Install
$ agentstack add skill-mike007jd-game-superpowers-gsp-ux-flow-audit ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Game UX Flow Audit
Goal
Audit the player journey and moment-to-moment experience flow, especially the first 30 seconds.
Outputs
Follow the gsp-orchestrator output strategy:
- inline (default): present findings in conversation.
- minimal or full: write to
docs/game-studio/audit/ux-findings.md,docs/game-studio/audit/audit-summary.md,docs/game-studio/audit/scorecard.json.
Use:
./shared/checklists/ux-flow-audit-checklist.md./shared/reference/first-30-seconds.md./shared/reference/audit-confidence-and-evidence.md
Evaluate
- first actionable screen clarity
- onboarding length and interruption cost
- main verb discoverability
- fail / retry / pause / resume flow
- menu-to-play transitions
- whether the UI or setup blocks the core loop
Evidence discipline
Tag each important finding with:
- confidence:
high,medium, orlow - evidence:
code,config,asset,screenshot, orinferred
Output style
Write findings in game-language, such as:
- what the player understands too late
- what the player is asked to do too early
- where friction kills momentum
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: mike007jd
- Source: mike007jd/game-superpowers
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.