candidate-availability-call
Recruiting coordination phone-call skill that confirms candidate interview availability, captures evidence-backed time windows, and keeps final scheduling under human control.
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call
维护状态
新鲜
距上次推送 1 天
风险
需审查
Dependency or permission surface needs review
GitHub 质量
63
65/100 质量 · 73/100 信任
覆盖标签
审查说明
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
63 个 GitHub Stars
仓库活跃度
63 个 Star,127 个 Fork
维护状态
距上次推送 1 天
许可证
MIT
安装
npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call
安装安全性
标准软件包或运行时安装路径
权限范围
secrets or environment access, shell or command execution
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 63 GitHub stars
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Email and calendar 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Extract action items
适用 Agent
安装决策
- 命令
- npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call
- 策略
- 阻止
- 人工审查
- 是
信任与风险
- 信任
- 65/100
- 审计
- 77/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
安装命令
npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call不适用场景
- 需要厂商支持 SLA 的团队
- 没有内部安全审查的高合规环境
- 当前元数据中未发现重大风险信号
- 高风险权限提示:Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
37/100 · 避免自动安装
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
高
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
中
数据库访问
Skill 可能检查 Schema、查询数据库或处理持久化存储。
- 高风险权限提示:Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install calle-ai-candidate-availability-callAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20candidate-availability-call%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20candidate-availability-call%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/calle-ai-candidate-availability-call/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use candidate-availability-call in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20candidate-availability-call%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/calle-ai-candidate-availability-call/install
Install command: npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/calle-ai-candidate-availability-call/install
LLM 文本格式
/api/skills/calle-ai-candidate-availability-call/install?format=text
寻找替代方案
/api/skills/search?q=candidate-availability-call&limit=3
Agent 提示词
Use candidate-availability-call for this task. Review https://www.openagentskill.com/api/skills/calle-ai-candidate-availability-call/install, then install with: npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-callRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Manifest
/api/registry/manifest/calle-ai-candidate-availability-call
LLM 文本
/api/registry/manifest/calle-ai-candidate-availability-call?format=text
安装别名
/api/registry/install/calle-ai-candidate-availability-call
推荐
/api/registry/recommend?task=Use%20candidate-availability-call%20in%20an%20agent%20workflow&limit=3
Agent 决策面板
Fallback candidate for Email and calendar
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
Email and calendar
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- Email and calendar 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 65/100 质量档案
- 4 个 OpenAgentSkill 交互事件
先审查
- 当前元数据中未发现重大风险信号
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Email and calendar任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
检查63 个 GitHub Stars
Star/Fork 活跃度
检查63 个 Star,127 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 1 天
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 63 GitHub stars
- Stars/forks activity: 63 stars, 127 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Coordinate work
Email and calendar
I need my agent to summarize email, draft replies, and prepare calendar follow-ups.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Answer users
Customer support
I need my agent to triage support requests and draft useful replies from product knowledge.
工作流匹配
加入完整工作流
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: candidate-availability-call description: Recruiting coordination phone-call skill that confirms candidate interview availability, captures evidence-backed time windows, and keeps final scheduling under human control. license: MIT --- # Candidate Availability Call
Use this skill when a recruiter, hiring coordinator, founder, or talent team has explicit authority to place one disclosed phone call to a candidate for interview availability. The call asks for available time windows, confirms timezone and constraints, and records whether the candidate consents to follow-up through phone, SMS, or email.
This skill does not book, reschedule, cancel, or confirm an interview. It returns a structured availability result for a human coordinator to review before any calendar invite or ATS update is sent.
## When To Use
Use this skill for:
- confirming 2-3 candidate interview availability windows - clarifying candidate timezone and scheduling constraints - asking whether the candidate prefers phone, SMS, or email follow-up - leaving a short voicemail that asks the candidate to reply through an approved channel - creating an evidence-backed disposition for a recruiting coordinator
## When Not To Use
Do not use this skill to:
- screen the candidate or ask interview questions - discuss compensation, immigration, health, family status, disability, protected characteristics, or background-check topics - make employment promises or imply that an interview is already scheduled - call a candidate without authority from the recruiting team - call a private number that the user did not provide or authorize - place repeated retries, recurring calls, or hidden follow-ups - update calendars, ATS records, or CRM records without human review
## Required Inputs
- `request_id`: stable local request identifier - `candidate_name`: candidate name as provided by the recruiter - `to_phone_e164`: candidate phone number in E.164 format - `role_label`: role or interview label the candidate already knows - `company_name`: company or recruiting organization to disclose - `coordinator_name`: human coordinator responsible for the request - `authorized_contact_reason`: why this call is authorized - `interview_duration_minutes`: expected interview duration - `allowed_windows`: list of candidate-selectable windows the coordinator can support - `timezone`: IANA timezone to use when presenting windows - `followup_channels`: allowed follow-up channels, such as `phone`, `sms`, or `email`
Optional inputs:
- `voicemail_allowed` - `voicemail_message` - `language` - `region` - `candidate_context` - `do_not_discuss`
## Preflight
Before planning a call:
1. Confirm the user explicitly authorized this one candidate availability call. 2. Confirm the phone number is E.164 and was supplied by the recruiting workflow or candidate. 3. Confirm the call purpose is availability coordination only. 4. Confirm `allowed_windows` are real coordinator-supported options. 5. Refuse compensation, screening, protected-class, legal, medical, or background-check questions. 6. Prepare a dry-run preview before any CALL-E plan.
