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在 OpenClaw 中安装
/install listen
功能描述
Improve transcription accuracy over time. Learn corrections, configure STT.
使用说明 (SKILL.md)
Active Listening
This skill auto-evolves. Track transcription errors and learn corrections.
Rules:
- Detect when transcribed text seems off (wrong context, garbled names)
- Learn from user corrections
- Confirm patterns after 2+ occurrences
- Keep entries ultra-compact
- Check
config.mdfor OpenClaw STT setup,criteria.mdfor format
Corrections
\x3C!-- Mistranscriptions learned. Format: wrong → right (confidence) -->
Patterns
\x3C!-- Recurring issues. Format: "pattern" -->
Context
\x3C!-- Domain-specific terms that get mangled. Format: "term" -->
Never
\x3C!-- False positives to ignore -->
Empty sections = no corrections yet. Learn as you go.
安全使用建议
Before installing or enabling this skill, ask the publisher/platform these concrete questions: (1) Where are learned corrections stored (platform-managed store, skill file, external service)? (2) Who/what can read or export that stored data (other skills, admins, remote services)? (3) Are transcripts or corrections ever sent to third parties or STT providers automatically? If so, which endpoints and under what conditions? (4) How long is data retained and how can a user view or delete their corrections? (5) If you supply STT provider API keys, how/where are they stored (encrypted at rest?), and will the skill transmit them somewhere? If you have privacy concerns, test the skill with non-sensitive audio first, consider disabling autonomous invocation or restricting the skill, and require explicit confirmation before any network sync or provider configuration. If the publisher cannot clearly answer these, treat the skill as risky.
功能分析
Type: OpenClaw Skill
Name: listen
Version: 1.0.0
The skill bundle's purpose is to improve transcription accuracy by learning from user corrections and configuring Speech-to-Text (STT) settings. All instructions within `SKILL.md`, `config.md`, and `criteria.md` are aligned with this stated purpose. There is no evidence of prompt injection attempts, data exfiltration, malicious execution, or persistence mechanisms. While `config.md` references API keys for STT providers, it does so in the context of guiding the agent to help the user with configuration, not for unauthorized access or theft.
能力评估
Purpose & Capability
Name/description align with the instructions: the skill is intended to learn and apply transcription corrections. The included config.md shows example STT provider API keys (groq/openai/local) which are reasonable for an STT-related skill, but the skill does not declare any required credentials — these provider keys appear optional/example-only.
Instruction Scope
SKILL.md tells the agent to "track transcription errors and learn corrections" and to confirm patterns after repeated occurrences, but it is silent about where corrections are stored, how long they are retained, who/what can read them, and whether learned data is transmitted to any external endpoint or synced to provider services. The wording is open-ended and grants broad discretion to the agent to collect and persist potentially sensitive transcript/correction data.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest-risk installation surface (nothing is written to disk by an installer).
Credentials
The skill declares no required environment variables or credentials (good). However, config.md contains example API key placeholders for STT providers (gsk_..., sk-...) — if you later configure a provider you will need to supply keys; ensure you understand where those keys are stored and who can access them.
Persistence & Privilege
always is false and there are no declared config paths. The skill states it "auto-evolves," which implies persistent state; the platform behavior for storing skill state is not described here. Autonomous invocation is allowed by default (normal), but combined with unspecified persistence this increases the need to confirm retention and access controls.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install listen - 安装完成后,直接呼叫该 Skill 的名称或使用
/listen触发 - 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
元数据
常见问题
Listen 是什么?
Improve transcription accuracy over time. Learn corrections, configure STT. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1007 次。
如何安装 Listen?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install listen」即可一键安装,无需额外配置。
Listen 是免费的吗?
是的,Listen 完全免费(开源免费),可自由下载、安装和使用。
Listen 支持哪些平台?
Listen 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。
谁开发了 Listen?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。
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