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tcd004

AgentWyre

作者 tcd004 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install agentwyre
功能描述
Get AI ecosystem intelligence from AgentWyre. Use when you need to check for breaking changes, security vulnerabilities, new model releases, or pricing updat...
使用说明 (SKILL.md)

AgentWyre — AI Ecosystem Intelligence

Query the AgentWyre API for curated, hype-checked intelligence about the AI ecosystem.

When to Use

  • User asks "what's new in AI" or "any breaking changes"
  • Checking if dependencies have security vulnerabilities or updates
  • Getting the daily AI brief or latest flash signals
  • Searching for information about specific AI tools, models, or frameworks

Quick Start

# Get today's free signals (no key needed)
curl -s https://agentwyre.ai/api/feed/free | python3 -m json.tool

# Get full feed (requires API key)
curl -s -H "Authorization: Bearer $AGENTWYRE_API_KEY" https://agentwyre.ai/api/feed

# Check service status
curl -s https://agentwyre.ai/api/status

API Endpoints

Endpoint Auth Description
GET /api/feed/free No Free tier (full wire, 2-day delay)
GET /api/feed API key Today's full feed
GET /api/feed/{date} API key Feed by date
GET /api/flash/latest Pro key Latest flash signal
GET /api/status No Service status
GET /api/languages No Supported languages
GET /api/advisories Pro key Security advisories
GET /api/costs Pro key AI model pricing

Using the Helper Script

# Get latest signals (free tier)
python3 scripts/agentwyre.py signals

# Get signals in a specific language
python3 scripts/agentwyre.py signals --lang ja

# Search (requires daily/pro key)
python3 scripts/agentwyre.py search "langchain breaking change"

# Check security for specific packages
python3 scripts/agentwyre.py security openai langchain torch

# Get flash signals (pro only)
python3 scripts/agentwyre.py flash

Set AGENTWYRE_API_KEY environment variable for authenticated access. Without it, you get the free tier (full wire, 2-day delay).

MCP Server

For deeper integration, install the MCP server:

{
  "mcpServers": {
    "agentwyre": {
      "command": "npx",
      "args": ["agentwyre-mcp"],
      "env": { "AGENTWYRE_API_KEY": "your_key" }
    }
  }
}

Tiers

  • Free — Full daily wire, 2-day delay. No key needed.
  • Daily ($2.99/mo) — Same-day access, search, 8 languages.
  • Pro ($9.99/mo) — Everything + hourly flash, security advisories, cost tracking.
  • USDC on Base accepted — no international bank fees.

Interpreting Signals

Each signal includes:

  • title + summary — What happened
  • category — release, security, ecosystem, infrastructure, research, breaking_change
  • severity — critical, high, medium, low
  • confidence — 1-10 (single source capped at 6)
  • hype_checkhype_level (verified/promising/overhyped/vaporware), reality, red_flags, green_flags
  • action — Recommended steps with commands and rollback instructions
  • sources — Verifiable URLs

Always present actions to the user before executing. All actions include requires_user_approval: true.

More info: https://agentwyre.ai/faq

安全使用建议
This skill appears to do what it says: call agentwyre.ai endpoints and present signals. Before installing, consider: (1) Pro features require an API key — only provide a key with the minimum privileges and avoid using high-privilege/shared credentials; (2) the MCP example uses npx which would fetch remote npm code if you run it — only run that if you trust the package source; (3) the registry metadata omits the optional AGENTWYRE_API_KEY reference, so expect to set that in your environment for full functionality; and (4) verify you trust the agentwyre.ai domain and its privacy practices since the skill will make network requests to that service.
功能分析
Type: OpenClaw Skill Name: agentwyre Version: 1.0.0 The agentwyre skill bundle is a legitimate tool for accessing AI ecosystem intelligence and security advisories from agentwyre.ai. The Python script (scripts/agentwyre.py) uses standard libraries to perform authenticated API requests and does not exhibit any signs of data exfiltration, obfuscation, or malicious execution. The instructions in SKILL.md are well-defined and include safety reminders for the AI agent to seek user approval before taking actions based on the intelligence received.
能力评估
Purpose & Capability
Name/description (AI ecosystem intelligence) aligns with the included CLI and documented API endpoints. Minor metadata mismatch: the registry lists no required env vars, but the README and script reference an optional AGENTWYRE_API_KEY for authenticated features.
Instruction Scope
SKILL.md instructs the agent to call agentwyre.ai endpoints (free and authenticated) and to run the included Python helper. Instructions do not ask the agent to read unrelated files, access other credentials, or transmit data to unexpected endpoints.
Install Mechanism
No install spec is provided and the included script is simple and local (low risk). SKILL.md shows an optional MCP server example using 'npx agentwyre-mcp' — if a user follows that, npx will fetch and run code from the npm registry, which is a separate runtime action not performed by the skill itself.
Credentials
The only environment variable referenced is AGENTWYRE_API_KEY, which is optional (free feed available). The registry metadata not declaring this optional key is an informational inconsistency but not a proportionality problem — no unrelated secrets are requested.
Persistence & Privilege
The skill is not always-enabled, doesn't request elevated or cross-skill configuration, and contains no code that modifies other skills or system-wide agent settings.
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 agentwyre
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /agentwyre 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 — AI ecosystem intelligence skill
元数据
Slug agentwyre
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

AgentWyre 是什么?

Get AI ecosystem intelligence from AgentWyre. Use when you need to check for breaking changes, security vulnerabilities, new model releases, or pricing updat... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 206 次。

如何安装 AgentWyre?

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

AgentWyre 是免费的吗?

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

AgentWyre 支持哪些平台?

AgentWyre 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 AgentWyre?

由 tcd004(@tcd004)开发并维护,当前版本 v1.0.0。

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