dspy-ensemble

dspy-ensemble is a skill for Claude Code from lebsral/DSPy-Programming-not-prompting-LMs-skills. It costs 165 tokens per session (3,119 once invoked), scanned A, original, no licence file.

An ensemble tool for DSPy that combines several optimized programs into one. An ensemble is a group of programs whose outputs are combined using voting, averaging, or a custom rule.

In plain words
What is it for?
It is for joining DSPy programs with majority voting, averaging, or custom reduction logic.
Why use it?
It helps combine multiple optimization results when one program alone may give less reliable outputs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dspy-api-skills plugin — 39 skills shipped together

Good fit It is for joining DSPy programs with majority voting, averaging, or custom reduction logic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-ensemble
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 lebsral/DSPy-Programming-not-prompting-LMs-skills --skill dspy-ensemble
Clone the repo
git clone --depth 1 https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills

Made for: Claude Code.

Or install dspy-api-skills, the plugin that ships this one along with the rest of its 39 skills.

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-ensemble

README.md
[![agentmods](https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-ensemble/github.svg)](https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-ensemble)
Your own site
<a href="https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-ensemble"><img src="https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-ensemble/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-ensemble

Your own site · 80×15
<a href="https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-ensemble"><img src="https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-ensemble.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 165 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,119 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 $0.00165 $0.03119
Opus 5 $0.00082 $0.01559
Sonnet 5 $0.00033 $0.00624
Haiku 4.5 $0.00016 $0.00312

Measured 8d ago against content hash 453dec8e4384, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dspy-ensemble 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 8d 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.

skills/dspy-ensemble/SKILL.md · 283 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. 8d ago First seen · 283 lines · 165 tokens per session scan A 453dec8e4384

Subscribe to this mod's changes

dspy-ensemble is a skill published in the GitHub repository lebsral/DSPy-Programming-not-prompting-LMs-skills (11 stars, last pushed 2mo ago), with no licence file. It adds 165 tokens to every session and 3,119 once invoked, about $0.0008 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

sgc-install-ai

A workflow for adding an AI feature to an existing or new app, from the user-facing entry point to the service that sends requests to AI models.

lovstudio/skills · 68 tokens

fec-drawio-studio

An editable workflow for making technical diagrams in draw.io (also called diagrams.net), with the original .drawio file saved alongside exported images or documents. It covers architecture, database, UML, sequence, flow, machine-learning, and code-structure diagrams.

bovinphang/frontend-craft · 154 tokens

app-icon-composer

Produce HIG-correct, Icon Composer-ready layered app icons for iOS/iPadOS/macOS/watchOS 26 (Liquid Glass) — apply Apple's app-icon guidelines, design the layer stack and Default/Dark/Mono appearances, and author the art as SVG the model can write directly (no paid generator required), falling back to image-gen MCPs…

markdavidgan/apple-dev-skills · 131 tokens

apple-foundation-models

On-device AI with Apple's Foundation Models framework (import FoundationModels) in iOS 26 / Apple Intelligence — LanguageModelSession, guided generation with @Generable/@Guide, streaming, tool calling, and availability gating. Use when the user wants on-device LLM features, Apple Intelligence integration…

markdavidgan/apple-dev-skills · 101 tokens

data-pipeline

Builds automated sports analytics pipelines -- daily data pulls, scheduled prediction generation, model versioning, prediction tracking, and drift alerting. Use when user asks how to automate their model, how to run predictions every morning, how to set up a cron job for sports data, how to track model performance…

PuckAPI/claude-sports-analytics · 119 tokens

model-building

Trains and validates prediction models for sports game outcomes. Use when user asks about building a prediction model, training a classifier, choosing between logistic regression or XGBoost, model selection, hyperparameter tuning, feature importance, or ensemble methods. Always uses walk-forward methodology -- refuses…

PuckAPI/claude-sports-analytics · 101 tokens