dspy SKILL.md skillA

dspy from magnus919/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add magnus919/agent-skills/dspy@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
magnus919/agent-skills
Path
dspy/SKILL.md
Versions recorded
3
Latest version
v1.1.0, committed Sep 2, 2026
First version recorded
Jul 9, 2026
Size
7,879 bytes
Repository stars
140
License
MIT

Optimize and build programmatic prompt systems with Stanford DSPy. Signatures, modules (Predict, ChainOfThought, ReAct), optimizer/teleprompter selection, compilation, caching, evaluation. Use when doing programmatic prompt optimization or building compiled prompt programs. Do not use this skill for unrelated requests; route to the nearest named specialist.

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

# DSPy Expert Skill

DSPy is a **compiler for prompt programs**, not a chain or RAG framework. You write Python programs with typed signatures and DSPy optimizes the prompts automatically.

> **⚠️ DSPy is NOT a chain framework.** It does not use `prompt | model | parser`. It does not have LCEL. DSPy operates at a different layer: you define a program with Python control flow and typed signatures, then the *compiler* optimizes the prompts against a metric. If you reach for DSPy expecting LangChain-style composition, you are reaching for the wrong tool.

Think of it as PyTorch for LMs — you define the architecture, the compiler tunes the weights (prompts).

## Core Paradigm

> Read this first. It is the most important thing to understand about DSPy.

```python
import dspy

# 1. Configure the LM
lm = dspy.LM("openai/gpt-4o-mini")
dspy.configure(lm=lm)

# 2. Define a signature (input/output schema)
class QASignature(dspy.Signature):
    """Answer questions concisely."""
    question: str = dspy.InputField()
    answer: str = dspy.OutputField()

# 3. Build a program using modules
qa = dspy.ChainOfThought(QASignature)

# 4. Compile against a metric
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add magnus919/agent-skills/dspy@sha256:3ee9a82a13ffb81a

The line at the top of this page pins the label v1.1.0, 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_vnpayxjfhizcon7x.svg)](https://markdownregistry.com/a/art_vnpayxjfhizcon7x)

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

Versions

The registry has recorded 3 versions of this file, between Jul 9, 2026 and Sep 2, 2026, about one every 27 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-09-02 035e58d 7,879 BA view · diff
v1.1.02026-07-09 6c193ae 7,820 BA view · diff
v1.0.32026-07-09 9504667 7,615 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 (7879 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

magnus919/agent-skills · 140 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vnpayxjfhizcon7x
GET https://markdownregistry.com/api/v1/resolve?ref=magnus919/agent-skills/dspy
GET https://markdownregistry.com/api/v1/blob/3ee9a82a13ffb81a27893eb5989debed1b9d3aa7fb3effa5e01b077c240b8912

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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