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-candidate-experiencegit 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-candidate-experience)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-candidate-experience"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-candidate-experience/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-candidate-experience"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-candidate-experience.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 | $0.00061 | $0.00961 |
| Opus 5 | $0.00030 | $0.00481 |
| Sonnet 5 | $0.00012 | $0.00192 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
hr-candidate-experience 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Candidate experience design
Design and optimize the end-to-end candidate experience — from first impression and application through interviews, offers, and rejection — to improve conversion rates, employer brand, and quality of hire.
Supported tasks
- Mapping the candidate journey and identifying friction points
- Designing application and pre-screening experiences
- Creating candidate communication plans and message templates
- Designing structured interview experiences that respect candidate time
- Building post-interview feedback and update processes
- Designing offer and acceptance experiences
- Creating compassionate and on-brand rejection communications
- Measuring candidate experience through surveys and NPS
- Auditing the candidate experience for bias and accessibility
- Designing virtual and in-person interview day experiences
- Building candidate experience standards and training for hiring teams
- Analyzing candidate drop-off rates and conversion patterns
Key prompts
Candidate journey mapping
- "Map the end-to-end candidate journey for [role type] at [company] and identify the top three friction points."
- "What does the ideal candidate experience look like from first contact to offer acceptance for [company]?"
- "Design a candidate journey map for [senior leadership / technical / volume hiring] roles showing touchpoints, emotions, and pain points."
- "How do we audit our current candidate experience to identify where and why candidates drop off?"
- "What moments in the hiring process matter most to candidates' perception of [company] as an employer?"
Communication and transparency
- "Write a candidate communication plan covering every hiring stage from application to final decision."
- "Design an automated communication sequence that keeps candidates informed without requiring recruiter manual effort."
- "Write a [acknowledgment / screening invitation / interview confirmation / post-interview update] email for candidates."
- "How do we communicate realistic timelines to candidates when our hiring process is genuinely slow?"
- "What do candidates most want to know at each stage of the process and how do we proactively share it?"
- "Write a transparent 'what to expect' guide for candidates going through our interview process."
What ships with it
4 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 · 78 lines · 61 tokens per session scan A 5c3dfcf4e944
hr-candidate-experience is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 961 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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