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在 OpenClaw 中安装
/install loot-reward-celebrator
功能描述
Help the user close the loop after effort by turning a completed task into a loot table, a fair reward plan, a visible record of the win, and a sensible next...
使用说明 (SKILL.md)
Loot Reward Celebrator
Chinese name: 战利品奖励庆祝.
Overview
Use this skill when the user has already done the work and now needs a healthy, believable reward loop. It highlights what was actually earned, suggests sustainable celebration options, and keeps the reward proportional.
When to use
Use this skill when the user wants to:
- celebrate a finished task or milestone
- feel the win instead of instantly moving on
- choose a reward that fits budget and values
- record a success in a visible way
- define the next unlock condition
Example prompts
- "Help me celebrate this milestone without overdoing it"
- "What is a good reward after finishing this project?"
- "Turn this completed habit streak into a loot table"
Inputs
Useful inputs include:
- completed task or milestone
- effort, cost, or emotional load
- budget and time
- values or constraints such as health, savings, or family context
- preferred style of celebration
Workflow
- Name what was completed.
- Translate the win into visible and invisible loot.
- Suggest one immediate reward and one bigger option.
- Add a way to record or display the win.
- Set a fair next unlock condition.
Output
Return markdown with:
- loot table
- reward suggestions
- display or record idea
- next unlock condition
- sustainability guardrails
Limits
- This skill does not handle purchases or payments.
- It should avoid rewards that directly undermine health, money, or recovery needs.
- It is not financial planning or addiction support.
Acceptance Criteria
- The reward matches the real effort.
- The celebration is sustainable.
- The output helps the user feel seen without creating future damage.
安全使用建议
This skill appears low-risk and implements exactly what it promises: local parsing of your input and returning a markdown 'loot reward' suggestion. If you want extra assurance, run the included tests (tests/test_handler.py) in a sandboxed environment and inspect handler.py yourself; no network calls or credential access are present. If you plan to share or publish this skill widely, consider reviewing any future changes for added I/O or networking before trusting it with sensitive data.
功能分析
Type: OpenClaw Skill
Name: loot-reward-celebrator
Version: 1.0.0
The loot-reward-celebrator skill is a text-processing utility designed to help users gamify task completion. The handler.py script safely parses user input to generate markdown-based reward suggestions and contains no network calls, shell execution, or sensitive data access. All files, including SKILL.md and the test suite, are strictly aligned with the stated purpose of providing positive reinforcement for habit tracking.
能力标签
能力评估
Purpose & Capability
Name, description, SKILL.md workflow, and handler.py are consistent: the skill takes a completed-task input and builds a reward/loot-table response. There are no unexpected required binaries, env vars, or external services that would be incoherent with this purpose.
Instruction Scope
SKILL.md instructs the agent to generate reward suggestions and record/display ideas. handler.py implements only local text parsing and output generation. The code reads the bundled SKILL.md for metadata, parses input, and formats a markdown result — no instructions to read unrelated files, system config, or transmit data externally.
Install Mechanism
There is no install spec (instruction-only runtime) and included code is pure Python with standard-library imports. Nothing in the package downloads or extracts external artifacts or creates non-standard binaries.
Credentials
The skill requests no environment variables, credentials, or config paths. The code does not reference environment secrets or external service keys; inputs are parsed from the provided user input only.
Persistence & Privilege
The skill is not force-installed (always: false) and does not modify other skills or system-wide settings. It can be invoked autonomously per platform defaults, but it does not request elevated persistence or privilege.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install loot-reward-celebrator - 安装完成后，直接呼叫该 Skill 的名称或使用
/loot-reward-celebrator触发 - 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 of loot-reward-celebrator skill.
- Provides a structured way to celebrate completed tasks and milestones using a loot table and fair reward planning.
- Guides users to select sustainable, healthy, and value-aligned rewards.
- Helps make wins visible and meaningful without encouraging unhealthy or costly behaviors.
- Suggests next unlock conditions to motivate continued progress.
- Delivers outputs in markdown, including loot tables, reward suggestions, visible records, and sustainability guardrails.
元数据
常见问题
Loot Reward Celebrator 是什么？
Help the user close the loop after effort by turning a completed task into a loot table, a fair reward plan, a visible record of the win, and a sensible next... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 82 次。
如何安装 Loot Reward Celebrator？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install loot-reward-celebrator」即可一键安装，无需额外配置。
Loot Reward Celebrator 是免费的吗？
是的，Loot Reward Celebrator 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Loot Reward Celebrator 支持哪些平台？
Loot Reward Celebrator 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 Loot Reward Celebrator？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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