← 返回 Skills 市场
Random Coffee Best Fit Outreach
作者
Zakhar Pashkin
· GitHub ↗
· v0.1.3
· MIT-0
103
总下载
0
收藏
1
当前安装
4
版本数
在 OpenClaw 中安装
/install random-coffee-best-fit-outreach
功能描述
Offline random coffee skill for ranking opt-in people and preparing consent-first intro packets. It creates local reports only; any external communication st...
安全使用建议
This skill appears to do what it claims: run an offline matching workflow using local, consented CSV data and produce local review packets. Before using it: (1) verify participant data is properly consented and stripped of private profile text/handles, (2) run the included tests (pytest) and inspect the repository's src/random_coffee_matcher package locally to confirm behavior, (3) keep generated packets local and perform any outreach manually per the runbook, and (4) run the tool in an isolated environment if you want extra assurance (no network access required).
功能分析
Type: OpenClaw Skill
Name: random-coffee-best-fit-outreach
Version: 0.1.3
The skill provides a workflow for matching participants for networking ('random coffee') using local CSV data. The instructions in SKILL.md and the accompanying runbooks (references/outreach-surface-runbook.md) are heavily focused on privacy, consent, and ensuring that all data processing and communication drafting remain local and operator-controlled. The Python wrapper (scripts/random_coffee_matcher.py) is a standard utility for executing the package's CLI logic, and no indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
Name/description ask for offline ranking and packet generation; the only runtime requirement is Python and the bundled wrapper script simply invokes a local CLI from the repo. No unrelated credentials, binaries, or config paths are required.
Instruction Scope
SKILL.md confines actions to local CSV inputs, local reports, and manual operator handoff. Commands shown run the local CLI/module and test suite. The instructions explicitly forbid external communication from the public skill and call out consent rules.
Install Mechanism
There is no install spec—this is instruction-only plus a small launcher script. Nothing is downloaded or written during install by the skill itself.
Credentials
No environment variables, secrets, or external credentials are requested. The skill expects operator-supplied, consented participant data and documents privacy-preserving practices.
Persistence & Privilege
The skill is not forced-always and does not request persistent system-wide privileges or modify other skills. It merely runs local code when invoked.
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 random-coffee-best-fit-outreach - 安装完成后，直接呼叫该 Skill 的名称或使用
/random-coffee-best-fit-outreach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
v0.1.3
Restore public skill metadata with version, homepage, license, skill key, and Python runtime alternatives.
v0.1.2
- Removed redundant metadata fields and version from SKILL.md for a cleaner skill definition.
- No functional or behavioral changes to the skill; documentation only.
v0.1.1
Remove platform-control wording from the public ClawHub skill and add a local ClawHub surface gate.
v0.1.0
Initial public ClawHub release.
元数据
常见问题
Random Coffee Best Fit Outreach 是什么？
Offline random coffee skill for ranking opt-in people and preparing consent-first intro packets. It creates local reports only; any external communication st... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 103 次。
如何安装 Random Coffee Best Fit Outreach？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install random-coffee-best-fit-outreach」即可一键安装，无需额外配置。
Random Coffee Best Fit Outreach 是免费的吗？
是的，Random Coffee Best Fit Outreach 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Random Coffee Best Fit Outreach 支持哪些平台？
Random Coffee Best Fit Outreach 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 Random Coffee Best Fit Outreach？
由 Zakhar Pashkin（@zack-dev-cm）开发并维护，当前版本 v0.1.3。
推荐 Skills