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-pptgit clone --depth 1 https://github.com/xujingchen1996/research-app-toolkitWrote 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/commands/xujingchen1996/research-app-toolkit/interview-ppt)<a href="https://agentmods.dev/commands/xujingchen1996/research-app-toolkit/interview-ppt"><img src="https://agentmods.dev/badge/commands/xujingchen1996/research-app-toolkit/interview-ppt.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 | $0.00020 | $0.00205 |
| Opus 5 | $0.00010 | $0.00102 |
| Sonnet 5 | $0.00004 | $0.00041 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
ra:interview-ppt 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.
What it actually says
Use the interview-ppt skill to organize my application materials into a concise professor-meeting or PhD interview slide deck.
If $ARGUMENTS is provided, use it as the initial deck context and infer the mode, professor, university, and visual mode where possible.
By default, produce:
- a compact deck outline
- slide-ready English content
- short speaking notes when needed
If the arguments include visuals:on, visuals:off, with-visuals, or no-visuals, treat that as the explicit visual-generation switch.
If the user is revising an existing deck, focus on the specific slide or section they mention instead of regenerating the full deck.
$ARGUMENTS
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 First seen · 22 lines · 20 tokens per session scan A 61fc6574793e
ra:interview-ppt is a command published in the GitHub repository xujingchen1996/research-app-toolkit (113 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 205 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
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start-3-1-2
Module 3.1.2: Understanding the Basics - Learn about parameters, aspect ratios, resolution, and iteration.
create-video
Create a multi-scene educational video with proper structure and concatenation.
presentation
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