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/xujingchen1996/research-app-toolkit/interview-pptnpx skills add xujingchen1996/research-app-toolkit --skill 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/skills/xujingchen1996/research-app-toolkit/interview-ppt)<a href="https://agentmods.dev/skills/xujingchen1996/research-app-toolkit/interview-ppt"><img src="https://agentmods.dev/badge/skills/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 5.1 | $0.00059 | $0.01507 |
| Opus 5 | $0.00030 | $0.00754 |
| Sonnet 5 | $0.00012 | $0.00301 |
| Haiku 4.5 | $0.00006 | $0.00151 |
Grade A, and why
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 6d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview PPT Organization
Preconditions
- Read
../../memory.mdfirst. - If
cv_profile_analyzedis not complete, but the user has already provided enough materials in the current conversation, continue directly and do not block forcibly. - If project documents, the target professor, or the target scenario are missing, prioritize filling in the minimum necessary information.
Language Rules
- Support three output modes:
zh,en, andbilingual. - If the user explicitly requests English slide content or English speaking notes, prioritize the current request.
- If not explicitly stated, read
preferred_languagefrommemory.md. - If the output is bilingual, default to keeping slide content in the main presentation language and do not repeat the entire deck bilingually.
Optional Linkage: Life Science Research
- If the user is preparing an interview or professor-meeting PPT in a life sciences / biomedical direction and needs stronger scientific grounding,
life-science-researchcan be linked first. - This is especially suitable for pages such as:
- Research Fit
- Why This Lab / Why This Professor
- Future Directions
- Problem Significance
- The linkage result can help strengthen:
- target / gene / disease / pathway background
- current public evidence and research gaps
- dataset / omics / clinical evidence context
- the transition from existing projects to future research directions
- If the user only wants general expression optimization, layout simplification, or slide-by-slide speaking notes and already has complete slide text, do not trigger that linkage.
Determine the Deck Mode First
Determine and narrow the deck type according to the scenario:
meeting: outreach, first meeting, professor communicationformal-interview: PhD interview, scholarship interview, panel interviewproject-presentation: focused explanation of 1 to 2 projects
If the user does not specify it, default to formal-interview.
Visual Generation Mode
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.
- 6d ago First seen · 200 lines · 59 tokens per session scan A 9b6a00d6f247
interview-ppt is a skill published in the GitHub repository xujingchen1996/research-app-toolkit (113 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 1,507 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.
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