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Agent skill

Sciatlas Researcher Review

by zjunlp in zjunlp/SciAtlas

Use only SciAtlas search-papers to take a novice user from zero setup to a final evidence-grounded researcher profile from retrieved papers, including setup, registration guidance, configuration…

MITAuto-check passedKnowledge Management

Install Sciatlas Researcher Review

skills CLI
$ npx skills add zjunlp/SciAtlas --skill sciatlas-researcher-review -a claude-code

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

GitHub CLI
$ gh skill install zjunlp/SciAtlas sciatlas-researcher-review --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/zjunlp/SciAtlas.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-skill/sciatlas-researcher-review .claude/skills/sciatlas-researcher-review && 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
sciatlas-researcher-review
GitHub stars
160
Token cost
~1.1k tokens
SKILL.md length
399 words
Files
2
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Use only SciAtlas search-papers to take a novice user from zero setup to a final evidence-grounded researcher profile from retrieved papers, including setup, registration guidance, configuration…

  • Works in 4 steps: Check whether the sciatlas executable… → If SCIATLAS_API_KEY is missing, guide… → Configure → …
  • The user asks for a researchers background
  • SKILL.md covers Operating Contract, Zero-Start Bootstrap, Search Plan and Reading Artifacts, plus 2 more sections
  • Calls python; reaches sciatlas.openkg.cn; needs SCIATLAS_API_KEY

What it does

Sciatlas Researcher Review is an agent skill from zjunlp/SciAtlas. Use only SciAtlas search-papers to take a novice user from zero setup to a final evidence-grounded researcher profile from retrieved papers, including setup, registration guidance, configuration, retrieval, artifact reading, and synthesis. Trigger when the user asks for a researcher's background, representative works, topic trajectory, or author-centered literature overview.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Knowledge Management. The repository describes itself as: A Large-Scale Knowledge Graph for Automated Scientific Research. The licence is MIT.

When your agent uses it

  • The user asks for a researchers background
  • Representative works
  • Topic trajectory
  • Author-centered literature overview

Example prompts

  • “/sciatlas-researcher-review”

Requirements

  • Python 3
  • A credential in SCIATLAS_API_KEY

Workflow steps

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

  1. Check whether the sciatlas executable exists without invoking a SciAtlas command: use Get-Command sciatlas -ErrorAction SilentlyContinue…
  2. If SCIATLAS_API_KEY is missing, guide the user through http://sciatlas.openkg.cn/register; ask for email/code/token only when needed.
  3. Configure
  4. Verify with search-papers --top-k 1 only if needed.

What it can do on your machine

Read from SKILL.md and the folder at commit e8873a9. 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

    Shell commands in SKILL.md call:

    • python

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • sciatlas.openkg.cn

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

  • Credentials

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

    • SCIATLAS_API_KEY

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

Context cost

Sciatlas Researcher Review loads about 1.1k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 399 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from zjunlp/SciAtlas at commit e8873a9, republished under its MIT licence (© zjunlp). 399 words, ~1,082 tokens.

Download SKILL.mdSave it as .claude/skills/sciatlas-researcher-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
sciatlas-researcher-review
description
Use only SciAtlas search-papers to take a novice user from zero setup to a final evidence-grounded researcher profile from retrieved papers, including setup, registration guidance, configuration, retrieval, artifact reading, and synthesis. Trigger when the user asks for a researcher's background, representative works, topic trajectory, or author-centered literature overview.

SciAtlas Researcher Review

Use this skill to create a researcher profile from search-papers evidence only. Because this skill does not call author-specific SciAtlas commands, treat the result as a literature-grounded profile, not an authoritative CV.

Operating Contract

  • Do not call any SciAtlas downstream, author, support, or report command. The only SciAtlas retrieval command allowed is search-papers.
  • Use only sciatlas search-papers for retrieval.
  • Own the end-to-end novice flow: install or locate the CLI, guide registration, configure environment variables, run retrieval, inspect artifacts, and write the researcher profile.
  • Ask the user only for email, verification code, token, or a clarification when the researcher name is ambiguous.
  • Do not ask the user to run shell commands when tool access is available.
  • Do not expose the full token.

Zero-Start Bootstrap

  1. Check whether the sciatlas executable exists without invoking a SciAtlas command: use Get-Command sciatlas -ErrorAction SilentlyContinue on Windows PowerShell or command -v sciatlas on macOS/Linux. Install if missing with python -m pip install -e ./sciatlas or python -m pip install "git+https://github.com/zjunlp/SciAtlas.git#subdirectory=sciatlas".
  2. If SCIATLAS_API_KEY is missing, guide the user through http://sciatlas.openkg.cn/register; ask for email/code/token only when needed.
  3. Configure:
powershell
$env:SCIATLAS_API_BASE_URL = "http://sciatlas.openkg.cn"
$env:SCIATLAS_API_KEY = "<token>"
setx SCIATLAS_API_BASE_URL "http://sciatlas.openkg.cn"
setx SCIATLAS_API_KEY "<token>"
bash
export SCIATLAS_API_BASE_URL="http://sciatlas.openkg.cn"
export SCIATLAS_API_KEY="<token>"
  1. Verify with search-papers --top-k 1 only if needed.

