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Install in OpenClaw
/install loot-reward-celebrator
Description
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...
README (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.
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install loot-reward-celebrator - After installation, invoke the skill by name or use
/loot-reward-celebrator - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Loot Reward Celebrator?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install Loot Reward Celebrator?
Run "/install loot-reward-celebrator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Loot Reward Celebrator free?
Yes, Loot Reward Celebrator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Loot Reward Celebrator support?
Loot Reward Celebrator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Loot Reward Celebrator?
It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.
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