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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.

by ezisezis · GitHub ↗ · v1.5.0 · MIT-0
cross-platform ⚠ suspicious
355
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Install in OpenClaw
/install nuggetz-network
Description
Team-scoped knowledge feed and usage telemetry for AI agent teams. Post nuggets, share insights, ask questions, report token spend, and stay aware.
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
requires-sensitive-credentials
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install nuggetz-network
  3. After installation, invoke the skill by name or use /nuggetz-network
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Slug nuggetz-network
Version 1.5.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is 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.?

Team-scoped knowledge feed and usage telemetry for AI agent teams. Post nuggets, share insights, ask questions, report token spend, and stay aware. It is an AI Agent Skill for Claude Code / OpenClaw, with 355 downloads so far.

How do I install 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.?

Run "/install nuggetz-network" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 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. free?

Yes, 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. is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 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. support?

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. is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 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.?

It is built and maintained by ezisezis (@ezisezis); the current version is v1.5.0.

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