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SKILL verified MIT Self-run

Playtest Report

skill-frabcd-codex-ai-game-studio-playtest-report · by frabcd

Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.

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Install

$ agentstack add skill-frabcd-codex-ai-game-studio-playtest-report

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

> Port provenance: adapted from the pinned upstream source at 984023ddac0d5e27624f2baacde6105e45de375f under MIT; see the repository parity ledger for the exact path and blob.

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 the installed Codex role-gate protocol 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]

Phase 2B: Analyze Mode

Read the raw notes at the provided path. Cross-reference with existing design documents. Fill in the template above with structured findings. Flag any playtest observations that conflict with design intent.


Phase 3: Action Routing

Categorize all findings into four buckets:

  • Design changes needed — fun issues, player confusion, broken mechanics, observations that conflict with the GDD's intended experience
  • Balance adjustments — numbers feel wrong, difficulty too spiked or too flat
  • Bug reports — clear implementation defects that are reproducible
  • Polish items — not blocking progress, but friction or feel issues for later

Present the categorized list, then route:

  • Design changes: "Run $ai-game-studio:propagate-design-change [path] on the affected design document to find downstream impacts before making changes."
  • Balance adjustments: "Run $ai-game-studio:balance-check [system] to verify the full balance picture before tuning values."
  • Bugs: "Use $ai-game-studio:bug-report to formally track these."
  • Polish items: "Add to the polish backlog in production/ when the team reaches that phase."

Phase 3b: Creative Director Player Experience Review

Review mode check — apply before spawning CD-PLAYTEST:

  • solo → skip. Note: "CD-PLAYTEST skipped — Solo mode." Proceed to Phase 4 (save the report).
  • lean → skip (not a PHASE-GATE). Note: "CD-PLAYTEST skipped — Lean mode." Proceed to Phase 4 (save the report).
  • full → spawn as normal.

After categorising findings, spawn creative-director with a Codex subagent using gate CD-PLAYTEST (the installed Codex role-gate protocol).

Pass: the structured report content, game pillars and core fantasy (from design/gdd/game-concept.md), the specific hypothesis being tested.

Present the creative director's assessment before saving the report. If CONCERNS or REJECT, add a ## Creative Director Assessment section to the report capturing the verdict and feedback. If APPROVE, note the approval in the report.


Phase 4: Save Report

Ask: "May I write this playtest report to production/qa/playtests/playtest-[date]-[tester].md?"

If yes, write the file, creating the directory if needed.


Phase 5: Next Steps

Verdict: COMPLETE — playtest report generated.

  • Act on the highest-priority finding category first.
  • After addressing design changes: re-run $ai-game-studio:design-review on the updated GDD.
  • After fixing bugs: re-run $ai-game-studio:bug-triage to update priorities.

Codex portability

Use the search, file-editing, shell, user-input, and subagent capabilities available in the active Codex surface. Use PowerShell syntax on Windows and POSIX syntax on macOS/Linux; do not require a Unix compatibility layer on Windows. Inherit the active model and permission mode, and do not weaken approval or sandbox boundaries.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.