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 tuanductran/hr-skills --skill hr-chatbot-designgit clone --depth 1 https://github.com/tuanductran/hr-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/tuanductran/hr-skills/hr-chatbot-design)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-chatbot-design"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-chatbot-design/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/tuanductran/hr-skills/hr-chatbot-design"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-chatbot-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00069 | $0.00835 |
| Opus 5 | $0.00034 | $0.00417 |
| Sonnet 5 | $0.00014 | $0.00167 |
| Haiku 4.5 | $0.00007 | $0.00084 |
Grade A, and why
hr-chatbot-design 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 12d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HR chatbot design
Design HR service-delivery chatbots and conversational tools for platforms like Slack and Microsoft Teams — scoping what the bot should handle, designing conversation flows, and setting escalation paths to a human.
Supported tasks
- Scoping what an HR chatbot should and shouldn't handle
- Designing conversation flows for common HR self-service requests
- Writing bot response scripts for FAQs (policy questions, benefits, time off)
- Designing escalation paths from bot to a human HR rep
- Planning intent recognition categories for an HR chatbot
- Integrating chatbot responses with HRIS or knowledge-base data sources
- Designing onboarding flows delivered through a chatbot
- Handling sensitive topics (harassment, mental health, legal questions) with appropriate bot guardrails
- Measuring chatbot deflection rate and resolution quality
- Piloting a chatbot with a limited use case before broader rollout
- Localizing chatbot conversation flows for multi-language workforces
- Iterating on chatbot scripts based on real usage and unresolved queries
Key prompts
Scoping the bot
- "Scope what an HR chatbot for [Slack/Teams] should handle in its first release — which request types are good fits and which aren't."
- "What HR questions are safe for full bot automation vs. requiring a human in the loop?"
- "Design intent categories for an HR chatbot covering the most common employee self-service requests."
- "What tone and personality should the HR chatbot have to feel trustworthy without pretending to be human?"
Designing conversation flows
- "Design a conversation flow for an employee asking about [time-off balance / benefits enrollment / policy question] through the bot."
- "Write bot response scripts for the top 10 most common HR FAQ questions at [company]."
- "Design an onboarding flow delivered through the chatbot for a new hire's first week."
- "Write a multi-turn conversation flow that handles follow-up questions without losing context from earlier in the chat."
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 65 lines · 69 tokens per session scan A ef7de2d26ab6
hr-chatbot-design is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 69 tokens to every session and 835 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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