dspy

dspy is a skill for Claude Code, Codex from ariffazil/AAA. It costs 19 tokens per session (3,737 once invoked), scanned A, original, AGPL-3.0.

A framework for defining AI language-model programs, including prompt workflows and RAG, and automatically improving their prompts.

In plain words
What is it for?
Use it to create declarative language-model programs, improve prompts automatically, and build RAG workflows.
Why use it?
It reduces manual prompt tuning when building language-model applications.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to create declarative language-model programs, improve prompts automatically, and build RAG workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ariffazil/aaa/dspy
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 ariffazil/AAA --skill dspy
Clone the repo
git clone --depth 1 https://github.com/ariffazil/AAA

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 dspy

README.md
[![agentmods](https://agentmods.dev/badge/skills/ariffazil/aaa/dspy/github.svg)](https://agentmods.dev/skills/ariffazil/aaa/dspy)
Your own site
<a href="https://agentmods.dev/skills/ariffazil/aaa/dspy"><img src="https://agentmods.dev/badge/skills/ariffazil/aaa/dspy/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 dspy

Your own site · 80×15
<a href="https://agentmods.dev/skills/ariffazil/aaa/dspy"><img src="https://agentmods.dev/badge/skills/ariffazil/aaa/dspy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,737 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 $0.00019 $0.03737
Opus 5 $0.00010 $0.01869
Sonnet 5 $0.00004 $0.00747
Haiku 4.5 $0.00002 $0.00374

Measured 6d ago against content hash 67410a6b216d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

dspy 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 6d 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/hermes-asi/runtime/skills/mlops/research/dspy/SKILL.md · 595 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 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. 6d ago First seen · 595 lines · 19 tokens per session scan A 67410a6b216d

Subscribe to this mod's changes

dspy is a skill published in the GitHub repository ariffazil/AAA (2 stars, last pushed yesterday), licensed AGPL-3.0. It adds 19 tokens to every session and 3,737 once invoked, about $0.0001 per session on Opus 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 2026-09-03.

Related

Other skills, from other repositories

software-ai-integration

Applies production AI integration patterns for chat, structured output, guardrails, provider routing, and AI UX. Use when adding LLM-powered features to an application.

vasilyu1983/AI-Agents-public · 38 tokens

oracle

Designing and evaluating AI/ML systems: prompt engineering, RAG design, LLM application patterns, AI safety, evaluation frameworks, MLOps, cost optimization. Use for AI pipelines or eval harnesses.

simota/agent-skills · 45 tokens

ai-orchestration-langchain

LangChain.js patterns for building LLM applications — chat models, LCEL chains, prompt templates, structured output, agents, tools, RAG, streaming, and LangSmith tracing.

agents-inc/skills · 43 tokens

ai-engineering-toolkit

AI Engineering Toolkit workflow skill. Use this skill when the user needs 6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching and the operator…

diegosouzapw/awesome-omni-skills · 81 tokens

prompt-cache-agent-harness

Plan and inspect prompt-cache behavior for long-running Claude agent loops. Use when a user wants to split stable tool, system, and history context into cacheable layers, compare captured cache metadata, estimate cost impact from supplied pricing inputs, or keep durable memory outside the cached prefix.

Prompthon-IO/agent-systems-handbook · 61 tokens

performant-ai

Strategies for high-performance AI/LLM systems (Context Management, Prompt Engineering, RAG, Inference Tuning).

andreibesleaga/GABBE · 28 tokens