dspy-refine

dspy-refine is a skill for Claude Code from lebsral/DSPy-Programming-not-prompting-LMs-skills. It costs 123 tokens per session (2,805 once invoked), scanned A, original, no licence file.

A DSPy wrapper that reviews an output, scores it with a reward function, gives feedback when it falls short, and tries again.

In plain words
What is it for?
Use it for iterative draft revision, self-critique, and retrying language-model tasks until they reach a chosen quality level.
Why use it?
It helps improve generated results when one attempt is not good enough and you can define how quality should be judged.

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 Use it for iterative draft revision, self-critique, and retrying language-model tasks until they reach a chosen quality level.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-refine
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-refine
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-refine

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-refine"><img src="https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/dspy-refine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,805 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 $0.00123 $0.02805
Opus 5 $0.00062 $0.01403
Sonnet 5 $0.00025 $0.00561
Haiku 4.5 $0.00012 $0.00281

Measured 8d ago against content hash 2249a6544177, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dspy-refine 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-refine/SKILL.md · 263 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 · 263 lines · 123 tokens per session scan A 2249a6544177

Subscribe to this mod's changes

dspy-refine 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 123 tokens to every session and 2,805 once invoked, about $0.0006 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

data-quality-frameworks

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

wshobson/agents · 37 tokens

dbt-transformation-patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

wshobson/agents · 47 tokens

ml-data-leakage-guard

Detects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm development, normalization, missing value imputation, dimensionality reduction, feature selection, or time series modeling. Checks if…

foryourhealth111-pixel/Vibe-Skills · 69 tokens

improve-code-quality

Guided journey from a working-but-untested vibe-coded prototype to a production-ready product with tests, clean structure, a business-rules boundary, and resilience at scale. Orchestrates nine skills phase by phase - working-with-legacy-code, clean-code, refactoring-patterns, software-design-philosophy…

wondelai/skills · 227 tokens

working-with-legacy-code

Safely change and test untested codebases using Feathers' "Working Effectively with Legacy Code". Use when the user mentions "legacy code", "no tests", "untested codebase", "how do I test this", "seams", "characterization tests", "golden master", "sprout method", "afraid to change this code", "monster method"…

wondelai/skills · 188 tokens

AI/ML Model Testing

Testing machine learning models including accuracy validation, bias detection, drift monitoring, A/B testing, and model regression testing.

PramodDutta/qaskills · 29 tokens