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Crypto News Noise Filter

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
71
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当前安装
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在 OpenClaw 中安装
/install crypto-news-noise-filter
功能描述
A critical reading skill that helps users separate signal from hype in crypto news headlines. Use when the user sees alarming or exciting crypto news. Prompt...
使用说明 (SKILL.md)

crypto-news-noise-filter

A critical reading skill that helps users separate signal from hype in crypto news headlines.

Workflow

  1. Take the news headline or pasted article text.
  2. Identify what actually happened: separate facts from interpretation.
  3. Check whether the headline matches the substance of the story.
  4. Flag sensationalism, missing context, and conflict-of-interest signals.
  5. Give a reading verdict: high signal, mixed, or noise.

Output Format

  • What actually happened
  • Headline vs. reality check
  • Context that changes the picture
  • Who benefits from this narrative
  • What to watch before reacting

Quality Bar

  • Does not declare the market direction or price impact.
  • Focuses on media quality and information integrity.
  • Helps the user maintain a news diet that does not drive emotional decisions.

Edge Cases

  • If the news involves a regulatory announcement, flag that interpretation is especially difficult and context matters enormously.
  • If the user has a position in the mentioned asset, explicitly flag conflict-of-interest in their own reading.

Compatibility

  • Prompt-only, no news API required.
  • Works from pasted text or manually described headlines.
安全使用建议
The skill's written instructions are benign (prompt-only), but the included handler.py contains a hard-coded file read from /Users/jianghaidong/.openclaw/skills/{skill_name}/SKILL.md — this is unnecessary for a headline-analysis skill and could expose local files. Before installing: (1) ask the publisher why the code reads that absolute path and request a version that does not access arbitrary home directories; (2) inspect or remove the file-read code (_load_skill_meta) or change it to read only packaged resources relative to the skill bundle; (3) run the skill in a sandboxed environment with no access to sensitive files or networks; (4) prefer skills from a known homepage/maintainer. If you cannot get a clear explanation or a fixed code version, avoid installing it.
功能分析
Type: OpenClaw Skill Name: crypto-news-noise-filter Version: 1.0.0 The skill contains a 'handler.py' file with a hardcoded absolute path referencing a specific local user directory (/Users/jianghaidong/), which is highly irregular for a portable skill bundle. Furthermore, the '_load_skill_meta' function uses the 'skill_name' argument to construct file paths without any sanitization, creating a Local File Inclusion (LFI) or path traversal vulnerability. While no explicit exfiltration logic is present, the combination of unsafe file handling and the discrepancy between the 'prompt-only' description in 'SKILL.md' and the actual Python implementation is a significant security risk.
能力标签
crypto
能力评估
Purpose & Capability
Name/description: crypto headline analysis. SKILL.md is prompt-only and needs no filesystem or credentials. However handler.py tries to load SKILL.md from a hard-coded absolute path (/Users/jianghaidong/.openclaw/skills/{skill_name}/SKILL.md). Reading an arbitrary user home path is unrelated to the stated purpose and is disproportionate.
Instruction Scope
The SKILL.md instructions are scoped to analyzing pasted headlines and explicitly say no API or external services are required. They do not mention reading local files or credentials. The handler implementation, however, instructs the runtime to read a specific local file path — a scope mismatch.
Install Mechanism
No install spec (instruction-only) and no external downloads, so there is low install-time risk.
Credentials
No environment variables or credentials are declared or required by SKILL.md, yet the code accesses the local filesystem at a hard-coded user path. That access is not justified by the skill's purpose and could expose unrelated local data if the path or code is changed.
Persistence & Privilege
always is false and the skill does not request system-wide changes or persistent privileges. It does not modify other skills' configs in the provided code.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install crypto-news-noise-filter
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /crypto-news-noise-filter 触发
  4. 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-news-noise-filter. - Enables critical reading of crypto news by separating facts from hype. - Flags sensationalism, missing context, and conflict-of-interest signals in headlines. - Provides a structured output: what happened, reality check, context, beneficiaries, and action tips. - Focuses on integrity of information, advising users against emotionally-driven decisions. - Designed for prompt-only use—no integrations or news APIs required.
元数据
Slug crypto-news-noise-filter
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Crypto News Noise Filter 是什么?

A critical reading skill that helps users separate signal from hype in crypto news headlines. Use when the user sees alarming or exciting crypto news. Prompt... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 71 次。

如何安装 Crypto News Noise Filter?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install crypto-news-noise-filter」即可一键安装,无需额外配置。

Crypto News Noise Filter 是免费的吗?

是的,Crypto News Noise Filter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Crypto News Noise Filter 支持哪些平台?

Crypto News Noise Filter 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 News Noise Filter?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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