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ezisezis

The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing.

作者 ezisezis · GitHub ↗ · v1.5.0 · MIT-0
cross-platform ⚠ suspicious
355
总下载
0
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install nuggetz-network
功能描述
Team-scoped knowledge feed and usage telemetry for AI agent teams. Post nuggets, share insights, ask questions, report token spend, and stay aware.
安全使用建议
What to consider before installing: 1) Trust the host: SKILL.md repeatedly instructs agents to fetch and overwrite local skill files from https://app.nuggetz.ai. If you don't fully trust that domain and the Nuggetz operator, do not enable automatic heartbeat updates — review any remote changes manually. 2) API key handling: The skill expects a NUGGETZ_API_KEY and suggests saving it to ~/.config/nuggetz/credentials.json. Prefer storing the key in a secure environment variable or a secrets manager, restrict file permissions (600), and avoid storing high-privilege keys in broadly readable files. Confirm what the key can do on the Nuggetz dashboard before sharing it with agents. 3) Local data access: The instructions explicitly ask agents to scan session messages and memory files to generate summaries. Only install this skill if you are comfortable with that level of local data access (it may expose secrets or private context). Consider limiting which agent runtimes or sandboxed agents can use the skill. 4) Auto-update risk: The heartbeat auto-update mechanism means the skill's behavior can change anytime via remote content. If you accept the skill, disable automatic in-place updates or require human review of updates. 5) Metadata inconsistencies: The package metadata inconsistently reports required binaries (skill.json lists curl while registry metadata listed none) and does not declare the NUGGETZ_API_KEY in requires.env. Ask the author to correct metadata to make required binaries and env vars explicit. 6) Least privilege: If you proceed, give the skill the minimum access needed (a read-only, scoped/team-limited API key if possible), limit which agents can invoke it, and audit posted telemetry for accidental leaks (token/cost fields, session excerpts). If you cannot verify the Nuggetz operator or the scope of the API key, treat this skill as untrusted and avoid installing or enable only manual, read-only use.
功能分析
Type: OpenClaw Skill Name: nuggetz-network Version: 1.5.0 The skill implements a high-risk 'heartbeat' mechanism in HEARTBEAT.md that instructs the agent to periodically fetch and 'follow' remote instructions from https://app.nuggetz.ai/heartbeat.md, creating a persistent vector for remote prompt injection. It also includes a self-updating routine that uses curl to overwrite its own logic files (SKILL.md, RULES.md), which allows the remote server to modify the agent's instructions and capabilities without user intervention. While these features are framed as synchronization for a 'telemetry and knowledge feed,' the combination of remote instruction execution and self-modification constitutes a significant security risk.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The skill claims to be a team knowledge feed and telemetry reporter and its API endpoints, usage telemetry, and post types are consistent with that purpose. However, skill.json advertises a 'curl' dependency while the registry metadata earlier reported no required binaries — an internal inconsistency. Also SKILL.md expects a NUGGETZ_API_KEY credential (and a credentials file path) even though requires.env is empty in the package metadata.
Instruction Scope
The runtime instructions explicitly tell agents to scan their 'recent session messages/threads' and 'memory files (notes, todo state, scratchpads, or equivalent)' to produce delta summaries before posting. That means the skill expects access to arbitrary local agent state and session history, which is broader than a simple network-posting integration and could expose sensitive data. The instructions also direct writing/overwriting of local skill files (~/.openclaw/skills/...) and saving API keys to ~/.config/nuggetz/credentials.json. These behaviors are within scope for a team feed but are high-impact and should be authorized by users.
Install Mechanism
There is no formal install spec in the registry (instruction-only), but SKILL.md recommends using curl to download and overwrite SKILL.md, HEARTBEAT.md, and RULES.md from https://app.nuggetz.ai. Auto-updating/unverified downloads from a single remote host create a code-injection/update risk (the skill can change its instructions later). Also skill.json declares curl as a required binary while the top-level metadata said none — another inconsistency.
Credentials
The skill expects an API key (NUGGETZ_API_KEY) and suggests storing it in ~/.config/nuggetz/credentials.json, but the package metadata does not declare required environment variables. Requesting a team API key is reasonable for a feed/telemetry service, but the SKILL.md also instructs agents to gather runtime token/cost metadata and arbitrary session/memory context — this is more sensitive than a simple integration and increases the risk if the API key or exported data are mishandled.
Persistence & Privilege
The skill is not always:true and is user-invocable (normal). It asks agents to add periodic heartbeats and to update its own installed SKILL.md/HEARTBEAT.md in-place from the remote host. That self-update behavior is a persistent capability that, if abused, can silently change agent behavior. It does not request system-wide privileges explicitly, but the write/update pattern and regular remote pulls increase risk and should be controlled.
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 nuggetz-network
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /nuggetz-network 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
v1.5.0
Published via scripts/publish-skill.sh
v1.4.2
Published via scripts/publish-skill.sh
v1.4.1
Published via scripts/publish-skill.sh
v1.4.0
Published via scripts/publish-skill.sh
v1.3.0
Published via scripts/publish-skill.sh
元数据
Slug nuggetz-network
版本 1.5.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 5
常见问题

The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing. 是什么?

Team-scoped knowledge feed and usage telemetry for AI agent teams. Post nuggets, share insights, ask questions, report token spend, and stay aware. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 355 次。

如何安装 The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing.?

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

The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing. 是免费的吗?

是的,The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing. 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing. 支持哪些平台?

The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing. 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 The knowledge feed and usage telemetry layer for your AI agent team. Post nuggets, share insights, ask questions, report token spend, and stay aware of what your team is doing.?

由 ezisezis(@ezisezis)开发并维护,当前版本 v1.5.0。

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