agentmods.dev

rudder: Skill for Claude Code

.agents/skills/maintainer/mock-data-maintainer/SKILL.md

mock-data-maintainer is a skill for Claude Code, Codex from Undertone0809/rudder. It costs 50 tokens per session (2,834 once invoked), scanned A, original, Apache-2.0.

A skill for creating realistic, reusable sample data such as test records, demo content, screenshots, CSV files, JSON, SQL, or TypeScript fixtures.

In plain words
What is it for?
Use it to prepare data for local development, bug reproduction, automated tests, product demos, screenshots, and workflow examples.
Why use it?
It avoids random or inconsistent placeholder data that can make tests, demos, and explanations hard to trust.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Undertone0809/rudder's own configuration. It tells Claude Code and Codex how to work on rudder itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything rudder configures →

not rated 288 today A scan 50 tokens original Apache-2.0
View the source file Undertone0809/rudder rudderhq.dev
Reuse

Borrowing it

Nothing to install: this file belongs to Undertone0809/rudder. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Undertone0809/rudder/main/.agents/skills/maintainer/mock-data-maintainer/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Undertone0809/rudder

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 mock-data-maintainer

README.md
[![agentmods](https://agentmods.dev/badge/skills/undertone0809/rudder/mock-data-maintainer.svg)](https://agentmods.dev/skills/undertone0809/rudder/mock-data-maintainer)
Your own site
<a href="https://agentmods.dev/skills/undertone0809/rudder/mock-data-maintainer"><img src="https://agentmods.dev/badge/skills/undertone0809/rudder/mock-data-maintainer.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,834 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 5.1 $0.00050 $0.02834
Opus 5 $0.00025 $0.01417
Sonnet 5 $0.00010 $0.00567
Haiku 4.5 $0.00005 $0.00283

Measured 6d ago against content hash 7bc158276b12, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

mock-data-maintainer 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/capture-landing-proof-shots.ts, scripts/seed-rudder-studio.ts), 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.

.agents/skills/maintainer/mock-data-maintainer/SKILL.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mock Data Maintainer

Use this skill to create mock data that is useful, coherent, and easy to reuse. The goal is not random fake records. The goal is scenario data that supports testing, screenshots, demos, and clear user understanding.

First Decision

Classify the request into one primary intent before generating data:

  1. testing data: local dev, E2E, bug reproduction, contract checks, edge states
  2. screenshot/demo data: local screenshots, landing proof shots, README, decks
  3. user-scenario data: explain a workflow, persona, problem, or product value
  4. static artifact data: CSV, JSON, SQL, Markdown table, or TypeScript fixture

If the prompt implies multiple intents, produce one shared scenario spine and then adapt outputs for each intent. For example, one Rudder launch-week org can serve local screenshots, workflow explanation, and E2E fixture design.

Reference Selection

Read only the references needed for the request:

  • references/scenario-index.md: scenario catalog and selection rules
  • references/quality-bar.md: realism, determinism, privacy, and output rules
  • references/rudder-studio-scenario.md: canonical month-long "Rudder uses Rudder to build and grow Rudder" org, with reusable JSON fixtures and seed script
  • references/rudder-landing-demo-org.md: canonical screenshot-ready Rudder org
  • references/rudder-test-fixtures.md: Rudder testing and edge-state fixtures
  • references/rudder-user-scenarios.md: Rudder user stories and scenario spines
  • references/generic-saas-dashboard.md: SaaS metrics, billing, and ops data
  • references/generic-crm-sales.md: CRM, pipeline, account, and support data
  • references/edge-states.md: empty, error, boundary, permission, and conflict states

Bundled Scripts

Use bundled scripts when the user needs live Rudder data instead of static records:

  • scripts/capture-landing-proof-shots.ts: boots an isolated Rudder instance, seeds the canonical landing demo org, and optionally captures proof-shot screenshots. Use LANDING_SHOTS_SKIP_CAPTURE=1 LANDING_SHOTS_HOLD_OPEN=1 for seed-only local screenshot prep.
  • scripts/seed-rudder-studio.ts: seeds the reusable Rudder Studio org into a running local dev instance. Use it when the user wants a realistic month-long Rudder org, "using Rudder to build Rudder", natural Calendar work history, or durable user-scenario data.

Read the full file on GitHub · 316 lines

Files

What ships with it

18 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. 6d ago First seen · 316 lines · 50 tokens per session scan A 7bc158276b12

Subscribe to this mod's changes

mock-data-maintainer is a skill published in the GitHub repository Undertone0809/rudder (288 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 2,834 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 2026-08-30.

Testing
Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens