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Call Scorecard Builder
by
vx:17605205782
· GitHub ↗
· v1.0.1
· MIT-0
227
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2
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Install in OpenClaw
/install call-scorecard-builder
Description
为销售、客服或访谈通话生成评分维度、观察点与培训反馈模板。;use for scorecard, calls, sales workflows;do not use for 把单次录音当最终定论, 替代正式人力评估.
README (SKILL.md)
通话评分卡构建器
你是什么
你是“通话评分卡构建器”这个独立 Skill,负责:为销售、客服或访谈通话生成评分维度、观察点与培训反馈模板。
Routing
适合使用的情况
- 帮我设计销售通话评分卡
- 给每个维度写观察点
- 输入通常包含:通话目标、角色、好坏样例
- 优先产出:评分维度、观察点、复盘节奏
不适合使用的情况
- 不要把单次录音当最终定论
- 不要替代正式人力评估
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置,先明确边界,再只给审阅版内容或 dry-run 方案。
工作规则
- 先把用户提供的信息重组成任务书,再输出结构化结果。
- 缺信息时,优先显式列出“待确认项”,而不是直接编造。
- 默认先给“可审阅草案”,再给“可执行清单”。
- 遇到高风险、隐私、权限或合规问题,必须加上边界说明。
- 如运行环境允许 shell / exec,可使用:
python3 "{baseDir}/scripts/run.py" --input \x3C输入文件> --output \x3C输出文件>
- 如当前环境不能执行脚本,仍要基于
{baseDir}/resources/template.md与{baseDir}/resources/spec.json的结构直接产出文本。
标准输出结构
请尽量按以下结构组织结果:
- 评分维度
- 观察点
- 高分示例
- 低分示例
- 培训建议
- 复盘节奏
本地资源
- 规范文件:
{baseDir}/resources/spec.json - 输出模板:
{baseDir}/resources/template.md - 示例输入输出:
{baseDir}/examples/ - 冒烟测试:
{baseDir}/tests/smoke-test.md
安全边界
- 适合作为培训和辅导工具。
- 默认只读、可审计、可回滚。
- 不执行高风险命令,不隐藏依赖,不伪造事实或结果。
Usage Guidance
This skill appears to do what it claims: generate structured call scorecards and simple audits using local files. Before running it or letting an agent execute it autonomously, do not point the script at system-level or sensitive directories (e.g., /, home, or directories containing credentials). If you will pass voice transcripts or real call recordings, remove or redact personal data first. The script performs only local file reads and pattern scanning (no network calls), but granting an agent the ability to run it means the agent could read any files you provide as input — restrict inputs accordingly.
Capability Analysis
Type: OpenClaw Skill
Name: call-scorecard-builder
Version: 1.0.1
The skill bundle is a legitimate tool designed to generate call evaluation scorecards and training templates. The core logic in `scripts/run.py` is well-structured, uses only Python standard libraries, and includes defensive features such as a pattern scanner that checks for hardcoded secrets and dangerous shell commands (e.g., `curl|bash`). While the script contains auditing capabilities (directory scanning and pattern matching) that exceed the basic requirements of a scorecard builder, these appear to be part of a standardized 'Skill' template used for self-testing and quality assurance, as evidenced by `SELF_CHECK.md` and `tests/smoke-test.md`. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description (build call scorecards) align with included resources: spec.json, template.md, examples, and a local Python script that generates structured reports. Requested binary (python3) is appropriate and proportional.
Instruction Scope
SKILL.md stays within purpose and explicitly limits high-risk actions. It instructs running the included script or, if execution isn't available, producing output from the provided template/spec. The script can also run directory/csv/pattern/skill audits (it will read files under an input path), so if a user points it at broad or sensitive directories it will read those files — this is expected for audit modes but users should avoid passing system or sensitive paths.
Install Mechanism
No install spec; instruction-only plus a local Python script. No downloads or external package installs are requested. Only dependency is python3 and standard library per README and SELF_CHECK.
Credentials
No environment variables, credentials, or config paths are required. The script does not access secrets or network endpoints; it performs local file reads on the user-specified input only.
Persistence & Privilege
Skill is user-invocable, not always:true, and does not request permanent or elevated system presence. It does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install call-scorecard-builder - After installation, invoke the skill by name or use
/call-scorecard-builder - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- No changes detected in this version.
- Skill functionality, documentation, and resources remain identical to the previous release (1.0.0).
v1.0.0
Initial release of call-scorecard-builder.
- Generates scorecard dimensions, observation points, and training/feedback templates for sales, support, and interview calls.
- Provides clear guidance on when and how to use, emphasizing review drafts and confirmation steps.
- Includes robust rules for missing info, privacy, compliance, and operational boundaries.
- Outputs a structured template: scoring dimensions, observation points, high/low score samples, training suggestions, and review schedule.
- Default operation is read-only and auditable, with no high-risk actions.
Metadata
Frequently Asked Questions
What is Call Scorecard Builder?
为销售、客服或访谈通话生成评分维度、观察点与培训反馈模板。;use for scorecard, calls, sales workflows;do not use for 把单次录音当最终定论, 替代正式人力评估. It is an AI Agent Skill for Claude Code / OpenClaw, with 227 downloads so far.
How do I install Call Scorecard Builder?
Run "/install call-scorecard-builder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Call Scorecard Builder free?
Yes, Call Scorecard Builder is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Call Scorecard Builder support?
Call Scorecard Builder is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).
Who created Call Scorecard Builder?
It is built and maintained by vx:17605205782 (@52yuanchangxing); the current version is v1.0.1.
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