← 返回 Skills 市场
94
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install pricing-strategy-advisor
功能描述
Turn pricing notes, margin pressure, competitor context, discount behavior, and channel constraints into a practical pricing strategy brief with objective fr...
安全使用建议
This skill appears safe and does what it says: it produces heuristic pricing briefs from user-provided context and asks for no credentials or external data. A few practical notes before installing or using it: (1) verify the full handler.py file in the package (the manifest shown to you had a truncated snippet — confirm the complete source on disk or in the registry before trusting it); (2) outputs are heuristic keyword-based recommendations — do not auto-apply price changes without human review or A/B testing; (3) avoid pasting sensitive credentials or unneeded PII into prompts (the skill does not need secrets); (4) if you need rigorous elasticity or live competitor data, feed validated analytics or run experiments rather than relying solely on this advisor; (5) the agent can be invoked autonomously by default on the platform, but here that is not a high risk because the skill has no network or credential access — still consider limiting autonomous runs if you prefer manual invocation.
功能分析
Type: OpenClaw Skill
Name: pricing-strategy-advisor
Version: 1.0.0
The pricing-strategy-advisor skill is a heuristic-based tool designed to generate pricing strategy briefs from user-provided text. The Python code (handler.py) uses simple keyword matching to categorize inputs and returns static recommendation templates; it contains no network requests, file system access, or execution of untrusted code. The instructions in SKILL.md are well-defined and include explicit safety guardrails to prevent the agent from claiming access to live data or making unauthorized changes.
能力评估
Purpose & Capability
The name/description (pricing strategy advisory) matches the code and SKILL.md. The skill requires no credentials, no binaries, and does not attempt to integrate with unrelated services; all required inputs are user-supplied pricing/context data which is appropriate for the stated purpose.
Instruction Scope
SKILL.md explicitly forbids fetching live competitor or analytics data and the handler.py implementation follows that: it uses only local text normalization and keyword heuristics to create a markdown brief. Note: the logic is heuristic (keyword matching) and may misclassify objectives or underweight nuance without richer user data — this is a functional limit rather than a security issue.
Install Mechanism
No install specification is provided (instruction-only), so nothing is downloaded or written to disk by an installer. The included code files are simple, self-contained Python with no external package pulls or shell/network operations.
Credentials
The skill requests no environment variables, no credentials, and references no config paths. There are no tokens, keys, or secrets required or accessed by the code.
Persistence & Privilege
always is false and the skill does not attempt to persist configuration, modify other skills, or request elevated platform privileges. It follows normal, limited runtime behavior.
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 pricing-strategy-advisor - 安装完成后，直接呼叫该 Skill 的名称或使用
/pricing-strategy-advisor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 Pricing Strategy Advisor.
- Translates partial pricing, margin, competitor, and discount context into a structured pricing strategy brief.
- Designed for ecommerce teams, brand operators, and consultants needing guidance without live data integrations.
- Outputs actionable recommendations, test ideas, move options, and guardrails in markdown format.
- Explicitly avoids unsafe or unsubstantiated pricing actions; keeps all recommendations human-approved.
- Advises on objective framing, trade-offs, and monitoring metrics for practical decision-making.
元数据
常见问题
Pricing Strategy Advisor 是什么？
Turn pricing notes, margin pressure, competitor context, discount behavior, and channel constraints into a practical pricing strategy brief with objective fr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 94 次。
如何安装 Pricing Strategy Advisor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pricing-strategy-advisor」即可一键安装，无需额外配置。
Pricing Strategy Advisor 是免费的吗？
是的，Pricing Strategy Advisor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pricing Strategy Advisor 支持哪些平台？
Pricing Strategy Advisor 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 Pricing Strategy Advisor？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
推荐 Skills