dspy-optimization-not-improving

dspy-optimization-not-improving is a skill for Claude Code, Codex from vamseeachanta/workspace-hub. It costs 22 tokens per session (283 once invoked), scanned A, original, no licence file.

A troubleshooting guide for DSPy optimization that is not producing better results.

In plain words
What is it for?
Use it when diagnosing stalled optimization in DSPy-based language-model programs.
Why use it?
It helps investigate why changes to a DSPy workflow or prompt are failing to improve its output.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it when diagnosing stalled optimization in DSPy-based language-model programs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vamseeachanta/workspace-hub/optimization-not-improving
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 vamseeachanta/workspace-hub --skill optimization-not-improving
Clone the repo
git clone --depth 1 https://github.com/vamseeachanta/workspace-hub

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-optimization-not-improving

README.md
[![agentmods](https://agentmods.dev/badge/skills/vamseeachanta/workspace-hub/optimization-not-improving/github.svg)](https://agentmods.dev/skills/vamseeachanta/workspace-hub/optimization-not-improving)
Your own site
<a href="https://agentmods.dev/skills/vamseeachanta/workspace-hub/optimization-not-improving"><img src="https://agentmods.dev/badge/skills/vamseeachanta/workspace-hub/optimization-not-improving/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-optimization-not-improving

Your own site · 80×15
<a href="https://agentmods.dev/skills/vamseeachanta/workspace-hub/optimization-not-improving"><img src="https://agentmods.dev/badge/skills/vamseeachanta/workspace-hub/optimization-not-improving.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 283 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 $0.00022 $0.00283
Opus 5 $0.00011 $0.00142
Sonnet 5 $0.00004 $0.00057
Haiku 4.5 $0.00002 $0.00028

Measured 7d ago against content hash 7130a6f7a0f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

dspy-optimization-not-improving 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 7d 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/skills/_archive/ai/prompting/dspy/optimization-not-improving/SKILL.md · 55 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

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. 7d ago First seen · 55 lines · 22 tokens per session scan A 7130a6f7a0f4

Subscribe to this mod's changes

dspy-optimization-not-improving is a skill published in the GitHub repository vamseeachanta/workspace-hub (16 stars, last pushed yesterday), with no licence file. It adds 22 tokens to every session and 283 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 2026-09-01.

Related

Other skills, from other repositories

notebooklm

Install, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API.…

teng-lin/notebooklm-py · 79 tokens

debug-inference

Debug why inference.local, direct external inference, or supervisor-only system inference is failing. Use when the user cannot reach a local model server, has provider base URL issues, sees inference verification failures, hits protocol mismatches, or needs to diagnose inference on local vs remote gateways. Trigger…

NVIDIA/OpenShell · 114 tokens

oh-my-posh

Install, configure, or troubleshoot Oh My Posh/ohmyposh: shell init, themes, segments, Nerd Font icons, and prompt setup on PowerShell, zsh, bash, or fish.

JanDeDobbeleer/oh-my-posh · 47 tokens

eagle3-triage

Triage a failed EAGLE3 pipeline run. Identifies which step failed (data synthesis, hidden state dump, training, or benchmark), diagnoses root cause from logs, and suggests fixes. Use when user reports an EAGLE3 pipeline failure or asks why a specific step failed. Also helps debug new model support issues.

NVIDIA/Model-Optimizer · 73 tokens

spark-engineer

Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure…

Jeffallan/claude-skills · 75 tokens

trulens-instrumentation

Instrument LLM apps with TruLens OTEL-based tracing - from setup to debugging and optimization.

truera/trulens · 25 tokens