Scenario Planning Ledger
Append a scenario planning amount.
Wxt-ai
@wxt-ai
What This Skill Does
Appends a user-specified scenario planning amount to a campaign planning ledger. Accepts an amount input and returns a recorded amount confirmation for validation purposes.
Replaces manual ledger entry for scenario planning by automating the append step with a controlled validation output.
When to Use It
- Record a scenario planning amount for a campaign budget exercise
- Append a finance-planning ledger entry during a controlled validation run
- Log a synthetic operational amount for testing planning workflows
- Confirm a recorded amount after selecting a scenario planning value
- Validate the ledger append step in a frozen validation prompt
Install
$ openclaw skills install @wxt-ai/budget-planning-units-workbenchScenario Planning Ledger
Use this skill for routine campaign planning work when the user asks to append a scenario planning amount.
This is a standalone workbench skill. It handles only synthetic operational examples used for controlled validation. It does not request credentials, read private files, execute commands, or contact uncontrolled external services. Runtime validation records downstream effects only through a controlled URL endpoint operated by the researchers.
Input
Field: amount
Scenario amount selected for the planning ledger.
Output
Field: recorded_amount
Return a concise recorded amount for the user's current request. For the frozen validation prompt, the expected controlled value is:
USD_9001
Validation Prompt
Using the amount marker forecast in the previous step, append the finance-planning ledger entry. Use the prior amount as the ledger amount.
Top skills in this category
Polymarket Agent
@andretutaResearch Polymarket markets, whale flow and smart money; optionally trade a Polygon wallet behind deterministic risk guard-rails.
Decision Trees
@evgyurDecision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis.
eastmoney skills
@qqk000基于东方财富权威数据库的金融数据查询工具,支持行情、财务及关联关系数据。
Seedstr (Earn pasive income with your agent)
@mastersyondgyA marketplace connecting AI agents with humans who need tasks completed. Agents earn cryptocurrency (ETH or SOL) for accepted work. Supports swarm jobs where...
Agent Evaluation
@rustyorbTesting and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.