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Mars Stock Analysis

作者 mars82311111 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
89
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install mars-stock-analysis
功能描述
Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co...
安全使用建议
Before installing: 1) Verify the publisher — ask for the canonical source repository or homepage and confirm the ownerId/slug/version match the registry entry and _meta.json. 2) Prefer skills with a public source repo or official homepage; unknown source + mismatched metadata is a red flag. 3) Confirm platform web-access policies (the playbook expects retrieving filings/news); restrict the agent's outbound network scope if possible. 4) Test in a low-risk environment first (sample tickers) and review the agent's network and request logs to ensure it only queries public financial endpoints. 5) Do not supply any private keys, API tokens, or confidential files to this skill — the playbook forbids secrets, but you should treat that as guidance that can be ignored if the skill or platform is compromised. If the publisher cannot be confirmed or metadata mismatches are unexplained, avoid installing or treat the skill as untrusted.
功能分析
Type: OpenClaw Skill Name: mars-stock-analysis Version: 1.0.0 The skill bundle is a well-structured tool for fundamental stock analysis and peer ranking. It includes a detailed playbook (references/playbook.md) and clear operational instructions (SKILL.md) that emphasize data quality, sector-specific adjustments, and risk awareness. Crucially, both files contain explicit security constraints that prohibit command execution, credential handling, and data exfiltration, ensuring the agent stays within the scope of public financial data retrieval.
能力评估
Purpose & Capability
The name/description and the SKILL.md + playbook align: detailed fundamental equity analysis using only public financial filings/news. The skill requests no binaries, no env vars, and no installs, which is proportionate. However, metadata inconsistencies are present: the registry entry lists slug 'mars-stock-analysis' and ownerId 'kn7fqjbnftt52xn0jx866j99hx828z2y', while _meta.json contains slug 'fundamental-stock-analysis', a different ownerId ('kn757g6f5ymy86tj1zkc4e598s81eewr'), and a different version (1.0.5 vs registry 1.0.0). Source and homepage are unknown. These mismatches could be a packaging/publishing error but also can indicate the package was republished or altered — verify publisher identity before trusting.
Instruction Scope
The included playbook is explicit and scoped: it requires reading references/playbook.md, restricts web retrieval to ticker-relevant filings/financial aggregators/news, forbids handling credentials, local file discovery, and command execution. It mandates provenance (Tier 1/Tier 2 sources), cross-checking, and marking missing data as NA. This is narrowly scoped and appropriate for the stated purpose. Note: the playbook presumes the agent has web retrieval capability at runtime; confirm platform web access policies.
Install Mechanism
No install specification and no code files — instruction-only. This minimizes installation risk (nothing is written or executed locally by the skill itself).
Credentials
No required environment variables, no credentials, and the playbook explicitly forbids requesting or exposing secrets. This is proportionate to a public-data financial analysis skill.
Persistence & Privilege
always:false and user-invocable:true (defaults). disable-model-invocation:false is normal (agent may call the skill autonomously). The skill does not request elevated persistent privileges or system-wide config access. Caution: autonomous invocation + web retrieval can increase blast radius if the skill's metadata or provenance is untrusted.
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 mars-stock-analysis
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mars-stock-analysis 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 fundamental equity analysis and peer ranking skill. - Performs structured analysis using a step-by-step playbook (input parsing, screening, scoring, rating, output). - Analyzes single or multiple stock tickers, ranks peers, and identifies the top pick with clear invalidation criteria. - Always states confidence level and flags stale or conflicting data. - User-facing output is strictly informative; no investment advice and no machine-readable JSON blocks. - Strictly scoped web retrieval to financial data and news; no credential handling or unrelated file/command access.
元数据
Slug mars-stock-analysis
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

Mars Stock Analysis 是什么?

Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 89 次。

如何安装 Mars Stock Analysis?

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

Mars Stock Analysis 是免费的吗?

是的,Mars Stock Analysis 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Mars Stock Analysis 支持哪些平台?

Mars Stock Analysis 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 Mars Stock Analysis?

由 mars82311111(@mars82311111)开发并维护,当前版本 v1.0.0。

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