interview-ppt

interview-ppt is a skill for Claude Code from xujingchen1996/research-app-toolkit. It costs 59 tokens per session (1,507 once invoked), scanned A, original, MIT.

A guide for preparing a presentation and speaking notes for a PhD interview or meeting with a professor.

In plain words
What is it for?
Use it to create slide-by-slide content, notes, research-fit explanations, and supporting visuals for interviews or research presentations.
Why use it?
It organises your academic background, projects, research interests, and supervisor fit into a presentation that is easier to deliver and adapt to the situation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the research-app-toolkit plugin — 9 skills, 9 commands, 1 agent, 1 hook shipped together

Install

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.

agentmods
npx agentmods add skills/xujingchen1996/research-app-toolkit/interview-ppt
Any agent
npx skills add xujingchen1996/research-app-toolkit --skill interview-ppt
Clone the repo
git clone --depth 1 https://github.com/xujingchen1996/research-app-toolkit

Made for: Claude Code.

Or install research-app-toolkit, the plugin that ships this one along with the rest of its 9 skills, 9 commands, 1 agent, 1 hook.

Wrote 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.

agentmods badge for interview-ppt

README.md
[![agentmods](https://agentmods.dev/badge/skills/xujingchen1996/research-app-toolkit/interview-ppt.svg)](https://agentmods.dev/skills/xujingchen1996/research-app-toolkit/interview-ppt)
Your own site
<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>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,507 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 6d ago against content hash 9b6a00d6f247, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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.

codex/skills/interview-ppt/SKILL.md · 200 lines

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.md first.
  • If cv_profile_analyzed is 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, and bilingual.
  • If the user explicitly requests English slide content or English speaking notes, prioritize the current request.
  • If not explicitly stated, read preferred_language from memory.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-research can 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 communication
  • formal-interview: PhD interview, scholarship interview, panel interview
  • project-presentation: focused explanation of 1 to 2 projects

If the user does not specify it, default to formal-interview.

Visual Generation Mode

Read the full file on GitHub · 200 lines

Changes

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.

  1. 6d ago First seen · 200 lines · 59 tokens per session scan A 9b6a00d6f247

Subscribe to this mod's changes

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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