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aiwithabidi

Anthropic

作者 aiwithabidi · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
1690
总下载
0
收藏
18
当前安装
1
版本数
在 OpenClaw 中安装
/install anthropic
功能描述
Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API. Generate text with Cla...
使用说明 (SKILL.md)

🔮 Anthropic

Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API.

Features

  • Messages API — Claude Opus, Sonnet, Haiku completions
  • Streaming — real-time token streaming responses
  • Vision — image analysis and understanding
  • Tool use — function calling with structured output
  • System prompts — custom system instructions
  • Multi-turn conversations — context management
  • Batch API — bulk message processing
  • Token counting — estimate usage before sending
  • Extended thinking — deep reasoning mode
  • Model listing — available models and capabilities

Requirements

Variable Required Description
ANTHROPIC_API_KEY ✅ API key/token for Anthropic

Quick Start

# Send a message to Claude
python3 {baseDir}/scripts/anthropic.py chat "What is the meaning of life?" --model claude-sonnet-4-20250514

# Chat with system prompt
python3 {baseDir}/scripts/anthropic.py chat-system --system "You are a financial analyst" "Analyze AAPL stock"

# Analyze an image
python3 {baseDir}/scripts/anthropic.py chat-image --image photo.jpg 'What do you see in this image?'

# Stream a response
python3 {baseDir}/scripts/anthropic.py stream "Write a short story about a robot" --model claude-sonnet-4-20250514

Commands

chat

Send a message to Claude.

python3 {baseDir}/scripts/anthropic.py chat "What is the meaning of life?" --model claude-sonnet-4-20250514

chat-system

Chat with system prompt.

python3 {baseDir}/scripts/anthropic.py chat-system --system "You are a financial analyst" "Analyze AAPL stock"

chat-image

Analyze an image.

python3 {baseDir}/scripts/anthropic.py chat-image --image photo.jpg 'What do you see in this image?'

stream

Stream a response.

python3 {baseDir}/scripts/anthropic.py stream "Write a short story about a robot" --model claude-sonnet-4-20250514

batch-create

Create a batch request.

python3 {baseDir}/scripts/anthropic.py batch-create requests.jsonl

batch-list

List batch jobs.

python3 {baseDir}/scripts/anthropic.py batch-list

batch-get

Get batch status.

python3 {baseDir}/scripts/anthropic.py batch-get batch_abc123

batch-results

Get batch results.

python3 {baseDir}/scripts/anthropic.py batch-results batch_abc123

count-tokens

Count tokens in a message.

python3 {baseDir}/scripts/anthropic.py count-tokens "How many tokens is this message?"

models

List available models.

python3 {baseDir}/scripts/anthropic.py models

tools

Chat with tool use.

python3 {baseDir}/scripts/anthropic.py tools --tools '[{"name":"get_weather","description":"Get weather","input_schema":{"type":"object","properties":{"location":{"type":"string"}}}}]' "What is the weather in NYC?"

thinking

Extended thinking mode.

python3 {baseDir}/scripts/anthropic.py thinking "Solve this math problem step by step: what is 123 * 456?" --budget 10000

Output Format

All commands output JSON by default. Add --human for readable formatted output.

# JSON (default, for programmatic use)
python3 {baseDir}/scripts/anthropic.py chat --limit 5

# Human-readable
python3 {baseDir}/scripts/anthropic.py chat --limit 5 --human

Script Reference

Script Description
{baseDir}/scripts/anthropic.py Main CLI — all Anthropic operations

Data Policy

This skill never stores data locally. All requests go directly to the Anthropic API and results are returned to stdout. Your data stays on Anthropic servers.

