Waku Agent is a local-first personal AI assistant whose readable code implements the agent loop, memory, and evaluation system. It is for people who want an assistant they can run and understand on their own laptop, with memory stored in SQLite and built-in testing. The catalogue add-ons support its agent workflow.
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 ShenSeanChen/waku-agent --skill interview-prepgit clone --depth 1 https://github.com/ShenSeanChen/waku-agentWrote 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/shenseanchen/waku-agent/interview-prep)<a href="https://agentmods.dev/skills/shenseanchen/waku-agent/interview-prep"><img src="https://agentmods.dev/badge/skills/shenseanchen/waku-agent/interview-prep/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/shenseanchen/waku-agent/interview-prep"><img src="https://agentmods.dev/badge/skills/shenseanchen/waku-agent/interview-prep.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 | $0.00026 | $0.00334 |
| Opus 5 | $0.00013 | $0.00167 |
| Sonnet 5 | $0.00005 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
interview-prep 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 today.
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.
What it actually says
How to prepare
- Ask for the company, role, interview date, and available preparation time if they are not provided.
- Identify the key technical and behavioral areas relevant to the role.
- Prioritize difficult and high-value topics based on the role and time available.
- Break preparation into manageable sessions.
- Include technical questions, behavioral questions, and practice where appropriate.
- If the user asks for a mock interview, ask one question at a time and wait for their answer before continuing.
- End with a concise last-minute checklist.
Interview prep format
- Role — company and position.
- Time available — days remaining and preparation hours.
- Priority areas — what to prepare first.
- Preparation plan — clear tasks for each session.
- Practice questions — technical and behavioral questions.
- Final checklist — what to review before the interview.
Keep the preparation practical, focused, and realistic.
Edge cases
| Situation | Do |
|---|---|
| Interview date is unclear | Ask when the interview is |
| Role is unclear | Ask what position they are interviewing for |
| Very little preparation time | Create a focused crash plan |
| User has not started preparing | Start with fundamentals and prioritize the highest-value topics |
| User asks for a mock interview | Ask one interview question at a time |
| User is applying for multiple roles | Focus on the role specified by the user; ask if unclear |
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.
- today First seen · 37 lines · 0 tokens per session scan A 636316c21d99
interview-prep is a skill published in the GitHub repository ShenSeanChen/waku-agent (1,728 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 334 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 2026-09-12.
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