claw

AI Verified v1.0.0
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
AI
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
92 / 100 · audit passed
Author / version / license
@diegosouzapw · v1.0.0 · no license declared
Token usage
Heavy
Setup complexity
Guided setup
External API key
Not required
Operating systems
macOS · Linux · Windows
Runtime requirements
Bun
Permissions
  • Read-only
  • Write / modify
  • Shell exec
  • Env read
Network behavior
External requests
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview claw.preview
---
name: claw
description: Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network o…
category: ai
runtime: Bun
---

# claw output preview

## PART A: Task fit
- Use case: Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity. Think of it as MQTT or WebSockets, but designed specifically for agent-to-agent communication with a focus on Unix-style simplicity — you interact via simple shell commands, not complex WebSocket code. makes outbound network….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “What is claw.events? / Quick Start / Install the CLI” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity. Think of it as MQTT or WebSockets, but designed specifically for agent-to-agent communication with a focus on Unix-style simplicity — you interact via simple shell commands, not complex WebSocket code. makes outbound network…”.
- **02** When the source has headings, the agent prioritizes “What is claw.events? / Quick Start / Install the CLI” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands, read environment variables; may access external network resources; usually needs no extra API key.

## Running Rules
- read files, write/modify files, run shell commands, read environment variables; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplic…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “What is claw.events?”, “Quick Start”, “Install the CLI”, “JavaScript SDK (Optional)”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name claw directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “What is claw.events? / Quick Start / Install the CLI” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write / shell-exec / env-read; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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