Skill audit report

drive-motivation Audit report.

Design motivation systems using Autonomy, Mastery, and Purpose (AMP) for products and teams. Use when the user mentions "intrinsic motivation", "gamification isnt working", "rewards arent working", "autonomy", "mastery", "purpose-driven", "my team is disengaged", or "how do I motivate people". Also trigger when designing onboarding progression, fixing broken gamification, or building team structures that sustain high performance. Covers why carrot-and-stick fails and how to build progress systems. For habit-forming product loops, see hooked-ux. For retention behavior design, see improve-retention.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
80
Audit
74
Trust
77
Quality
79
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

74
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

2.1K GitHub stars

Stars/forks activity

INFO

77

2.1K stars, 215 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

72

credential or environment access

Install availability

PASS

92

npx skills add wondelai/skills --skill drive-motivation

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

secrets or environment access

Repository evidence

PASS

86

https://github.com/wondelai/skills/tree/main/drive-motivation

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

92

PASS

npx skills add wondelai/skills --skill drive-motivation

Repository

88

PASS

https://github.com/wondelai/skills/tree/main/drive-motivation

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

SKILL.md lacks an explicit 'Limitations' or 'safe operating boundaries' section, so agents may apply the framework in contexts where extrinsic rewards are actually appropriate.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

72

CHECK

credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

secrets or environment access

Stars/forks activity

77

CHECK

2.1K stars, 215 forks; issue activity unavailable in current metadata

Adoption

88

PASS

2.1K GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Financial research output is not financial advice; require human review before any live investment decision
  • SKILL.md lacks an explicit 'Limitations' or 'safe operating boundaries' section, so agents may apply the framework in contexts where extrinsic rewards are actually appropriate.
  • The skill is reference-heavy and does not include a clear step-by-step workflow in SKILL.md for how an agent should run the diagnostic, format output, and apply fixes.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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