angora-data

angora-data is a skill for Claude Code from Aysnc-Labs/angora. It costs 145 tokens per session (714 once invoked), scanned A, original, MIT.

A small SQLite database helper for inspecting tables, adding one column, inserting a few test rows, or running read-only queries. SQLite is a database stored in a file, and Drizzle is the tool used here to describe and update its tables.

In plain words
What is it for?
Use it to inspect the database structure, add a column through a Drizzle migration, seed 2–5 sample records, or check data with a read-only SELECT or COUNT query.
Why use it?
It removes the need to remember the project's database files, schema locations, migration steps, and query syntax for simple data tasks.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to inspect the database structure, add a column through a Drizzle migration, seed 2–5 sample records, or check data with a read-only SELECT or COUNT query.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aysnc-labs/angora/angora-data
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-data
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-data

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/aysnc-labs/angora/angora-data"><img src="https://agentmods.dev/badge/skills/aysnc-labs/angora/angora-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 714 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 $0.00145 $0.00714
Opus 5.5 $0.00058 $0.00286
Sonnet 5.5 $0.00029 $0.00143
Haiku 4.5 $0.00015 $0.00071

Measured 2mo ago against content hash 826cbb44500a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

angora-data 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-data/SKILL.md · 75 lines

What it actually says

Data: $ARGUMENTS

Quick operations on the SQLite content layer (src/data/data.sqlite).

Commands

Command Action
schema (or no arguments) Show full database schema (glob src/data/schema/tables/*.ts)
add column <table> <column> Add a column to the Drizzle schema, generate and apply migration (confirm first)
seed <table> Generate 2-5 realistic sample rows
query <description> Run a read-only query and display results

Schema inspection

Glob src/data/schema/tables/*.ts to discover tables, then read individual files for column details. No need to query the database for structure.

Read-only queries

node -e "
  import db from './src/data/db.ts';
  import { media } from './src/data/schema/tables/media.ts';
  const rows = db.select().from(media).all();
  console.table(rows);
"

Use Drizzle's typed API. Import the relevant table from schema/tables/<table>.ts and use db.select(), .where(), etc.

Schema changes (ALTER TABLE, etc.)

All DDL goes through the Drizzle workflow:

  1. Edit the table's file in src/data/schema/tables/ — add the column to the table definition
  2. Generate migration — pnpm db:generate
  3. Apply migration — pnpm db:migrate

Each step requires user approval.

Seeding data

node -e "
  import db from './src/data/db.ts';
  import { <table> } from './src/data/schema/tables/<table>.ts';
  db.insert(<table>).values([
    { /* row 1 */ },
    { /* row 2 */ },
  ]).run();
  console.log('Seeded.');
"

Rules

  • All schema changes require user approval before executing.
  • Foreign keys are ON — respect referential integrity.
  • Use text() for dates (ISO 8601 format).
  • Use integer() for booleans (0/1).
  • query runs read-only — refuse writes via this command.

For heavier work

This skill is for quick operations. For more involved work, use /angora:

  • Schema design (new tables, relational modeling, SEO fields) → /angora-schema
  • Data import (CSV, JSON from inbox) → /angora-import
  • Media processing (images from inbox) → /angora-media
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 · 75 lines · 145 tokens per session scan A 826cbb44500a

Subscribe to this mod's changes

angora-data is a skill published in the GitHub repository Aysnc-Labs/angora (6 stars, last pushed 6mo ago), licensed MIT. It adds 145 tokens to every session and 714 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

angora-data compared with skills from other repositories

angora-data next to 6 skills from other repositories
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angora-dataAysnc-Labs/angoraSkill66mo agoMITA145Claude Code
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planning-disaster-recoveryancoleman/ai-design-componentsSkill52711mo agoMITA58Claude Code
using-relational-databasesancoleman/ai-design-componentsSkill52711mo agoMITA92Claude Code
ingesting-dataancoleman/ai-design-componentsSkill52711mo agoMITA53Claude Code