nixtla-experiment-architect

nixtla-experiment-architect is a skill for Claude Code from jeremylongshore/plugins-nixtla. It costs 69 tokens per session (866 once invoked), scanned A, original, no licence file.

A setup assistant for forecasting experiments using Nixtla's StatsForecast, MLForecast, and TimeGPT libraries. It creates the files and workflows needed to compare forecasting models and test them on past data.

In plain words
What is it for?
Use it to start a forecasting project, build a forecasting test harness, compare several models, or evaluate models on historical time-series data.
Why use it?
It removes the repetitive work of assembling experiment configuration, comparison code, and cross-validation. Cross-validation checks how well a model would have forecast earlier periods.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to start a forecasting project, build a forecasting test harness, compare several models, or evaluate models on historical time-series data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongshore/plugins-nixtla/nixtla-experiment-architect
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 jeremylongshore/plugins-nixtla --skill nixtla-experiment-architect
Clone the repo
git clone --depth 1 https://github.com/jeremylongshore/plugins-nixtla

Made for: Claude Code.

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 nixtla-experiment-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongshore/plugins-nixtla/nixtla-experiment-architect/github.svg)](https://agentmods.dev/skills/jeremylongshore/plugins-nixtla/nixtla-experiment-architect)
Your own site
<a href="https://agentmods.dev/skills/jeremylongshore/plugins-nixtla/nixtla-experiment-architect"><img src="https://agentmods.dev/badge/skills/jeremylongshore/plugins-nixtla/nixtla-experiment-architect/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 nixtla-experiment-architect

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongshore/plugins-nixtla/nixtla-experiment-architect"><img src="https://agentmods.dev/badge/skills/jeremylongshore/plugins-nixtla/nixtla-experiment-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 866 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 $0.00069 $0.00866
Opus 5 $0.00034 $0.00433
Sonnet 5 $0.00014 $0.00173
Haiku 4.5 $0.00007 $0.00087

Measured 11d ago against content hash f7537716de3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nixtla-experiment-architect 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 11d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (assets/templates/experiments_template.py, resources/TEMPLATES/experiments_full.py, scripts/generate_config.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

003-skills/.claude/skills-backup-20251210-155310/nixtla-experiment-architect/SKILL.md · 148 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 11d ago First seen · 148 lines · 69 tokens per session scan A f7537716de3d

Subscribe to this mod's changes

nixtla-experiment-architect is a skill published in the GitHub repository jeremylongshore/plugins-nixtla (11 stars, last pushed yesterday), with no licence file. It adds 69 tokens to every session and 866 once invoked, about $0.0003 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 2026-08-31.

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