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Honey Badger Costing Assistant icon

Honey Badger Costing Assistant

Professional Updated 2026.08.29

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md and install @user_0ccc096f/mihuan-zaojia.

About this skill

Problem fit

Mihuan Costing Skill is categorized as a professional skill and its name points to costing-related work, but the public material is sparse and only states that it is a large-model skill. Engineers should focus on whether it matches the business line’s pricing conventions, term definitions, unit system, and output structure. Costing tasks are sensitive to field semantics: the same field may represent quantity, unit price, cost category, or adjustment factor, and ambiguous declarations can create hard-to-trace discrepancies.

Capability boundaries and usage advice

The current SKILL.md does not document fields, formulas, examples, or dependent interfaces, so the practical approach is to treat it as a professional skill placeholder pending validation. First confirm the invocation entry, input parameters, response format, and error handling, then decide whether it covers the target scenario. If the team has defined cost, item, quantity, or rate field conventions, use small samples to check terminology consistency, unit conversion, and rounding behavior. If documentation remains incomplete, rely on manual calculation or existing system rules, and use the skill only as an auxiliary tool for drafting, information extraction, or workflow orchestration—not as the final basis for quotation, settlement, or audit.

Use Cases

  • When evaluating whether to adopt a costing-related LLM skill, verify scope against the canonical name and professional category.
  • When building a professional skills catalog, register the skill with its category, source page, and canonical name.
  • When reviewing documentation completeness, flag that SKILL.md lacks fields, formulas, and examples, requiring small-scale validation.
  • Before integrating an agent workflow, confirm whether the skill’s entry point, input parameters, and response structure are usable.

Best For

  • Skills-site editor: needs to compile source page, canonical name, and install prompt into a display entry.
  • Professional agent lead: needs to audit professional skills for missing fields, formulas, and examples.
  • Costing product manager: needs to determine whether the costing-named LLM skill matches terminology and conventions.
  • LLM integration engineer: needs to judge whether entry point, parameters, and response structure fit existing workflows.