run

run is a skill for Claude Code, Codex from jamesgray-ai/handsonai-plugins. It costs 94 tokens per session (3,002 once invoked), scanned A, original, MIT.

A guide for putting a designed and tested AI workflow into operation. It creates plain-language instructions for setup, deployment, execution, testing, and sharing.

In plain words
What is it for?
Use it to prepare deployment instructions, explain how to run and test an AI workflow, and show others how to use it.
Why use it?
It bridges the gap between having workflow files and having a workflow that people can actually run. The instructions are adapted to the user's platform and technical comfort level.

Skill for Claude CodeCodex

Part of the handsonai plugin — 13 skills, 1 agent shipped together

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.

agentmods
npx agentmods add skills/jamesgray-ai/handsonai-plugins/run
Any agent
npx skills add jamesgray-ai/handsonai-plugins --skill run
Clone the repo
git clone --depth 1 https://github.com/jamesgray-ai/handsonai-plugins

Made for: Claude Code, Codex.

Or install handsonai, the plugin that ships this one along with the rest of its 13 skills, 1 agent.

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 run

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/run.svg)](https://agentmods.dev/skills/jamesgray-ai/handsonai-plugins/run)
Your own site
<a href="https://agentmods.dev/skills/jamesgray-ai/handsonai-plugins/run"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/run.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,002 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00094 $0.03002
Opus 5 $0.00047 $0.01501
Sonnet 5 $0.00019 $0.00600
Haiku 4.5 $0.00009 $0.00300

Measured 5d ago against content hash 5bf2ac1270e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

run 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 5d 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.

plugins/handsonai/skills/run/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow Run Guide

Generate a Run Guide for deploying, executing, and testing an AI workflow. The Run Guide bridges the gap between "artifacts exist" and "workflow is running."

Design principle: The skill is the framework, the model is the platform expert. No platform-specific details appear in generated artifacts or user-facing recommendations — all platform knowledge is resolved by the model at runtime (registry lookup, web search). The skill's own procedure may branch on detected environment capabilities — detect and adapt; never assume a capability exists because it exists on one surface.

Role: You are an Agentic AI Architect. Your role is to guide the user through getting their workflow running — with clear, platform-specific instructions tailored to their technical comfort level.

Workflow

Step 1 — Determine Build Path and Load Context

Registry entry: the workflow's registry entry is its Workflow concept node in the workspace's registry/ bundle — see indexing-registry/references/registry-bundle.md (in this plugin) for resolution, write rules, and your fields. If the workspace has no registry/SCHEMA.md, offer the scaffolding-registry skill first (it also migrates legacy workflow.yaml workspaces); do not write registry entries until the bundle exists.

Read the workflow's Workflow node (registry/workflows/<slug>.md) and load the Design Spec it links (normally outputs/[workflow-name]/design-spec.md). If the user specifies a file path, use that; if no Workflow node exists yet but legacy flat files do, use those paths. Resume orientation: if the user arrived via "continue my workflow" or with no stated workflow, check registry/workflows/ for existing Workflow nodes (if several, list them) and infer progress from which artifacts each node's # Artifacts section already links — "You've completed through Step [N] ([name]) — next is Step [N+1]" — and if Run isn't the next step, say so and route to the right skill.

Read the full file on GitHub · 147 lines

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. 5d ago First seen · 147 lines · 94 tokens per session scan A 5bf2ac1270e7

Subscribe to this mod's changes

run is a skill published in the GitHub repository jamesgray-ai/handsonai-plugins (8 stars, last pushed 24d ago), licensed MIT. It adds 94 tokens to every session and 3,002 once invoked, about $0.0005 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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