rag-code-gen SKILL.md skillA

rag-code-gen from smart-ai-memory/attune-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add smart-ai-memory/attune-ai/rag-code-gen@git:20260717.b597e40

Pins git:20260717.b597e40 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
smart-ai-memory/attune-ai
Path
.agents/skills/rag-code-gen/SKILL.md
Versions recorded
3
Latest version
git:20260717.b597e40, committed Jul 17, 2026
First version recorded
Apr 18, 2026
Size
2,896 bytes
Repository stars
11
License
Apache-2.0

RAG-grounded code generation with source citations. Triggers on: grounded code, ground this, cite sources, show me with sources, how do I with attune, reference attune docs, grounded against attune docs.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# RAG-grounded code generation

attune-rag ships with attune-ai core (`pip install attune-ai`).
Grounds code generation in the attune-help template corpus
so outputs cite real APIs, workflow names, and patterns
instead of hallucinating them. Every output ends with a
`## Sources` block of clickable citations.

## Scoping

Before running, ask:

1. **What are you trying to produce?** Code, config,
   explanation, or a mix?
2. **Any specific attune surface?** e.g. "the
   security-audit workflow", "MCP tool pattern", "BaseWorkflow
   subclass". Helps retrieval hit the right concept file.
3. **Depth?** Default is `standard`. `quick` saves time
   and budget for simple asks; `deep` is for complex
   multi-file or architectural questions.

## Running

```
attune workflow run rag-code-gen \
  --input '{"query": "<the request>"}'
```

Optional inputs:

- `k` — max grounding docs to retrieve (default 3)
- `depth` — `quick` / `standard` / `deep`
- `feedback` — pass `good` or `bad` AFTER inspecting the
  output to record a verdict against every cited template
- `model` — override the generator model if you need to

## Output shape

`WorkflowResult.final_output` is a string with two parts:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add smart-ai-memory/attune-ai/rag-code-gen@sha256:4f24c3292354ec8d

The line at the top of this page pins the label git:20260717.b597e40, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_sqjyylxxosrgo4rm.svg)](https://markdownregistry.com/a/art_sqjyylxxosrgo4rm)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Apr 18, 2026 and Jul 17, 2026, about one every 45 days.

versioncommittedcommitsizeaudit
git:20260717.b597e40 latest2026-07-17 b597e40 2,896 BA view · diff
git:20260625.f0bf5092026-06-25 f0bf509 2,851 BA view · diff
git:20260418.dd8eff52026-04-18 dd8eff5 2,844 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2896 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

smart-ai-memory/attune-ai · 11 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_sqjyylxxosrgo4rm
GET https://markdownregistry.com/api/v1/resolve?ref=smart-ai-memory/attune-ai/rag-code-gen
GET https://markdownregistry.com/api/v1/blob/4f24c3292354ec8dc7c9cf72119902c83802d599bfbb5c0efea18e8625281827

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in smart-ai-memory/attune-ai

Other files named rag-code-gen

rag-code-gen SKILL.md skill
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git:20260717.b597e40 · audit A · 11 stars

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