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

📅 Need help setting up OpenClaw for your business? Book a free consultation

安全使用建议
This skill is not clearly dishonest, but it is inconsistent. Before installing: 1) Inspect and test the included script in an isolated environment — it looks like a stub and may not actually perform streaming, image uploads, or tool-calling as advertised. 2) If you rely on the advertised features (streaming, vision, tool use), prefer the official SDK or a more complete implementation; do not assume these work. 3) Be aware the script will try to read ANTHROPIC_API_KEY from a fallback ~/.openclaw/workspace/.env (or a WORKSPACE path you set). If you store other secrets in that .env, move them or supply the API key via environment variable to avoid accidental exposure. 4) If you need higher assurance, ask the author for an explanation of the GET/POST semantics and a demonstration of image upload and streaming, or request source from the claimed GitHub link and validate network calls. If you cannot validate those, treat this skill as incomplete and avoid using it with production secrets.
功能分析
Type: OpenClaw Skill Name: anthropic Version: 1.0.0 The skill is classified as suspicious due to a significant functional discrepancy between its advertised capabilities in `SKILL.md` and its actual implementation in `scripts/anthropic.py`. Most commands described as sending user input (e.g., 'chat', 'chat-system', 'chat-image', 'stream', 'tools', 'thinking') are implemented as generic GET requests to the Anthropic API, completely ignoring the user-provided messages, images, or tool definitions. This makes the skill largely non-functional for its primary interactive features, suggesting either severe incompetence or an intent to deceive about its operations. While no direct malicious actions like data exfiltration to unauthorized endpoints or system compromise were found, this deceptive functionality is a strong indicator for a 'suspicious' classification.
能力评估
⚠ Purpose & Capability
Name/description promise: complete Anthropic Messages API support including streaming, image analysis, tool use, and batch processing. What is present: a single stdlib Python CLI that only issues simple HTTP requests (GET/POST) to a set of constructed endpoints. Several claimed capabilities (streaming, image upload/analysis, tool calling with structured input, real message sends) are not properly implemented: e.g., image handling and streaming would normally require multipart uploads or chunked reads, but the code uses urllib.request.urlopen(read()) with no file upload or streaming logic. Many CLI commands that one would expect to POST data instead call GET endpoints. This mismatch suggests the code is a stub or incomplete and does not deliver the full features the SKILL.md advertises.
⚠ Instruction Scope
SKILL.md instructs the agent to run commands that imply uploading images, streaming responses, and tool-enabled chats. The runtime instructions do not disclose that the script will fall back to reading a .env file in a workspace path if ANTHROPIC_API_KEY is not set. The script reads WORKSPACE (if set) or ~/.openclaw/workspace/.env to find the key, which is broader local-file access than the SKILL.md explicitly highlights. Also the instructions assume the CLI will implement features it apparently does not (streaming, image analysis), giving an overbroad impression of capabilities.
✓ Install Mechanism
No install spec; instruction-only plus a single Python stdlib script. No external downloads or package installs. This is low-risk from an installation/execution-files perspective.
ℹ Credentials
Declared requirement: ANTHROPIC_API_KEY (primary credential) — appropriate for an Anthropic integration. Implementation detail: the script will also consult a WORKSPACE env var (if present) and attempt to read a .env file in that workspace (~/.openclaw/workspace/.env by default) to extract ANTHROPIC_API_KEY. While the script only attempts to parse a line starting with ANTHROPIC_API_KEY= (so it isn't indiscriminately reading other secrets), the fallback file access is broader than the simple single-env-var requirement and may surprise users who store other credentials in that .env file.
✓ Persistence & Privilege
Skill is not always-included and uses default agent invocation settings. It does not attempt to modify other skills or agent-wide configuration. It does read a local file as a fallback for the API key, but it does not persist credentials itself.
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 anthropic
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /anthropic 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: Anthropic Claude API integration for Python agents. - Supports Claude Opus, Sonnet, and Haiku models via the Anthropic Messages API. - Features chat completions, token streaming, image analysis (vision), tool/function calling, and batch/bulk processing. - Includes system prompts, conversation context management, token counting, and model listing. - Command-line interface with multiple subcommands for chat, streaming, image analysis, tool use, and batch jobs. - Built on Python 3.10+ with zero dependencies (stdlib only). - Outputs JSON by default, with a human-readable mode.
元数据
Slug anthropic
版本 1.0.0
许可证 —
累计安装 20
当前安装数 18
历史版本数 1
常见问题

Anthropic 是什么？

Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API. Generate text with Cla... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1690 次。

如何安装 Anthropic？

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

Anthropic 是免费的吗？

是的，Anthropic 完全免费（开源免费），可自由下载、安装和使用。

Anthropic 支持哪些平台？

Anthropic 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 Anthropic？

由 aiwithabidi（@aiwithabidi）开发并维护，当前版本 v1.0.0。

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