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在 OpenClaw 中安装
/install crypto-dca-reflection-guide
功能描述
A reflection skill that helps decide whether a recurring buy habit fits the user's goals, budget, and temperament. Use when the user is considering a DCA str...
使用说明 (SKILL.md)
crypto-dca-reflection-guide
A reflection skill that helps decide whether a recurring buy habit fits goals, budget, and temperament.
Workflow
- Ask about goal horizon, conviction level, cash flow regularity, and emotional reaction to volatility.
- Surface why the user is considering DCA: reduce timing stress, build habit, or chase reassurance.
- Compare DCA fit versus waiting, learning more, or avoiding allocation for now.
- If suitable, design a tiny rule-based experiment with clear review date.
- If not suitable, explain why not.
Output Format
- DCA fit assessment
- Why it may help or hurt
- Simple cadence and size guardrails, if appropriate
- Review checkpoint
- Situations where the user should pause
Quality Bar
- Balanced, not ideological.
- Connects habit design to psychology and cash flow.
- Makes tradeoffs visible.
- Avoids pretending DCA removes risk.
Edge Cases
- Irregular income, student budgets, recent losses, or gambling-like behavior may make DCA unsuitable.
- Should not imply guaranteed outcomes.
Compatibility
- Prompt-only, no automation or brokerage connection.
- Works well with budget planner and review ritual skills.
安全使用建议
This skill is broadly what it says (a DCA reflection guide), but the included handler.py contains a hard-coded absolute path (/Users/jianghaidong/...) and will attempt to open SKILL.md from that location. Before installing or enabling: 1) Inspect or run the code in a sandbox — the file read will fail on most systems but could expose local file reads if paths overlap. 2) Ask the author why the absolute user path is used; the code should use a relative path or package resource instead. 3) If you don't trust the author, decline installation — at minimum modify handler.py to remove the absolute path and load the included SKILL.md from the package directory. 4) Because no network or credential access is requested, the risk is limited to local file reads; nonetheless treat this as a privacy/quality issue and fix or confirm before use.
功能分析
Type: OpenClaw Skill
Name: crypto-dca-reflection-guide
Version: 1.0.0
The skill is classified as suspicious because handler.py contains a hardcoded absolute path to a specific local user directory (/Users/jianghaidong/), which is a privacy leak and indicates the code was not sanitized for distribution. Furthermore, the _load_skill_meta function in handler.py performs file system reads based on the skill_name input, creating a potential path traversal vulnerability, which contradicts the 'prompt-only' description provided in SKILL.md.
能力标签
能力评估
Purpose & Capability
The SKILL.md describes a prompt-only reflection guide (no automation). The code in handler.py attempts to read /Users/jianghaidong/.openclaw/skills/{skill_name}/SKILL.md — an absolute, user-specific path unrelated to a distributed prompt-only skill. This hard-coded path is not needed for the stated purpose and is an incoherence (it attempts local file access outside the packaged skill).
Instruction Scope
SKILL.md explicitly says prompt-only and no external integrations; the instructions do not request reading local files or secrets. The handler.py nevertheless attempts to load a SKILL.md from a local home directory. That behavior is not documented in SKILL.md and expands the runtime scope unexpectedly.
Install Mechanism
There is no install spec (instruction-only). No downloads or package installs are requested, which aligns with a low-risk, prompt-first skill.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The only surprising element is the hard-coded filesystem path in handler.py; it does not request secrets but does attempt to read a local file path that is unrelated to the description.
Persistence & Privilege
Flags such as always and autonomous invocation are default/normal. The skill does not request permanent presence or system-wide config changes.
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 crypto-dca-reflection-guide - 安装完成后，直接呼叫该 Skill 的名称或使用
/crypto-dca-reflection-guide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 crypto-dca-reflection-guide.
- Guides users in evaluating if a dollar-cost averaging (DCA) habit fits their goals, budget, and temperament.
- Prompts for goal horizon, conviction, cash flow, and responses to volatility.
- Highlights reasons for considering DCA and compares it with alternative approaches.
- Offers a simple, rule-based experiment and clear review point if DCA is suitable.
- Flags edge cases (like irregular income or gambling behavior) where DCA may not be a good fit.
元数据
常见问题
Crypto Dca Reflection Guide 是什么？
A reflection skill that helps decide whether a recurring buy habit fits the user's goals, budget, and temperament. Use when the user is considering a DCA str... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 66 次。
如何安装 Crypto Dca Reflection Guide？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install crypto-dca-reflection-guide」即可一键安装，无需额外配置。
Crypto Dca Reflection Guide 是免费的吗？
是的，Crypto Dca Reflection Guide 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Crypto Dca Reflection Guide 支持哪些平台？
Crypto Dca Reflection Guide 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 Crypto Dca Reflection Guide？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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