08-31.

Related

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