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 jasonjgarcia24/ai-assisted-job-search --skill likert-screening-tutorgit clone --depth 1 https://github.com/jasonjgarcia24/ai-assisted-job-searchWrote 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/jasonjgarcia24/ai-assisted-job-search/likert-screening-tutor)<a href="https://agentmods.dev/skills/jasonjgarcia24/ai-assisted-job-search/likert-screening-tutor"><img src="https://agentmods.dev/badge/skills/jasonjgarcia24/ai-assisted-job-search/likert-screening-tutor/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/jasonjgarcia24/ai-assisted-job-search/likert-screening-tutor"><img src="https://agentmods.dev/badge/skills/jasonjgarcia24/ai-assisted-job-search/likert-screening-tutor.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00142 | $0.01314 |
| Opus 5.5 | $0.00057 | $0.00526 |
| Sonnet 5.5 | $0.00028 | $0.00263 |
| Haiku 4.5 | $0.00014 | $0.00131 |
Grade A, and why
likert-screening-tutor 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 2mo 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Likert-Scale Behavioral Screening Preparation
Assessment Overview
This skill focuses on Likert-scale behavioral screenings, particularly Google's Hiring Assessment (GHA) format, which is representative of this assessment type. Key facts about the GHA:
- Duration: ~30 minutes, 75-100 questions
- Format: One question per screen, no going back
- Response scale: 5-point Likert (Strongly Disagree → Strongly Disagree) for behavioral statements; multiple-choice for situational judgment
- Scoring: Automated pattern-matching against successful past applicant benchmarks
- Consistency checks: Similar questions rephrased throughout to detect inconsistency
- Mixed items: Some questions score you; others are test items for future assessments (you won't know which)
- Result timeline: Typically 24-72 hours
- Retest cooldown: 6 months if you fail; results valid for 2 years if you pass
- Confidentiality: Candidates agree not to record, screenshot, or share actual questions
Two Question Types
Type 1: Behavioral Likert Statements
A statement about workplace behavior. Rate your agreement: Strongly Disagree / Disagree / Neutral / Agree / Strongly Agree.
Type 2: Situational Judgment Scenarios
A workplace scenario with 4-5 possible actions. Select the best (and sometimes worst) course of action.
Eight Assessment Categories
All questions map to these categories. See references/question_bank.md for the full practice question bank organized by category.
- Ethics & Integrity — Honesty, doing the right thing even when no one is watching, handling confidential information
- Collaboration & Teamwork — Working across teams, valuing diverse perspectives, supporting colleagues
- Communication — Clarity, active listening, adapting message to audience, giving/receiving feedback
- Adaptability & Resilience — Handling ambiguity, pivoting under pressure, learning from failure
- Leadership & Initiative — Stepping up without formal authority, mentoring, influencing others
- Organizational Skills & Structured Thinking — Prioritization, planning, data-driven decisions
- User/Customer Focus — Putting the end user first, thinking about impact
- Continuous Learning & Growth Mindset — Seeking feedback, improving, intellectual humility
What ships with it
2 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.
- 2mo ago First seen · 97 lines · 142 tokens per session scan A c60b5f314262
likert-screening-tutor is a skill published in the GitHub repository jasonjgarcia24/ai-assisted-job-search (11 stars, last pushed 8mo ago), licensed MIT. It adds 142 tokens to every session and 1,314 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-31.
likert-screening-tutor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| likert-screening-tutorjasonjgarcia24/ai-assisted-job-search | Skill | 11 | 8mo ago | MIT | A | 142 | Claude Code, Codex |
| hr-onboardingnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 62 | Claude Code, Codex |
| book-mirrorgarrytan/gbrain | Skill | 32k | today | MIT | A | 138 | Claude Code |
| exam-forecastanthropics/claude-for-legal | Skill | 9.9k | today | Apache-2.0 | A | 73 | Claude Code |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | yesterday | MIT | A | 81 | Claude Code |
| eli5companion-inc/feynman | Skill | 10k | 6d ago | MIT | A | 63 | Claude Code, Codex |
| deck-course-modulenexu-io/html-anything | Skill | 9.4k | today | Apache-2.0 | A | 25 | Claude Code, Codex |