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.
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call
Maintenance
fresh
2d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
63
65/100 Quality · 73/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
63 GitHub stars
Repo activity
63 stars, 127 forks
Maintenance
2d since push
License
MIT
Install
npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- 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
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Email and calendar workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Extract action items
Suited agents
Install decision
- Command
- npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-call
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 65/100
- Audit
- 77/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add CALLE-AI/awesome-phone-call-agents --skill candidate-availability-callDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
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Agent safety v2
37/100 · Avoid automatic install
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.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
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 resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20candidate-availability-call%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20candidate-availability-call%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/calle-ai-candidate-availability-call/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
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 handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/calle-ai-candidate-availability-call/install
LLM text format
/api/skills/calle-ai-candidate-availability-call/install?format=text
Find alternatives
/api/skills/search?q=candidate-availability-call&limit=3
Agent prompt
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 metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/calle-ai-candidate-availability-call
LLM text
/api/registry/manifest/calle-ai-candidate-availability-call?format=text
Install alias
/api/registry/install/calle-ai-candidate-availability-call
Recommend
/api/registry/recommend?task=Use%20candidate-availability-call%20in%20an%20agent%20workflow&limit=3
Agent fit
Email and calendar
Platforms
Claude Code
Audit report
Needs review · 77/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Email and calendar
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Email and calendar
Trust label
Prototype first
Install path
Command ready
Use when
- Email and calendar workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 65/100 quality profile
- 4 OpenAgentSkill engagement events
review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Email and calendar task end to end.
- 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.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK63 GitHub stars
Stars/forks activity
CHECK63 stars, 127 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- 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
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
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.
Workflow fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
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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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
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Overview
--- 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.
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 21, 2026
- Published
- Aug 21, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 78/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for candidate-availability-call, ready for a manual X post.
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
Optional reply with install command
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-...
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- CALLE-AI
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to CALLE-AI but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](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)Author
CALLE-AI
@calle-ai
Tags
Platform fit
Health signals
- GitHub stars
- 63
- Quality score
- 36/100
- Last GitHub push
- Aug 21, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 4
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption63 GitHub starsCHECK
- Stars/forks activity63 stars, 127 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance2d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, credential or environment accessCHECK
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