playtest-report

playtest-report is a skill for Claude Code from bullish0x/GameStudio. It costs 35 tokens per session (1,263 once invoked), scanned A, a copy of playtest-report, MIT.

A guide for creating or analyzing structured playtest reports for games. It provides a standard format for recording session details, first impressions, gameplay flow, and player reactions.

In plain words
What is it for?
Use it to create a blank playtest form or organize existing notes about goals, controls, emotions, problems, and what worked.
Why use it?
Unstructured playtest notes are difficult to compare and turn into actionable changes. A consistent report keeps important observations together.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

Good fit Use it to create a blank playtest form or organize existing notes about goals, controls, emotions, problems, and what worked.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bullish0x/gamestudio/playtest-report
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 bullish0x/GameStudio --skill playtest-report
Clone the repo
git clone --depth 1 https://github.com/bullish0x/GameStudio

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 playtest-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/bullish0x/gamestudio/playtest-report/github.svg)](https://agentmods.dev/skills/bullish0x/gamestudio/playtest-report)
Your own site
<a href="https://agentmods.dev/skills/bullish0x/gamestudio/playtest-report"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/playtest-report/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 playtest-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/bullish0x/gamestudio/playtest-report"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/playtest-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,263 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 94% copy Near-identical to another mod 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 $0.00035 $0.01263
Opus 5 $0.00017 $0.00632
Sonnet 5 $0.00007 $0.00253
Haiku 4.5 $0.00003 $0.00126

Measured 5d ago against content hash 9f6f670a2363, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

playtest-report 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.

Origin

This is a copy

94% identical to playtest-report — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/playtest-report/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.

Phase 1: Parse Arguments

Resolve the review mode (once, store for all gate spawns this run):

  1. If --review [full|lean|solo] was passed → use that
  2. Else read production/review-mode.txt → use that value
  3. Else → default to lean

See .agents/docs/director-gates.md for the full check pattern.

Determine the mode:

  • new → generate a blank playtest report template
  • analyze [path] → read raw notes and fill in the template with structured findings

Phase 2A: New Template Mode

Generate this template and output it to the user:

# Playtest Report

## Session Info
- **Date**: [Date]
- **Build**: [Version/Commit]
- **Duration**: [Time played]
- **Tester**: [Name/ID]
- **Platform**: [PC/Console/Mobile]
- **Input Method**: [KB+M / Gamepad / Touch]
- **Session Type**: [First time / Returning / Targeted test]

## Test Focus
[What specific features or flows were being tested]

## First Impressions (First 5 minutes)
- **Understood the goal?** [Yes/No/Partially]
- **Understood the controls?** [Yes/No/Partially]
- **Emotional response**: [Engaged/Confused/Bored/Frustrated/Excited]
- **Notes**: [Observations]

## Gameplay Flow
### What worked well
- [Observation 1]

### Pain points
- [Issue 1 -- Severity: High/Medium/Low]

### Confusion points
- [Where the player was confused and why]

### Moments of delight
- [What surprised or pleased the player]

## Bugs Encountered
| # | Description | Severity | Reproducible |
|---|-------------|----------|-------------|

## Feature-Specific Feedback
### [Feature 1]
- **Understood purpose?** [Yes/No]
- **Found engaging?** [Yes/No]
- **Suggestions**: [Tester suggestions]

## Quantitative Data (if available)
- **Deaths**: [Count and locations]
- **Time per area**: [Breakdown]
- **Items used**: [What and when]
- **Features discovered vs missed**: [List]

## Overall Assessment
- **Would play again?** [Yes/No/Maybe]
- **Difficulty**: [Too Easy / Just Right / Too Hard]
- **Pacing**: [Too Slow / Good / Too Fast]
- **Session length preference**: [Shorter / Good / Longer]

## Top 3 Priorities from this session
1. [Most important finding]
2. [Second priority]
3. [Third priority]

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 · 35 tokens per session scan A 9f6f670a2363

Subscribe to this mod's changes

playtest-report is a skill published in the GitHub repository bullish0x/GameStudio (11 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 1,263 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to playtest-report, differing in 5 lines, and is treated as a copy.

Related

Other skills, from other repositories

game-development

Game development with Unity, Unreal Engine, and Godot. Use when building games, implementing game mechanics, physics, AI, or working with game engines.

travisjneuman/.claude · 34 tokens

ar-vr-xr

AR/VR/XR development with Unity XR, WebXR, ARKit, ARCore, Meta Quest SDK, and spatial computing. Use when building augmented reality, virtual reality, mixed reality applications, or spatial experiences.

travisjneuman/.claude · 50 tokens

sdf

SDFormat/SDF model and world authoring, validation, and simulator handoff. Use for .sdf files, SDFormat XML, models, worlds, links, joints, poses, frames, inertials, visual/collision geometry, mesh URIs, sensors, lights, physics, plugins, includes, Gazebo, static SDF review, or simulator-specific metadata. Do not use…

earthtojake/text-to-cad · 88 tokens

unity-agent-workflows

Use for AI-assisted Unity work that needs live repo discovery, project-derived routing, runtime-owner proof, runtime-visible output hard stops, runtime numeric proof for repeated visible-output failures, state-step guards, multi-agent scope ownership, modular C#/asmdef safety, UI/scene/visual asset gates, data-first…

hashgraph-online/awesome-codex-plugins · 146 tokens

using-bgs-archive

Use when the user wants to inspect, list, extract, unpack, or repack Bethesda BA2/BSA archives; determine archive format/version/compression; or build archive assets for an MO2 overlay. Triggers - "unpack BA2", "extract BSA", "pack archive", "inspect archive", "bgs-archive".

hashgraph-online/awesome-codex-plugins · 75 tokens

ai-ml-development

AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.

travisjneuman/.claude · 43 tokens