gap-analysis

gap-analysis is a skill for Claude Code, Codex from xujingchen1996/research-app-toolkit. It costs 53 tokens per session (758 once invoked), scanned A, original, MIT.

A guide for reading research papers to identify gaps in current knowledge and develop research ideas.

In plain words
What is it for?
Use it to analyse a set of papers, extract unresolved problems, and propose feasible projects aligned with your experience. It can add public datasets and scientific background for life-science topics.
Why use it?
It helps you move beyond paper summaries by comparing methods and limitations across studies. This makes it easier to distinguish a real open question from a topic that has already been answered.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

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 gap-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/xujingchen1996/research-app-toolkit/gap-analysis.svg)](https://agentmods.dev/skills/xujingchen1996/research-app-toolkit/gap-analysis)
Your own site
<a href="https://agentmods.dev/skills/xujingchen1996/research-app-toolkit/gap-analysis"><img src="https://agentmods.dev/badge/skills/xujingchen1996/research-app-toolkit/gap-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 758 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 $0.00053 $0.00758
Opus 5 $0.00026 $0.00379
Sonnet 5 $0.00011 $0.00152
Haiku 4.5 $0.00005 $0.00076

Measured 5d ago against content hash 81c2522d6cd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gap-analysis 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 5d 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/gap-analysis/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Gap Analysis

Preconditions

  • Read ../../memory.md first.
  • If there is no CV profile yet, first suggest that the user run cv-analyze, because feasibility judgment depends on the user's ability background.

Language Rules

  • Support three output modes: zh, en, and bilingual.
  • If the user explicitly specifies the output language, prioritize the current request.
  • Otherwise read preferred_language from memory.md.
  • If it is still unclear, follow the user's current conversation language.
  • Academic proper nouns such as paper titles, method names, and conference names may remain in the original language, while the analysis and conclusions should follow the selected language.

Optional Linkage: Life Science Research

  • If the user's question clearly belongs to life sciences / biomedical research, prioritize treating life-science-research as the research evidence layer, while the current skill serves as the application-oriented synthesis layer.
  • This is especially suitable for linkage in scenarios such as:
    • needing to first sort out gene / protein / disease / pathway / expression / clinical evidence
    • needing to first find public datasets, preprints, or omics resources before discussing research gaps
    • needing to turn public evidence in biomedical directions into research ideas that are usable for applications, interviews, or proposals
  • After linkage, this skill is responsible for:
    • summarizing cross-evidence signals
    • evaluating feasibility together with memory.md
    • narrowing research gaps into 3 to 5 application-oriented ideas
  • If the user has already provided a clear paper set and only wants local gap comparison without additional background expansion, do not trigger that linkage.

Clarify the Input Source First

First confirm the paper source with the user:

  • local folder
  • single / multiple PDFs
  • Zotero collection or item

If the user wants to use Zotero and the current environment has usable Zotero tools, use them; otherwise fall back to local files.

Read the full file on GitHub · 79 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. 5d ago First seen · 79 lines · 53 tokens per session scan A 81c2522d6cd7

Subscribe to this mod's changes

gap-analysis is a skill published in the GitHub repository xujingchen1996/research-app-toolkit (113 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 758 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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