Search Plan

Run only search-papers. Use the researcher name as part of the query and, when the user provides a field, include it as a keyword:

bash
sciatlas search-papers --retrieval-mode hybrid --query "<researcher name> representative papers <field>" --keyword "high:<researcher name>" --keyword "middle:<field or known topic>" --top-k 10 --top-keywords 0 --max-titles 0 --max-refs 0 --bias-authorship high --bias-citation high --ranking-profile impact --report-max-items 10

If the name is common, ask for one disambiguator: affiliation, field, or one known paper title. Then search:

bash
sciatlas search-papers --retrieval-mode hybrid --query "<researcher name> <affiliation or known title>" --title "middle:<known paper title>" --top-k 10 --top-keywords 0 --max-titles 0 --max-refs 0 --bias-authorship high --ranking-profile precision --report-max-items 10
Show full SKILL.md (160 more words)Show less

Reading Artifacts

Read report.md and response.json. Build a profile ledger:

  • Paper title.
  • Year.
  • Whether the researcher appears in authors if available.
  • Topic.
  • Contribution.
  • Evidence confidence: confirmed author match, likely related, or weak match.

Discard or clearly mark papers where the author match is uncertain.

Profile Construction Method

  1. Start with a confidence note: this profile is based on search-papers results, not a complete bibliography.
  2. Identify representative works with confirmed or likely author evidence.
  3. Group papers by topic or period.
  4. Describe trajectory: early focus -> later focus -> current direction, only when years support it.
  5. Extract recurring methods, datasets, application domains, or collaborators only when visible in metadata.
  6. Avoid claiming awards, positions, total citation counts, or full publication counts unless present in retrieved evidence.
  7. Suggest follow-up searches for missing periods or ambiguous identity.

Deliverable

Return:

  • Search command(s), with token omitted.
  • Confidence note.
  • Representative works table.
  • Topic trajectory.
  • Research style / recurring themes.
  • Missing evidence and next search-papers queries.

© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in agent-skill/sciatlas-researcher-review of zjunlp/SciAtlas.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e8873a9

Compare with similar skills

Sciatlas Researcher Review 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.

Sciatlas Researcher Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sciatlas Researcher Review this skillzjunlp/SciAtlas160—~1.1kAutomated safety check: PassMIT
Ontology1mancompany/OneManCompany4422 repos~1.5kAutomated safety check: PassApache-2.0
Open Knowledge Write Skillinkeep/open-knowledge4.5k—~3.7kAutomated safety check: PassGPL-3.0
Auditpricklywiggles/niamos192—~1.4kAutomated safety check: PassNone
Joplinalondmnt/joplin-mcp173—~897Automated safety check: PassMIT
Guideline Writingalfadur7/llm-wiki-newsroom171—~2.4kAutomated safety check: PassMIT

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Categories

Questions about Sciatlas Researcher Review

What does Sciatlas Researcher Review do?

Use only SciAtlas search-papers to take a novice user from zero setup to a final evidence-grounded researcher profile from retrieved papers, including setup, registration guidance, configuration…. Sciatlas Researcher Review is an agent skill from zjunlp/SciAtlas. Use only SciAtlas search-papers to take a novice user from zero setup to a final evidence-grounded researcher profile from retrieved papers, including setup, registration guidance, configuration, retrieval, artifact reading, and synthesis.

When should I use Sciatlas Researcher Review?

Sciatlas Researcher Review fits situations like: the user asks for a researchers background; representative works; topic trajectory; author-centered literature overview.

How do I install Sciatlas Researcher Review in Claude Code?

Run `npx skills add zjunlp/SciAtlas --skill sciatlas-researcher-review -a claude-code`. Or copy the skill folder (agent-skill/sciatlas-researcher-review in zjunlp/SciAtlas) into .claude/skills/sciatlas-researcher-review in your project. Claude Code loads it when a task matches its description.

How do I install Sciatlas Researcher Review in Codex?

Run `npx skills add zjunlp/SciAtlas --skill sciatlas-researcher-review -a codex`. Or copy the skill folder (agent-skill/sciatlas-researcher-review in zjunlp/SciAtlas) into .agents/skills/sciatlas-researcher-review in your project. Codex loads it when a task matches its description.

Can I use Sciatlas Researcher Review 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 zjunlp/SciAtlas --skill sciatlas-researcher-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sciatlas-researcher-review, .gemini/skills/sciatlas-researcher-review, .github/skills/sciatlas-researcher-review and .opencode/skills/sciatlas-researcher-review in your project.

What does Sciatlas Researcher Review need to run?

Going by SKILL.md and its folder, Sciatlas Researcher Review needs the command-line tools its instructions call (python) and credentials named SCIATLAS_API_KEY. Our summary lists: Python 3; A credential in SCIATLAS_API_KEY.

Does Sciatlas Researcher Review access the network?

SKILL.md names 1 domain. In commands or code: sciatlas.openkg.cn; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Sciatlas Researcher Review 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. Review the folder before installing.

What licence does Sciatlas Researcher Review use?

Sciatlas Researcher Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sciatlas Researcher Review use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Sciatlas Researcher Review?

Skills that share tags, products or a category with Sciatlas Researcher Review: Ontology (1mancompany/OneManCompany, 442 stars), Open Knowledge Write Skill (inkeep/open-knowledge, 4.5k stars), Audit (pricklywiggles/niamos, 192 stars) and Joplin (alondmnt/joplin-mcp, 173 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sciatlas Researcher Review?

zjunlp (a GitHub organization) maintains it in zjunlp/SciAtlas, which has 160 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 30, 2026.

Source: zjunlp/SciAtlas on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.