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Research Harness

作者 focusailab · GitHub ↗ · v0.7.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install research-harness
功能描述
Open prompt stack for public-market research. Show this menu after install: 📊 Research: 1.Company Deep-dive 2.Industry Map 3.Investment Thesis 📈 Earnings:...
安全使用建议
Summary of what to check before installing: - Understand the workspace I/O: This skill expects the agent to read and write files like .task-pulse, .checkpoint/, coverage/, active-tasks.md, biases.md, and to archive outputs. If your workspace contains sensitive files, the harness could read them — run it in a dedicated / disposable workspace first. - Review INSTALL-PROMPT.md before copy-pasting: The manifest includes a 'critical' install prompt that the author expects you to paste into your agent's system prompt to force behavior. That is a persistent change to your agent configuration; inspect it and only apply it if you trust the author and understand the effects. - Optional connectors need credentials: iFind MCP and other adapters are optional but require external credentials if enabled. Only provide those to trusted code and verify what the skill will do with those sources. - Test with limited permissions: If possible, enable the skill in a restricted environment (no network credentials, separate workspace) to observe what files it creates and how it autotrigger behaves. - Audit created files: After first use, inspect .task-pulse, .checkpoint, and coverage/ outputs to confirm they contain only expected research artifacts and no leakage of other local data. - Disable/modify auto-trigger behavior if undesired: The harness defines many trigger rules that cause the menu and routing to display automatically on common phrases. If you find that intrusive, do not apply the INSTALL-PROMPT and avoid wiring it into your global system prompt — instead invoke the skill manually. What would change this assessment: evidence that the skill's INSTALL-PROMPT is benign and only contains non-persistent helper text, or explicit metadata declaring the config paths and a clear permission model for file I/O; conversely, discovery of hidden remote-download/install steps or commands that access system-level paths would raise the risk to 'malicious'.
功能分析
Type: OpenClaw Skill Name: research-harness Version: 0.7.0 The research-harness bundle is a comprehensive framework designed for financial analysts to conduct structured equity research using AI agents. It implements a sophisticated state management system using local files (.task-pulse, .checkpoint/) and enforces a strict analytical discipline through mandatory preambles and postambles (core/preamble.md, core/postamble.md). While the bundle contains explicit instructions to steer agent behavior and UI presentation (e.g., in SKILL.md and core/menu.md), these directives are strictly aligned with the stated goal of reducing hallucinations and maintaining research context. There is no evidence of data exfiltration, malicious execution, or unauthorized access; the tool's use of web search and financial APIs (iFind MCP) is consistent with its purpose as a market research tool.
能力评估
Purpose & Capability
Name, description and the included skill docs align with a public-markets research harness: routing, evidence grading, preflight/postamble, and many research sub-skills. However, the SKILL.md and core files expect the agent to read and write a number of workspace files and directories (e.g., .task-pulse, .checkpoint/, coverage/, biases.md, active-tasks.md, output archive paths). The registry metadata declares no required config paths or env vars — that's an inconsistency worth noting (the skill clearly expects file-system workspace access even though 'required config paths' is empty).
Instruction Scope
The runtime instructions mandate behaviors beyond simple prompt templates: show a full menu automatically on many triggers, run a multi-step preamble/postamble that reads/writes .task-pulse, checkpoint files, archive outputs into coverage directories, and optionally call external adapters (iFind, cn-web-search, WebFetch) if available. This is broad file I/O (read+write) of workspace state and automatic routing based on trigger words. If your agent environment allows filesystem access, the skill will read and create persistent files across sessions and will attempt to invoke optional data connectors. The SKILL.md also instructs the user/agent to copy an INSTALL-PROMPT into the host system prompt file to force behavior — that effectively modifies persistent agent behavior and should be reviewed before applying.
Install Mechanism
There is no code install spec (instruction-only), so no remote binaries are downloaded — that lowers code-execution risk. However the manifest references a critical user_install_prompt (INSTALL-PROMPT.md) that the author expects the user to paste into a global system prompt file to 'force' harness rules. That is an installation-time, manual change to your agent environment and can be persistent; treat it like a configuration change and review carefully before applying.
Credentials
The skill declares no required env vars or credentials, which is coherent for an instruction-only prompt stack. In practice it documents optional adapter integrations (iFind MCP, cn-web-search, WebFetch) — these external connectors would need credentials/accounts if you choose to enable them. The skill does not require these, but if you wire them up you will be granting it access to those data sources.
Persistence & Privilege
The harness is explicitly designed to persist state: .task-pulse (a heartbeat pointer), .checkpoint files, coverage/ archive outputs, and updates to active-tasks.md. It also encourages placement of a persistent INSTALL-PROMPT into the host system prompt. While not 'always:true', these persistent behaviors give the skill ongoing presence in the workspace and the ability to read historical outputs and local files repeatedly. That is legitimate for a research workflow but raises privacy/attack-surface concerns if sensitive files exist in the workspace or if the INSTALL-PROMPT is applied without review.
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 research-harness
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /research-harness 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
v0.7.0
重命名:investor-harness → research-harness
元数据
Slug research-harness
版本 0.7.0
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

Research Harness 是什么?

Open prompt stack for public-market research. Show this menu after install: 📊 Research: 1.Company Deep-dive 2.Industry Map 3.Investment Thesis 📈 Earnings:... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 86 次。

如何安装 Research Harness?

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

Research Harness 是免费的吗?

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

Research Harness 支持哪些平台?

Research Harness 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 Research Harness?

由 focusailab(@joansongjr)开发并维护,当前版本 v0.7.0。

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