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 agentmods add skills/kdlbs/kandev/interview-menpx skills add kdlbs/kandev --skill interview-megit clone --depth 1 https://github.com/kdlbs/kandevWrote 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/kdlbs/kandev/interview-me)<a href="https://agentmods.dev/skills/kdlbs/kandev/interview-me"><img src="https://agentmods.dev/badge/skills/kdlbs/kandev/interview-me.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00640 |
| Opus 5 | $0.00025 | $0.00320 |
| Sonnet 5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
interview-me 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 5d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 5d ago First seen · 88 lines · 50 tokens per session scan A d7c83c7cd354
interview-me is a skill published in the GitHub repository kdlbs/kandev (739 stars, last pushed yesterday), licensed AGPL-3.0. It adds 50 tokens to every session and 640 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.
Other skills, from other repositories
ai-deployment-patterns
Guides expert-level ai deployment patterns implementation: ai-ml and devops decision frameworks, production-ready patterns, and concrete templates for ai deployment patterns workflows. Use when the user asks about ai deployment patterns, ai deployment patterns configuration, or ai-ml best practices for ai projects. Do…
automation-architect
Workflow automation design using Zapier, Make, and n8n covering trigger-action architecture, multi-step automation workflows, error handling strategies, personal versus business automation patterns, ROI calculation, and a library of common automation recipes. Use when the user asks about automation architect, related…
sales-icp
Build a comprehensive Ideal Customer Profile (ICP) for any B2B business - firmographic, technographic, behavioral, pain-point, budget, and channel dimensions, plus negative ICP, 100-point scoring rubric, buyer personas, prospecting playbook, and a draft first-outreach message that inherits sales-outreach Phase 0…
sales-qualify
Qualify a sales lead using BANT (Budget/Authority/Need/Timeline) and MEDDIC (Metrics/Economic Buyer/Decision Criteria/Decision Process/Identify Pain/Champion) frameworks against publicly available signals using OSINT only - no scraping of platforms whose ToS forbid it (LinkedIn §8.2, Glassdoor, G2, Capterra…
ai-evaluation-patterns
Guides expert-level ai evaluation patterns implementation: ai-ml and testing decision frameworks, production-ready patterns, and concrete templates for ai evaluation patterns workflows. Use when the user asks about ai evaluation patterns, ai evaluation patterns configuration, or ai-ml best practices for ai projects.…
fix-issues
Auto-fix GitHub issues labeled as bugs: fetch open bug issues, analyze feasibility, fix code, and submit PRs. One issue per invocation. Use when: (1) User says "/fix-issues", (2) User asks to fix GitHub issues.