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Game Design Fogg Behavior Audit

作者 Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install game-design-fogg-behavior-audit
功能描述
Audit a game feature, flow, event, onboarding step, progression action, monetization surface, retention mechanic, or social prompt using the Fogg Behavior Mo...
使用说明 (SKILL.md)

Game Design Fogg Behavior Audit

Evaluate whether a feature actually produces the behavior it is trying to cause.

Use this skill when the main question is behavioral: will players do the thing, and if not, why not? The goal is not to give a broad aesthetic critique. The goal is to identify whether the intended player action is supported by enough motivation, enough ability, and the right prompt at the right moment.

Read references/fogg-notes.md when you need a concise reminder of the model and the main failure patterns. Read references/game-examples.md when you want examples of how Motivation, Ability, and Prompt show up in game features.

Core behavior

  • Keep the analysis practical, not academic.
  • Always identify the target behavior first.
  • Do not audit a feature in the abstract if the intended player action is unclear.
  • Evaluate Motivation, Ability, and Prompt separately before giving a verdict.
  • Identify which of the three is the main bottleneck.
  • Recommend specific fixes, not vague advice.
  • Focus especially on feature design, onboarding, retention loops, event participation, progression actions, social actions, and monetization prompts.

What to ask first

Prioritize these questions:

  1. What exact player behavior is this feature trying to cause?
  2. What is the feature or flow?
  3. Who is the target player or player state?
  4. When is the player supposed to do the action?
  5. What reward, value, urgency, or reason does the player have to do it?
  6. What friction, prerequisites, or UI steps stand between the player and the action?
  7. What prompt or trigger is currently used?

If the target behavior is vague, ask for clarification or infer the most likely behavior and state the assumption.

What to diagnose

Quickly identify:

  • whether the intended behavior is clear and specific
  • whether players have enough reason to do it now
  • whether the action is easy enough in the current context
  • whether the prompt appears at the right moment
  • whether the prompt is visible, timely, and relevant
  • whether the feature is failing mostly because of low motivation, low ability, weak prompting, or a mismatch between all three

Response structure

Always organize the answer using this structure.

Target Behavior

  • state the exact player action the feature is trying to produce
  • if needed, distinguish primary and secondary behaviors

Motivation Read

  • what makes the player want to do it
  • what weakens desire or relevance
  • whether the reward, emotional appeal, status, urgency, curiosity, fear of loss, or identity fit is strong enough

Ability Read

  • what makes the action easy or hard
  • clarity
  • step count
  • cognitive load
  • time cost
  • resource or skill gates
  • UI friction

Prompt Read

  • what currently prompts the behavior
  • whether the prompt is visible, understandable, and well-timed
  • whether the prompt hits when motivation and ability are high enough

Failure Diagnosis

  • identify the main bottleneck
  • say whether the feature mostly fails because players do not want it, cannot easily do it, are not being prompted well, or are being prompted at the wrong time

Recommendation

  • recommend specific changes
  • if useful, separate fixes into motivation, ability, and prompt improvements

Strong use cases

This skill is especially useful for:

  • FTUE and tutorial steps
  • daily or return-player actions
  • event entry and event participation
  • reward claims and progression interactions
  • store offers and monetization prompts
  • battle pass or mission adoption
  • social invites or guild actions
  • underused buttons, tabs, or feature entries
  • any feature that seems valuable on paper but is not being used much

Weaker use cases

This skill is less useful for:

  • broad game vision critique without a specific target behavior
  • purely aesthetic review
  • open-ended sandbox play where the intended behavior is intentionally loose
  • high-level worldbuilding analysis

Style guidance

  • Be concrete.
  • Do not turn the analysis into generic behavioral-science fluff.
  • Keep the focus on what the player is actually being asked to do.
  • If the feature is trying to drive too many behaviors at once, say so.
  • If the behavior target itself is bad or confused, say that before tuning Motivation, Ability, or Prompt.

Fast mode

Use this compressed flow when the user wants a quick answer:

  • what exact behavior is this feature trying to cause
  • do players want to do it
  • can they easily do it
  • are they prompted at the right moment
  • which of the three is weakest
  • what should change first

Working principle

A feature does not succeed just because it exists, is visible, or is theoretically valuable. It succeeds when the player has enough reason to act, enough ability to act, and a prompt that lands at the right moment.

安全使用建议
This skill appears low-risk and coherent: it only contains instructions and local reference files for doing Fogg-model audits and does not request credentials or install code. Before installing, consider these points: 1) avoid pasting real production credentials, player PII, or sensitive telemetry into prompts you send to the skill; 2) the skill can be invoked autonomously by the agent (platform default) — that is normal, but you should only allow autonomous use in agents you trust; 3) the recommendations it generates are behavioral design advice — review for ethical considerations (manipulative or privacy-invasive nudges) before applying in a live product. If you want higher assurance, ask the publisher for provenance (who authored the skill) or a changelog; nothing in the package itself contradicts its stated purpose.
功能分析
Type: OpenClaw Skill Name: game-design-fogg-behavior-audit Version: 1.0.0 The skill bundle is a purely instructional framework for auditing game design features using the Fogg Behavior Model (Motivation, Ability, Prompt). It contains only Markdown documentation (SKILL.md, references/fogg-notes.md, references/game-examples.md) and lacks any executable code, network requests, or sensitive data access. The instructions are well-aligned with the stated purpose of behavioral analysis and do not contain any malicious prompt injection or exfiltration patterns.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
Name, description, and included reference files match the stated purpose (auditing game features with the Fogg model). There are no unrelated required binaries, env vars, or config paths.
Instruction Scope
SKILL.md contains explicit, scoped runtime instructions for performing behavioral audits and points to the included reference files. It does not instruct the agent to read unrelated system files, access external endpoints, or collect credentials.
Install Mechanism
No install spec or code is included; this is instruction-only so nothing is written to disk or downloaded during install.
Credentials
The skill declares no environment variables or credentials. The instructions do not reference secrets or other environment state beyond the included references.
Persistence & Privilege
Skill is not forced-always and uses normal, user-invocable/autonomous-invocation defaults. It does not request persistent system privileges or modify other skills/config.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install game-design-fogg-behavior-audit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /game-design-fogg-behavior-audit 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: practical behavior-focused feature audit using Motivation, Ability, and Prompt.
元数据
Slug game-design-fogg-behavior-audit
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Game Design Fogg Behavior Audit 是什么?

Audit a game feature, flow, event, onboarding step, progression action, monetization surface, retention mechanic, or social prompt using the Fogg Behavior Mo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 83 次。

如何安装 Game Design Fogg Behavior Audit?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install game-design-fogg-behavior-audit」即可一键安装,无需额外配置。

Game Design Fogg Behavior Audit 是免费的吗?

是的,Game Design Fogg Behavior Audit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Game Design Fogg Behavior Audit 支持哪些平台?

Game Design Fogg Behavior Audit 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Game Design Fogg Behavior Audit?

由 Stanislav Stankovic(@stanestane)开发并维护,当前版本 v1.0.0。

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