Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add claude-office-skills/skills --skill hr-automationgit clone --depth 1 https://github.com/claude-office-skills/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/claude-office-skills/skills/hr-automation)<a href="https://agentmods.dev/skills/claude-office-skills/skills/hr-automation"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/hr-automation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/claude-office-skills/skills/hr-automation"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/hr-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.02471 |
| Opus 5 | $0.00010 | $0.01236 |
| Sonnet 5 | $0.00004 | $0.00494 |
| Haiku 4.5 | $0.00002 | $0.00247 |
Grade A, and why
hr-automation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 483 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR Automation
Automate HR workflows including recruiting, onboarding, employee management, and offboarding. Based on n8n's HR workflow templates.
Overview
This skill covers:
- Recruiting pipeline automation
- Employee onboarding workflows
- Performance review cycles
- Time-off management
- Offboarding processes
Recruiting Automation
Applicant Pipeline
recruiting_pipeline:
stages:
- applied
- screening
- phone_interview
- technical_interview
- onsite_interview
- offer
- hired
automations:
new_application:
trigger: application_received
actions:
- send_confirmation: to_candidate
- notify_recruiter: slack
- add_to_tracking: airtable
- ai_resume_screen: if_enabled
stage_change:
trigger: candidate_moved
actions:
- update_candidate: in_ats
- notify_team: relevant_interviewers
- send_email: stage_specific_template
interview_scheduled:
trigger: calendar_event_created
actions:
- send_confirmation: to_candidate
- send_prep_materials: to_interviewers
- create_scorecard: in_system
AI Resume Screening
ai_screening:
model: gpt-4
prompt: |
Review this resume for the {job_title} position.
Job Requirements:
{job_requirements}
Resume:
{resume_text}
Evaluate:
1. Skills match (1-10)
2. Experience match (1-10)
3. Key strengths
4. Potential concerns
5. Recommended: Yes/No/Maybe
automation:
- if: score >= 8
action: advance_to_screening
- if: score 5-7
action: flag_for_review
- if: score < 5
action: auto_reject + send_rejection
Interview Scheduling
interview_scheduling:
workflow:
1. candidate_advances:
trigger: stage_change_to_interview
2. check_availability:
interviewers: from_hiring_plan
candidate: request_via_email
3. find_slots:
algorithm: first_available_matching
buffer: 15_minutes_between
4. send_invites:
to: [candidate, interviewers]
include: [zoom_link, calendar_invite, prep_docs]
5. reminders:
- 24h_before: all_parties
- 1h_before: all_parties
6. post_interview:
- collect_feedback: from_interviewers
- aggregate_scores
- trigger_next_stage: if_approved
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 483 lines · 19 tokens per session scan A be0b35c34651
hr-automation is a skill published in the GitHub repository claude-office-skills/skills (465 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 2,471 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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