## CALL-E Goal Template
Use this as the CALL-E `--goal` body after filling the inputs:
```text You are an AI phone assistant calling on behalf of {company_name}. Disclose that immediately and say that {coordinator_name} authorized this one scheduling-coordination call.
Purpose: ask {candidate_name} about availability for {role_label}. This call is only for scheduling coordination. Do not interview, screen, discuss compensation, make employment promises, or confirm that an interview is booked.
If the configured CALL-E workflow records or transcribes calls, disclose that before asking scheduling questions and say the transcript is used only to create a scheduling note for human review.
Interview duration: {interview_duration_minutes} minutes. Timezone to use: {timezone}. Coordinator-supported windows: {allowed_windows}
Ask: 1. Which of these windows, if any, work for the candidate? 2. What timezone should the coordinator use? 3. Are there scheduling constraints the coordinator should know? 4. Which allowed follow-up channel does the candidate prefer: {followup_channels}? 5. Does the candidate consent to a follow-up through that channel about this interview scheduling request?
If voicemail answers and voicemail is authorized, leave the approved voicemail message. If the candidate declines, is uncertain, or asks a question outside scheduling, thank them and mark the result for human review.
Return a structured result with disposition, availability_windows, timezone_confirmed, constraints, preferred_followup_channel, consent_to_followup, voicemail_left, needs_human_review, and evidence. Do not infer availability or consent from silence. ```
## Structured Result
```json { "disposition": "available | unavailable | voicemail | no_answer | wrong_number | declined | needs_human_review", "request_id": "string", "candidate_name": "string", "availability_windows": [ { "start": "string", "end": "string", "timezone": "string", "evidence": "string" } ], "timezone_confirmed": "string", "constraints": [ "string" ], "preferred_followup_channel": "phone | sms | email | none | unknown", "consent_to_followup": "boolean; true only when the candidate explicitly consents", "voicemail_left": false, "needs_human_review": true, "evidence": [ { "claim": "string", "transcript_span": "string" } ], "do_not_rely_on": [ "string" ], "notes": "string" } ```
## Dry-Run Preview
Run the local preview script before any live CALL-E action:
```bash node scripts/validate-candidate-input.mjs assets/sample-candidate-request.json node scripts/preview-candidate-call.mjs assets/sample-candidate-request.json ```
The preview prints a masked phone number, a redacted CALL-E planning command, and the structured result schema. It does not place a call and does not contact CALL-E.
## Live Planning
Only after explicit user authorization and CALL-E authentication, copy the generated goal into a CALL-E planning command:
```bash calle call plan --to-phone <E164_PHONE> --goal "<reviewed goal text>" --timezone America/New_York --language English --region US ```
Planning is not execution. Do not run `calle call start` or `calle call run` unless the user separately confirms the provider's plan details and confirmation token.
## Human Gate
A successful call result is not a scheduled interview. A human coordinator must review the transcript-backed availability windows, choose a time, send the calendar invite, and update any ATS or CRM system.
## Cancellation And Idempotency
Derive an idempotency key from `request_id`, candidate, role, and allowed windows. If the user cancels, mark the local request stopped and do not retry. If a call outcome is ambiguous, route to human review rather than calling again automatically.
## Safety Notes
Read `references/safety.md` before using live planning, and review `references/examples.md` for safe and unsafe examples.
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月21日
- 发布时间
- 2026年8月21日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 candidate-availability-call 准备的场景化草稿,可手动发布到 X。
candidate-availability-call: Recruiting coordination phone-call skill that confirms candidate interview availability, capt... 63 stars https://www.openagentskill.com/skills/calle-ai-candidate-availability-call?ref=x
可选:带安装命令的回复
Listing + install path for candidate-availability-call: https://www.openagentskill.com/skills/calle-ai-candidate-availability-call?ref=x Install: npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-...
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- CALLE-AI
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 CALLE-AI,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/calle-ai-candidate-availability-call)
[](https://www.openagentskill.com/skills/calle-ai-candidate-availability-call)
[](https://www.openagentskill.com/skills/calle-ai-candidate-availability-call/audit)
[](https://www.openagentskill.com/skills/calle-ai-candidate-availability-call)作者
CALLE-AI
@calle-ai
平台适配
健康信号
- GitHub Stars
- 63
- 质量评分
- 36/100
- 最近 GitHub 推送
- 2026年8月21日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 4
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度63 个 GitHub Stars检查
- Star/Fork 活跃度63 个 Star,127 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 1 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险command execution surface, credential or environment access检查
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