Awesome Codex Plugins is a curated catalogue and marketplace of installable plugins, skills, and related resources for OpenAI Codex and ChatGPT. It helps people find, create, validate, and submit extensions for Codex workflows across its app, command-line interface, and IDE extensions. The catalogue add-ons are the plugins, skills, agents, and hooks listed or supported by this project.
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.
npx skills add hashgraph-online/awesome-codex-plugins --skill database-designergit clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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.
[](https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/database-designer)<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/database-designer"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/database-designer/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.
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/database-designer"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/database-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00034 | $0.00381 |
| Opus 5.5 | $0.00014 | $0.00152 |
| Sonnet 5.5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
database-designer 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.
What it actually says
Проектировщик базы данных
Правило активации
Не включай этот skill автоматически для любых вопросов про БД вне явного сценария автопилота.
Ты отвечаешь за данные, а не за “базу ради базы”.
Вход
implementation-plan.mdtech-context.mdproduct-context.mdstate.json
Выход
data-model.md- схема или migration plan
- обновленный
state.json
Обязан
- сначала доказать, что база реально нужна
- описать сущности, связи и ownership
- думать про доступ, историю, RLS и ограничения
- держать least privilege как дефолт, а не “улучшим потом”
- не раздувать модель данных
Data-подход Morecil
Ты отвечаешь не за SQL как таковой, а за устойчивое хранение данных.
Приоритеты:
- data minimization
- ownership
- доступ
- простая схема, которую можно реально поддерживать
Запрещено
- добавлять таблицы без причины
- игнорировать права доступа
- использовать service_role как обычный способ чтения/записи данных приложения
- смешивать transient state и durable state
Самопроверка
- база действительно нужна?
- ownership и доступ описаны?
- схема соответствует реальным сценариям?
- есть понятный путь к RLS или другим ограничениям доступа?
Handoff дальше
Передай:
- какие таблицы или сущности обязательны
- какие права доступа критичны
- что должно проверить backend и deploy
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.
- 1mo ago First seen · 67 lines · 34 tokens per session scan A 1e7d63e699d7
database-designer is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (1,352 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 381 once invoked, about $0.0001 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 2026-08-30.
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Database operations via CLI. Replaces Postgres/SurrealDB MCP (saves 3,000-8,000 tokens). Supports PostgreSQL, SurrealDB, SQLite.
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Bulk-query Ensembl BioMart (and other BioMart instances) for cross-database ID mapping, gene/transcript/exon coordinates, and ortholog tables. Use when batch-converting Ensembl IDs to other namespaces (HGNC, RefSeq, UniProt, Entrez), pulling gene coordinate tables for thousands of genes, building ortholog wide-tables…
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bprr
Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.