Agent skill

Aminer Deep Search

by Ali-Marandi in Ali-Marandi/Web-Scraper-Framework

Activate this skill when the user wants deep, multi-round academic paper collection for a survey or literature review.

No licenceAuto-check passedResearch & Science

Install Aminer Deep Search

skills CLI
$ npx skills add Ali-Marandi/Web-Scraper-Framework --skill aminer-deep-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Ali-Marandi/Web-Scraper-Framework aminer-deep-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Ali-Marandi/Web-Scraper-Framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aminer-deep-search .claude/skills/aminer-deep-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aminer-deep-search
GitHub stars
107
Token cost
~1.6k tokens
SKILL.md length
615 words
Files
8 (incl. scripts)
Skills in repo
12
Repo updated
First seen
Licence
None found

At a glance

Activate this skill when the user wants deep, multi-round academic paper collection for a survey or literature review.

  • Works in 5 steps: Search: run 1–4 search / qa-search calls… → Filter & add: read the stdout results,… → Check: run stats to see the total and… → …
  • Multi-round academic paper collection for a survey
  • SKILL.md covers Scope, Pre-flight, Tools and Round Protocol (core), plus 1 more section
  • Runs Python scripts from its folder; calls python3; needs AMINER_API_KEY

What it does

Aminer Deep Search is an agent skill from Ali-Marandi/Web-Scraper-Framework. Activate this skill when the user wants deep, multi-round academic paper collection for a survey or literature review. The host model (the model running this skill) drives the loop itself: it expands queries, judges relevance, snowballs backward references, and decides when to stop. The bundled scripts are pure tool commands that call documented AMiner Open Platform endpoints and print JSON tool results only — no extra LLM configuration is needed. Use this skill for broad topic exploration, survey bibliography…

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts (for example `SKILL.zh.md`, `commands/aminer-deep-search.md` and `scripts/aminer_api.py`).

It sits in Research & Science, covering Citation management, Academic paper search and Literature review. The repository describes itself as: Flexible and Scalable Web Scraping Framework.

When your agent uses it

  • Multi-round academic paper collection for a survey
  • Literature review
  • Broad topic exploration
  • Survey bibliography construction

Example prompts

  • “/aminer-deep-search”

Requirements

  • Python 3
  • A credential in AMINER_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Search: run 1–4 search / qa-search calls from the pending query queue. Prefer search (cheaper); use qa-search when the query is a…
  2. Filter & add: read the stdout results, judge relevance to the topic yourself, and pipe only the kept items into paper_set.py add. Never…
  3. Check: run stats to see the total and this round's increment.
  4. Snowball: from this round's relevant additions pick ≤5 strong seeds (highly relevant, ranked high under --order n_citation, not in…
  5. Decide: choose the next move —

What it can do on your machine

Read from SKILL.md and the folder at commit f8af4cd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • open.aminer.cn

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AMINER_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aminer Deep Search loads about 1.6k tokens when it runs. Until then it costs about 187 tokens; SKILL.md has 615 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~187
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 615 words (~1,566 tokens).

“Host-model-driven survey paper collection. You (the model reading this) are the controller: run the tool scripts, read their JSON output, judge relevance yourself, and iterate until the collection target is met.”

— opening of SKILL.md by Ali-Marandi
name
aminer-deep-search
version
2.0.0
author
AMiner
contact
report@aminer.cn

Read the full SKILL.md on GitHub

Files

SKILL.md and 7 other files (scripts) in skills/aminer-deep-search of Ali-Marandi/Web-Scraper-Framework.

  • SKILL.md
  • .gitignore
  • SKILL.zh.md
  • commands/aminer-deep-search.md
  • scripts/aminer_api.py
  • scripts/paper_set.py
  • tests/test_aminer_api.py
  • tests/test_paper_set.py

Open the folder on GitHubat commit f8af4cd

Compare with similar skills

Aminer Deep Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aminer Deep Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aminer Deep Search this skillAli-Marandi/Web-Scraper-Framework107—~1.6kAutomated safety check: PassNone
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence

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Questions about Aminer Deep Search

What does Aminer Deep Search do?

Activate this skill when the user wants deep, multi-round academic paper collection for a survey or literature review. Aminer Deep Search is an agent skill from Ali-Marandi/Web-Scraper-Framework. Activate this skill when the user wants deep, multi-round academic paper collection for a survey or literature review.

When should I use Aminer Deep Search?

Aminer Deep Search fits situations like: multi-round academic paper collection for a survey; literature review; broad topic exploration; survey bibliography construction.

How do I install Aminer Deep Search in Claude Code?

Run `npx skills add Ali-Marandi/Web-Scraper-Framework --skill aminer-deep-search -a claude-code`. Or copy the skill folder (skills/aminer-deep-search in Ali-Marandi/Web-Scraper-Framework) into .claude/skills/aminer-deep-search in your project. Claude Code loads it when a task matches its description.

How do I install Aminer Deep Search in Codex?

Run `npx skills add Ali-Marandi/Web-Scraper-Framework --skill aminer-deep-search -a codex`. Or copy the skill folder (skills/aminer-deep-search in Ali-Marandi/Web-Scraper-Framework) into .agents/skills/aminer-deep-search in your project. Codex loads it when a task matches its description.

Can I use Aminer Deep Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Ali-Marandi/Web-Scraper-Framework --skill aminer-deep-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aminer-deep-search, .gemini/skills/aminer-deep-search, .github/skills/aminer-deep-search and .opencode/skills/aminer-deep-search in your project.

What does Aminer Deep Search need to run?

Going by SKILL.md and its folder, Aminer Deep Search needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named AMINER_API_KEY. Our summary lists: Python 3; A credential in AMINER_API_KEY.

Does Aminer Deep Search access the network?

SKILL.md names 1 domain. As links in the text: open.aminer.cn. This is read from the text; nothing was executed.

Is Aminer Deep Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Aminer Deep Search use?

No licence was found for Aminer Deep Search or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Aminer Deep Search use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Aminer Deep Search?

Skills that share tags, products or a category with Aminer Deep Search: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aminer Deep Search?

Ali-Marandi (a GitHub user) maintains it in Ali-Marandi/Web-Scraper-Framework, which has 107 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on August 31, 2026.

Source: Ali-Marandi/Web-Scraper-Framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.