← 返回 Skills 市场
randzero

Step Asr

作者 Li Xie · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
345
总下载
1
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install step-asr
功能描述
Transcribe audio files to text via Step ASR streaming API (HTTP SSE). Supports Chinese and English, multiple audio formats (PCM, WAV, MP3, OGG/OPUS), real-ti...
安全使用建议
This skill appears to implement exactly what it claims: it base64-encodes a local audio file and sends it to the Step/StepFun ASR endpoint using the STEPFUN_API_KEY. Before installing, consider: (1) Privacy—audio you transcribe is uploaded to StepFun, so avoid sending sensitive audio unless you trust the service and key; (2) API key handling—store the STEPFUN_API_KEY securely and avoid hardcoding it; (3) Resource use—the script reads the entire file into memory (may be large for long audio); (4) Review network access—the script contacts api.stepfun.com, which matches the description; (5) If you need different behavior (streaming chunks from disk rather than single large upload), inspect/modify the script. Overall the skill is coherent with its stated purpose.
功能分析
Type: OpenClaw Skill Name: step-asr Version: 1.0.0 The skill bundle is designed to transcribe audio files using the Step ASR API. The `SKILL.md` provides clear instructions and usage examples, and the `scripts/transcribe.py` script implements this functionality by reading a specified audio file, base64-encoding it, and sending it along with an API key (read from `STEPFUN_API_KEY` environment variable) to the `https://api.stepfun.com/v1/audio/asr/sse` endpoint. There is no evidence of unauthorized data exfiltration, malicious execution, persistence mechanisms, prompt injection attempts against the OpenClaw agent, or obfuscation. The file writing capability (`--out` argument) is for saving transcription results, which is a legitimate function of the skill, and does not indicate malicious intent within the skill itself.
能力评估
Purpose & Capability
Name/description, required env var (STEPFUN_API_KEY), declared primary credential, and the network endpoint in the code (https://api.stepfun.com/v1/audio/asr/sse) all align with a Step/StepFun ASR client.
Instruction Scope
SKILL.md instructs running the included Python script to read a local audio file and send it to the Step ASR API; the runtime instructions and script only read the specified audio file, optional output path, and the declared API key. There are no instructions to read unrelated files or credentials.
Install Mechanism
No install step is provided (instruction-only) and a single small Python script is included; nothing is downloaded from untrusted URLs and no archives are extracted.
Credentials
Only STEPFUN_API_KEY is required and used as the Authorization header. No other secrets, unrelated credentials, or config paths are requested or accessed.
Persistence & Privilege
Skill is not always-enabled and does not modify other skills or system-wide settings. It runs on-demand and does not request persistent elevated privileges.
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 step-asr
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /step-asr 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 of step-asr. - Transcribe audio files to text using the Step ASR streaming API (HTTP SSE). - Supports Chinese and English languages. - Handles multiple audio formats: PCM, WAV, MP3, OGG/OPUS. - Real-time streaming output and non-streaming (final result) modes. - Allows terminology correction via prompt. - Optional JSON output with usage stats. - Requires STEPFUN_API_KEY environment variable for authentication.
元数据
Slug step-asr
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Step Asr 是什么?

Transcribe audio files to text via Step ASR streaming API (HTTP SSE). Supports Chinese and English, multiple audio formats (PCM, WAV, MP3, OGG/OPUS), real-ti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 345 次。

如何安装 Step Asr?

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

Step Asr 是免费的吗?

是的,Step Asr 完全免费(开源免费),可自由下载、安装和使用。

Step Asr 支持哪些平台?

Step Asr 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 Step Asr?

由 Li Xie(@randzero)开发并维护,当前版本 v1.0.0。

💬 留言讨论