dify-nl2sql-docker

dify-nl2sql-docker is a skill for Codex from binrogithub/1-3-Cloud-Adoption-Skills. It costs 99 tokens per session (1,167 once invoked), scanned A, original, no licence file.

A guide for a local Docker-based Dify NL2SQL proof of concept. NL2SQL means turning plain-language database questions into SQL queries; Dify is a tool for building AI workflows.

In plain words
What is it for?
Use it to configure Dify workflows, connect an OpenAI-compatible LiteLLM model such as GLM-5.1, set up PostgreSQL and pgAdmin, and validate database communication.
Why use it?
It helps connect an AI workflow to PostgreSQL while restricting generated queries to a safe, read-only execution gateway.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to configure Dify workflows, connect an OpenAI-compatible LiteLLM model such as GLM-5.1, set up PostgreSQL and pgAdmin, and validate database communication.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/binrogithub/1-3-cloud-adoption-skills/dify-nl2sql-docker
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 binrogithub/1-3-Cloud-Adoption-Skills --skill dify-nl2sql-docker
Clone the repo
git clone --depth 1 https://github.com/binrogithub/1-3-Cloud-Adoption-Skills

Made for: 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 dify-nl2sql-docker

README.md
[![agentmods](https://agentmods.dev/badge/skills/binrogithub/1-3-cloud-adoption-skills/dify-nl2sql-docker/github.svg)](https://agentmods.dev/skills/binrogithub/1-3-cloud-adoption-skills/dify-nl2sql-docker)
Your own site
<a href="https://agentmods.dev/skills/binrogithub/1-3-cloud-adoption-skills/dify-nl2sql-docker"><img src="https://agentmods.dev/badge/skills/binrogithub/1-3-cloud-adoption-skills/dify-nl2sql-docker/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 dify-nl2sql-docker

Your own site · 80×15
<a href="https://agentmods.dev/skills/binrogithub/1-3-cloud-adoption-skills/dify-nl2sql-docker"><img src="https://agentmods.dev/badge/skills/binrogithub/1-3-cloud-adoption-skills/dify-nl2sql-docker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,167 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 unknown 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 $0.00099 $0.01167
Opus 5.5 $0.00040 $0.00467
Sonnet 5.5 $0.00020 $0.00233
Haiku 4.5 $0.00010 $0.00117

Measured 1mo ago against content hash 73469e74e9d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dify-nl2sql-docker 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.

AI/AI-Applications/dify-nl2sql-docker/SKILL.md · 151 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 files 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. 1mo ago First seen · 151 lines · 99 tokens per session scan A 73469e74e9d4

Subscribe to this mod's changes

dify-nl2sql-docker is a skill published in the GitHub repository binrogithub/1-3-Cloud-Adoption-Skills (13 stars, last pushed 20d ago), with no licence file. It adds 99 tokens to every session and 1,167 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

pgvector-semantic-search

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: Store or search vector embeddings in PostgreSQL Set up semantic search, similarity search, or nearest neighbor search Create HNSW or IVFFlat indexes for vectors…

timescale/pg-aiguide · 190 tokens

postgres-hybrid-text-search

Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). Trigger when user asks to: Combine keyword and semantic search Implement hybrid search or multi-modal retrieval Use BM25/pgtextsearch with pgvector together Implement RRF (Reciprocal…

timescale/pg-aiguide · 162 tokens

vector-db-rag-expert

Expert guide for high-performance Vector Databases, Deep RAG architectures, pgvector 0.8+ HNSW, Reciprocal Rank Fusion (RRF), Cross-Encoder Re-ranking, and Late Chunking / Panduan ahli Vector DB, arsitektur Deep RAG, pgvector HNSW, RRF, dan Re-ranking.

roedyrustam/vibes-plug · 77 tokens

postgres-semantic-search

Builds and tunes PostgreSQL retrieval with pgvector, full-text search, pgtrgm, hybrid fusion, ParadeDB BM25 and reranking. Use for search/RAG implementation, weak results, filtered ANN scans, non-English corpora or retrieval evaluation. For general schema, RLS and query tuning unrelated to retrieval, use…

laguagu/claude-code-nextjs-skills · 80 tokens

data-mcp-tools

Use when tools from the jupyter, duckdb, dbt, mlflow, huggingface or postgres MCP servers appear in your tool list, or before reaching for one — what each is good for, what it can damage, and the CLI fallback when it is not connected.

makifbaysal/tasktrooper · 60 tokens

ai-vector-brain

Creates reusable vector-brain implementations: repo, docs, compliance. Use when building pgvector SQL, manifests, ingest scripts. Not for context design (dev-context-engineering).

vasilyu1983/AI-Agents-public · 40 tokens