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-assessmentgit 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-assessment)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-candidate-assessment"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-candidate-assessment/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-assessment"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-candidate-assessment.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 | $0.00071 | $0.00781 |
| Opus 5 | $0.00036 | $0.00391 |
| Sonnet 5 | $0.00014 | $0.00156 |
| Haiku 4.5 | $0.00007 | $0.00078 |
Grade A, and why
hr-candidate-assessment 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.
Candidate assessment
Design and run structured assessments — skills tests, work samples, simulations, and assessment centers — that predict on-the-job performance more reliably than unstructured interviews alone.
Supported tasks
- Selecting the right assessment method for a given role and level
- Designing skills tests and work-sample exercises tied to real job tasks
- Building assessment centers combining multiple exercises for senior roles
- Creating scoring rubrics that reduce rater subjectivity
- Calibrating assessors before a hiring round to improve consistency
- Balancing assessment rigor against candidate time and drop-off risk
- Evaluating third-party assessment tools and vendors for fit and validity
- Designing assessments that reduce adverse impact and bias
- Combining assessment scores with interview data into a hiring decision
- Communicating assessment results and feedback to candidates
- Piloting a new assessment before rolling it out broadly
- Auditing existing assessments for predictive validity over time
Key prompts
Designing assessments
- "Design a work-sample exercise for [role] that reflects a real task they'd do in the first 90 days."
- "What assessment method — skills test, case study, simulation, or work sample — best fits [role] at [level]?"
- "Build an assessment center agenda for a senior [role] combining a presentation, case exercise, and structured interview."
- "Design a scoring rubric for [exercise] with clear behavioral anchors at each rating level."
Calibration and fairness
- "Write an assessor calibration guide to reduce scoring inconsistency across interviewers for [assessment]."
- "Review this assessment exercise for potential adverse impact or unnecessary barriers unrelated to job performance."
- "How do we balance assessment thoroughness against candidate drop-off from a lengthy process?"
- "How do we handle a case where two calibrated assessors give meaningfully different scores for the same candidate?"
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 · 65 lines · 71 tokens per session scan A 90104bd893bc
hr-candidate-assessment is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 781 once invoked, about $0.0004 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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