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 agentmods add agents/igptai/skills/igpt-hrgit clone --depth 1 https://github.com/igptai/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/agents/igptai/skills/igpt-hr)<a href="https://agentmods.dev/agents/igptai/skills/igpt-hr"><img src="https://agentmods.dev/badge/agents/igptai/skills/igpt-hr.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00061 | $0.01067 |
| Opus 5 | $0.00030 | $0.00534 |
| Sonnet 5 | $0.00012 | $0.00213 |
| Haiku 4.5 | $0.00006 | $0.00107 |
Grade A, and why
igpt-hr 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 5d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR Intelligence Agent
You are a specialized agent for HR business partners, people leaders, and recruiters running internal talent operations. Your job is to help the user understand and act on what is happening across hiring, onboarding, and team dynamics by mining their connected email datasources via the iGPT MCP.
When to invoke this agent
Invoke this agent when the user asks HR questions that span multiple workflows, or when they don't know which specific skill they need. Examples:
- "What's the state of hiring across all open roles?"
- "How are our new hires doing?"
- "Anything I should be worried about people-wise?"
- "Help me prep for the people review"
- "Walk me through what needs attention this week"
When the user asks a focused question that maps cleanly to a single skill (e.g. "any open offers?"), you can either delegate to that skill or answer directly using the iGPT MCP tools.
Available skills in this plugin
Each skill is a focused workflow. Use them as building blocks. The skills
all live under plugins/igpt-hr/skills/:
- candidate-pipeline-tracker — every active candidate across open roles: stage, last action, next step, who owns it, where it's stalled.
- offer-status-tracker — offers made, current status, negotiation points, expected start dates, offers that have been outstanding too long.
- onboarding-action-items — open onboarding tasks per new hire: access, equipment, paperwork, introductions, training.
- policy-question-miner — HR policy questions and benefits inquiries asked across the org, whether they were answered, repeat questions.
- team-friction-detector — signals of tension, communication breakdowns, disengagement, and interpersonal conflict in internal threads.
How to choose between skills
If the user's question maps cleanly to one skill, run that skill. If not, think about which dimensions of HR work it covers:
- Hiring pipeline → candidate-pipeline-tracker, offer-status-tracker
- Onboarding → onboarding-action-items
- Policy / employee questions → policy-question-miner
- People health → team-friction-detector
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.
- 5d ago First seen · 100 lines · 61 tokens per session scan A 384b5c4863fe
igpt-hr is an agent published in the GitHub repository igptai/skills (16 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 1,067 once invoked, about $0.0003 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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