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 seaworld008/Commonly-used-high-value-skills --skill interview-system-designergit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/interview-system-designer)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/interview-system-designer"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/interview-system-designer/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/seaworld008/commonly-used-high-value-skills/interview-system-designer"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/interview-system-designer.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 | $0.00028 | $0.04133 |
| Opus 5 | $0.00014 | $0.02067 |
| Sonnet 5 | $0.00006 | $0.00827 |
| Haiku 4.5 | $0.00003 | $0.00413 |
Grade A, and why
interview-system-designer 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 4d 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 — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview System Designer
Comprehensive interview system design, competency assessment, and hiring process optimization.
Table of Contents
- Quick Start
- Tools Overview
- Interview System Workflows
- Competency Frameworks
- Scoring & Calibration
- Reference Documentation
- Industry Standards
Quick Start
# Design a complete interview loop for a senior software engineer role
python loop_designer.py --role "Senior Software Engineer" --level senior --team platform --output loops/
# Generate a comprehensive question bank for a product manager position
python question_bank_generator.py --role "Product Manager" --level senior --competencies leadership,strategy,analytics --output questions/
# Analyze interview calibration across multiple candidates and interviewers
python hiring_calibrator.py --input interview_data.json --output calibration_report.json --analysis-type full
Tools Overview
1. Interview Loop Designer
Generates calibrated interview loops tailored to specific roles, levels, and teams.
Input: Role definition (title, level, team, competency requirements) Output: Complete interview loop with rounds, focus areas, time allocation, scorecard templates
Key Features:
- Role-specific competency mapping
- Level-appropriate question difficulty
- Interviewer skill requirements
- Time-optimized scheduling
- Standardized scorecards
What ships with it
13 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.
- assets/sample_interview_results.json 10 KB
- assets/sample_role_definitions.json 4.9 KB
- expected_outputs/product_manager_senior_questions.json 23 KB
- expected_outputs/product_manager_senior_questions.txt 6.7 KB
- expected_outputs/senior_software_engineer_senior_interview_loop.json 12 KB
- expected_outputs/senior_software_engineer_senior_interview_loop.txt 4.2 KB
- hiring_calibrator.py 61 KB runs code
- loop_designer.py 45 KB runs code
- question_bank_generator.py 51 KB runs code
- README.md 11 KB
- references/bias_mitigation_checklist.md 15 KB
- references/competency_matrix_templates.md 16 KB
- references/debrief_facilitation_guide.md 15 KB
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.
- 4d ago Changed · -54 tokens per session 2dee1bf1517f
- 8d ago First seen · 469 lines · 82 tokens per session scan A 3e656d939aa9
interview-system-designer is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 4,133 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 2026-09-03.
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