ai-tracking-experiments

ai-tracking-experiments is a skill for Claude Code from lebsral/DSPy-Programming-not-prompting-LMs-skills. It costs 133 tokens per session (3,727 once invoked), scanned A, original, no licence file.

Experiment tracking for AI optimization work. It records and compares different optimization runs, such as changes to prompts or program settings, so you can identify and reproduce the best result.

In plain words
What is it for?
Use it to compare optimization passes, select a prompt configuration to deploy, reproduce earlier results, and manage related optimization files.
Why use it?
It removes the need to remember which version performed best or search through scattered optimization files. It also helps explain deployment choices and monitor experiment costs.

Skill for Claude Code

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

Part of the dspy-ops-skills plugin — 8 skills shipped together

Good fit Use it to compare optimization passes, select a prompt configuration to deploy, reproduce earlier results, and manage related optimization files.

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

Made for: Claude Code.

Or install dspy-ops-skills, the plugin that ships this one along with the rest of its 8 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 ai-tracking-experiments

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-tracking-experiments"><img src="https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-tracking-experiments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,727 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 $0.00133 $0.03727
Opus 5.5 $0.00053 $0.01491
Sonnet 5.5 $0.00027 $0.00745
Haiku 4.5 $0.00013 $0.00373

Measured 1mo ago against content hash 2965962ecde7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-tracking-experiments 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 1mo 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/ai-tracking-experiments/SKILL.md · 384 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. 1mo ago First seen · 384 lines · 133 tokens per session scan A 2965962ecde7

Subscribe to this mod's changes

ai-tracking-experiments is a skill published in the GitHub repository lebsral/DSPy-Programming-not-prompting-LMs-skills (12 stars, last pushed 4mo ago), with no licence file. It adds 133 tokens to every session and 3,727 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.

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