output-dev-scenario-file

output-dev-scenario-file is a skill for Claude Code from growthxai/output. It costs 32 tokens per session (2,105 once invoked), scanned A, original, Apache-2.0.

A guide for creating scenario JSON files, which are saved test inputs with expected use cases for Output SDK workflows. It defines where these files go and how to name them.

In plain words
What is it for?
Use it to prepare test data, document workflow cases, investigate behavior, and set up regression tests that check whether changes break existing cases.
Why use it?
It gives workflow tests consistent example inputs, including normal, complex, boundary, and error cases.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the outputai plugin — 50 skills, 5 agents, 1 hook shipped together

Good fit Use it to prepare test data, document workflow cases, investigate behavior, and set up regression tests that check whether changes break existing cases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/growthxai/output/output-dev-scenario-file
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 growthxai/output --skill output-dev-scenario-file
Clone the repo
git clone --depth 1 https://github.com/growthxai/output

Made for: Claude Code.

Or install outputai, the plugin that ships this one along with the rest of its 50 skills, 5 agents, 1 hook.

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 output-dev-scenario-file

README.md
[![agentmods](https://agentmods.dev/badge/skills/growthxai/output/output-dev-scenario-file/github.svg)](https://agentmods.dev/skills/growthxai/output/output-dev-scenario-file)
Your own site
<a href="https://agentmods.dev/skills/growthxai/output/output-dev-scenario-file"><img src="https://agentmods.dev/badge/skills/growthxai/output/output-dev-scenario-file/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 output-dev-scenario-file

Your own site · 80×15
<a href="https://agentmods.dev/skills/growthxai/output/output-dev-scenario-file"><img src="https://agentmods.dev/badge/skills/growthxai/output/output-dev-scenario-file.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,105 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 7 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 149
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 152
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 159
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 162
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 341
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 344
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 347
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 5.1 $0.00032 $0.02105
Opus 5 $0.00016 $0.01052
Sonnet 5 $0.00006 $0.00421
Haiku 4.5 $0.00003 $0.00211

Measured 10d ago against content hash 60301acbbaee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

output-dev-scenario-file 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 10d 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.

coding_assistants/claude/plugins/outputai/skills/output-dev-scenario-file/SKILL.md · 356 lines

How it starts

The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creating Scenario Files

Overview

This skill documents how to create test scenario JSON files for Output SDK workflows. Scenarios provide predefined inputs for testing workflows during development and validation.

When to Use This Skill

  • Creating test inputs for a new workflow
  • Documenting different use cases
  • Setting up regression tests
  • Debugging workflow behavior with specific inputs

Location Convention

Scenario files are stored INSIDE the workflow folder:

src/workflows/{workflow-name}/
├── workflow.ts
├── steps.ts
├── types.ts
└── scenarios/
    ├── basic_input.json
    ├── complex_input.json
    └── edge_case_empty.json

Important: Scenarios are workflow-specific and live inside the workflow folder.

File Naming Convention

Use snake_case for scenario file names:

{description}_input.json

Examples:

  • basic_input.json
  • test_input_solar_panels.json
  • edge_case_empty_content.json
  • complex_with_references.json

Naming patterns:

  • basic_* - Minimal valid input
  • complex_* - Full-featured input with all options
  • edge_case_* - Boundary conditions and edge cases
  • error_* - Inputs expected to produce errors

Basic Structure

A scenario file is a JSON file that matches the workflow's inputSchema:

{
  "fieldName": "value",
  "optionalField": "optional value",
  "numericField": 42,
  "arrayField": ["item1", "item2"]
}

Matching inputSchema

The scenario JSON must match the Zod schema defined in types.ts:

Example Schema (types.ts)

export const WorkflowInputSchema = z.object({
  content: z.string().describe('Text content to process'),
  numberOfIdeas: z.number().min(1).max(10).default(1),
  colorPalette: z.string().optional(),
  aspectRatio: z.enum(['1:1', '16:9', '9:16']).default('1:1'),
  referenceUrls: z.array(z.string()).optional()
});

Corresponding Scenarios

basic_input.json (minimal required fields)

{
  "content": "This is sample content for testing the workflow."
}

Read the full file on GitHub · 356 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. 10d ago First seen · 356 lines · 32 tokens per session scan A 60301acbbaee

Subscribe to this mod's changes

output-dev-scenario-file is a skill published in the GitHub repository growthxai/output (435 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 2,105 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

ax-agent-optimize

This skill helps an LLM generate correct AxAgent tuning and evaluation code using @ax-llm/ax. Use when the user asks about agent.optimize(...), judgeOptions, eval datasets, optimization targets, saved optimizedProgram artifacts, or agent optimization guidance.

ax-llm/ax · 57 tokens

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.

browser-use/browser-use · 26 tokens

insta-snapshots

Guide for working with and updating insta snapshot tests in Oxc without terminal interaction.

oxc-project/oxc · 22 tokens

ax-ai

This skill helps an LLM generate correct AI provider setup and configuration code using @ax-llm/ax. Use when the user asks about ai(), providers, models, routing, adaptive balancing, presets, embeddings, batch audio with ai.transcribe() or ai.speak(), extended thinking, context caching, or mentions…

ax-llm/ax · 100 tokens

ax-agent-rlm

This skill helps an LLM generate correct AxAgent RLM/runtime code using @ax-llm/ax. Use when the user asks about RLM code execution, AxJSRuntime, contextFields, contextPolicy, liveRuntimeState, promptLevel, stage prompt controls, executorModelPolicy, maxRuntimeChars, agent.test(...), llmQuery(...), recursionOptions…

ax-llm/ax · 88 tokens

ax-flow

This skill helps an LLM generate correct AxFlow workflow code using @ax-llm/ax. Use when the user asks about flow(), AxFlow, workflow orchestration, parallel execution, DAG workflows, conditional routing, map/reduce patterns, or multi-node AI pipelines.

ax-llm/ax · 59 tokens