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 commands/xujingchen1996/research-app-toolkit/interview-prepgit clone --depth 1 https://github.com/xujingchen1996/research-app-toolkitWhat 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 | $0.00016 | $0.00114 |
| Opus 5 | $0.00008 | $0.00057 |
| Sonnet 5 | $0.00003 | $0.00023 |
| Haiku 4.5 | $0.00002 | $0.00011 |
Grade A, and why
ra: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 3d 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.
What it actually says
Use the interview-prep skill to prepare for your research program interview with mock questions and feedback.
Arguments (optional):
professor-name— name of the interviewing professoruniversity— university name
Example: /ra:interview-prep John Smith MIT
If no arguments are provided, you will be asked for the professor name and university.
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.
- 3d ago First seen · 16 lines · 16 tokens per session scan A a84db7e37e17
ra:interview-prep is a command published in the GitHub repository xujingchen1996/research-app-toolkit (113 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 114 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 2026-08-30.
Other commands, from other repositories
mock
A complete simulated interview (4-6 questions in sequence) with holistic feedback on the full arc — not just individual answers.
review
View your learning progress — quiz scores, weak areas, and what to study next.
start-1-7
Start Lesson 1.7 - Project Memory.
edit-textbook-chapter
Edit a textbook-style chapter, following evidence-based writing instructions.
explain
Explain code, concepts, or system behavior with adjustable depth levels.
onboard
This command acts as an expert technical mentor to help you rapidly understand a new codebase, generating a comprehensive "Survival Guide" for the project.