Oryntra: Skill for Claude Code

.agents/skills/postgresql-code-review/SKILL.md

postgresql-code-review is a skill for Claude Code, Codex from andersonlemesc/Oryntra. It costs 59 tokens per session (1,684 once invoked), scanned A, original, Apache-2.0.

A code-review assistant focused on PostgreSQL, a database system. It checks PostgreSQL-specific choices such as JSONB data, arrays, database design, query performance, and row-level security, which controls access to individual database rows.

In plain words
What is it for?
Use it to review selected code or a whole project that uses PostgreSQL, especially queries, JSONB fields, arrays, schemas, functions, indexes, and row-level security.
Why use it?
General code reviews may miss database-specific performance and security problems. This review focuses on PostgreSQL patterns such as indexable queries, validation, and safe data access.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is andersonlemesc/Oryntra's own configuration. It tells Claude Code and Codex how to work on Oryntra itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Oryntra configures →

Reuse

Borrowing it

Nothing to install: this file belongs to andersonlemesc/Oryntra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/andersonlemesc/Oryntra/main/.agents/skills/postgresql-code-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/andersonlemesc/Oryntra

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 postgresql-code-review

README.md
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Your own site
<a href="https://agentmods.dev/skills/andersonlemesc/oryntra/postgresql-code-review"><img src="https://agentmods.dev/badge/skills/andersonlemesc/oryntra/postgresql-code-review/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 postgresql-code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/andersonlemesc/oryntra/postgresql-code-review"><img src="https://agentmods.dev/badge/skills/andersonlemesc/oryntra/postgresql-code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,684 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 $0.00059 $0.01684
Opus 5.5 $0.00024 $0.00674
Sonnet 5.5 $0.00012 $0.00337
Haiku 4.5 $0.00006 $0.00168

Measured 1mo ago against content hash 5c2f68120440, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

postgresql-code-review 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 1mo 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.

.agents/skills/postgresql-code-review/SKILL.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PostgreSQL Code Review Assistant

Expert PostgreSQL code review for ${selection} (or entire project if no selection). Focus on PostgreSQL-specific best practices, anti-patterns, and quality standards that are unique to PostgreSQL.

🎯 PostgreSQL-Specific Review Areas

JSONB Best Practices

-- ❌ BAD: Inefficient JSONB usage
SELECT * FROM orders WHERE data->>'status' = 'shipped';  -- No index support

-- ✅ GOOD: Indexable JSONB queries
CREATE INDEX idx_orders_status ON orders USING gin((data->'status'));
SELECT * FROM orders WHERE data @> '{"status": "shipped"}';

-- ❌ BAD: Deep nesting without consideration
UPDATE orders SET data = data || '{"shipping":{"tracking":{"number":"123"}}}';

-- ✅ GOOD: Structured JSONB with validation
ALTER TABLE orders ADD CONSTRAINT valid_status 
CHECK (data->>'status' IN ('pending', 'shipped', 'delivered'));

Array Operations Review

-- ❌ BAD: Inefficient array operations
SELECT * FROM products WHERE 'electronics' = ANY(categories);  -- No index

-- ✅ GOOD: GIN indexed array queries
CREATE INDEX idx_products_categories ON products USING gin(categories);
SELECT * FROM products WHERE categories @> ARRAY['electronics'];

-- ❌ BAD: Array concatenation in loops
-- This would be inefficient in a function/procedure

-- ✅ GOOD: Bulk array operations
UPDATE products SET categories = categories || ARRAY['new_category']
WHERE id IN (SELECT id FROM products WHERE condition);

PostgreSQL Schema Design Review

-- ❌ BAD: Not using PostgreSQL features
CREATE TABLE users (
    id INTEGER,
    email VARCHAR(255),
    created_at TIMESTAMP
);

-- ✅ GOOD: PostgreSQL-optimized schema
CREATE TABLE users (
    id BIGSERIAL PRIMARY KEY,
    email CITEXT UNIQUE NOT NULL,  -- Case-insensitive email
    created_at TIMESTAMPTZ DEFAULT NOW(),
    metadata JSONB DEFAULT '{}',
    CONSTRAINT valid_email CHECK (email ~* '^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}$')
);

-- Add JSONB GIN index for metadata queries
CREATE INDEX idx_users_metadata ON users USING gin(metadata);

Read the full file on GitHub · 213 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. 1mo ago First seen · 213 lines · 59 tokens per session scan A 5c2f68120440

Subscribe to this mod's changes

postgresql-code-review is a skill published in the GitHub repository andersonlemesc/Oryntra (7 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 1,684 once invoked, about $0.0002 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.

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