Agent skill

Scholar Monitoring

by jerry609 in jerry609/PaperBot

This skill should be used when the user asks to "monitor a scholar", "check researcher activity", "track publications from author X", "follow author Y", "scholar update for Z", "what has researcher…

MITAuto-check passedResearch & Science

Install Scholar Monitoring

skills CLI
$ npx skills add jerry609/PaperBot --skill scholar-monitoring -a claude-code

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

GitHub CLI
$ gh skill install jerry609/PaperBot scholar-monitoring --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/jerry609/PaperBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scholar-monitoring .claude/skills/scholar-monitoring && 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
scholar-monitoring
GitHub stars
108
Token cost
~881 tokens
SKILL.md length
414 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user asks to "monitor a scholar", "check researcher activity", "track publications from author X", "follow author Y", "scholar update for Z", "what has researcher…

  • Works in 3 steps: Check scholar activity → Analyze paper trends (optional) → Save monitoring note
  • Asks to monitor a scholar
  • SKILL.md covers Workflow, Note on Scholar Lookup and Degraded Mode
  • Needs OPENAI_API_KEY and ANTHROPIC_API_KEY

What it does

Scholar Monitoring is an agent skill from jerry609/PaperBot. This skill should be used when the user asks to "monitor a scholar", "check researcher activity", "track publications from author X", "follow author Y", "scholar update for Z", "what has researcher X published recently", or wants to retrieve and synthesize a researcher's recent publication activity using PaperBot MCP tools.

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. It works with Semantic Scholar. The repository describes itself as: Academic Personal AI Infrastructure. The licence is MIT.

When your agent uses it

  • Asks to monitor a scholar
  • Check researcher activity
  • Track publications from author X
  • Follow author Y

Example prompts

  • “monitor a scholar”
  • “check researcher activity”
  • “track publications from author X”
  • “/scholar-monitoring”

Requirements

  • A credential in OPENAI_API_KEY
  • A credential in ANTHROPIC_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Check scholar activity
  2. Analyze paper trends (optional)
  3. Save monitoring note

What it can do on your machine

Read from SKILL.md and the folder at commit 9030c5e. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

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

    • OPENAI_API_KEY
    • ANTHROPIC_API_KEY

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

Context cost

Scholar Monitoring loads about 881 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 414 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~881

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 jerry609/PaperBot at commit 9030c5e, republished under its MIT licence (© jerry609). 414 words, ~881 tokens.

Download SKILL.mdSave it as .claude/skills/scholar-monitoring/SKILL.md (or your agent's skills folder).
name
scholar-monitoring
description
This skill should be used when the user asks to "monitor a scholar", "check researcher activity", "track publications from author X", "follow author Y", "scholar update for Z", "what has researcher X published recently", or wants to retrieve and synthesize a researcher's recent publication activity using PaperBot MCP tools.
tools
check_scholar, analyze_trends, save_to_memory

Scholar Monitoring Workflow

Monitor a researcher's recent publication activity: fetch their profile and papers, optionally analyze output trends, and save a monitoring note.

Workflow

Step 1: Check scholar activity

Call check_scholar with the researcher's name.

  • Parameters: scholar_name (required; use the researcher's full name as commonly published), max_papers (default 10; increase to 20–30 for career-wide coverage)
  • Returns: dict with:
    • scholar: profile dict with name, hIndex, citationCount, affiliations, paperCount, url
    • recent_papers: list of paper dicts (title, abstract, year, venue, citation count)
    • candidates: list of top-3 candidate matches (inspect if the top result is wrong)
  • If degraded=True, the scholar was not found on Semantic Scholar or the API is unavailable

If recent_papers is non-empty and the user wants thematic analysis, call analyze_trends.

  • Parameters: topic (use the scholar's name or primary research area as the topic), papers (the recent_papers list from Step 1)
  • Returns: dict with trend_analysis (natural language narrative of the scholar's research focus and evolution)
  • Skip this step if the user only needs raw paper metadata (no LLM API key required for Step 1 alone)
Step 3: Save monitoring note

Call save_to_memory with a summary of the scholar's recent activity.

  • Parameters: content (monitoring summary — include scholar name, hIndex, recent paper titles, and trend analysis if available), kind="note", user_id (default "default"), scope_type="global", confidence (0.0–1.0; suggest 0.9 for factual publication data)
  • Returns: dict with created or skipped status
Show full SKILL.md (184 more words)Show less

Note on Scholar Lookup

check_scholar searches Semantic Scholar by name. Common issues:

  • Name diacritics: Names with accents (e.g., "Müller", "Bengio") may need the ASCII variant ("Muller", "Yoshua Bengio") if exact-match fails
  • New researchers: Very new researchers may have limited or no Semantic Scholar records — check paperCount in the returned profile
  • Name ambiguity: The candidates field in the response lists the top 3 matches; inspect these if the top result appears to be the wrong person (wrong affiliation, wrong research area)
  • Name format: Use "First Last" format; middle names are generally not needed but can help disambiguate common names

Degraded Mode

analyze_trends (Step 2) requires a configured LLM API key. check_scholar (Step 1) and save_to_memory (Step 3) do not require LLM.

When analyze_trends returns degraded=True:

  • Set OPENAI_API_KEY or ANTHROPIC_API_KEY and restart the MCP server
  • Skip Step 2 and proceed directly to Step 3 with a summary based on raw paper metadata

When check_scholar itself returns degraded=True:

  • This indicates the scholar was not found or the Semantic Scholar API is unavailable
  • Try an alternate name spelling or abbreviation
  • Check candidates in the response for close matches

© jerry609, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/scholar-monitoring of jerry609/PaperBot.

Open the folder on GitHubat commit 9030c5e

Compare with similar skills

Scholar Monitoring 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.

Scholar Monitoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scholar Monitoring this skilljerry609/PaperBot108—~881Automated safety check: PassMIT
Nanoresearch IdeationOpenRaiser/NanoResearch1.3k—~256Automated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT

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  • Trend Analysis

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Questions about Scholar Monitoring

What does Scholar Monitoring do?

This skill should be used when the user asks to "monitor a scholar", "check researcher activity", "track publications from author X", "follow author Y", "scholar update for Z", "what has researcher…. Scholar Monitoring is an agent skill from jerry609/PaperBot. This skill should be used when the user asks to "monitor a scholar", "check researcher activity", "track publications from author X", "follow author Y", "scholar update for Z", "what has researcher X published recently", or wants to retrieve and synthesize a researcher's recent publication activity using PaperBot MCP tools.

When should I use Scholar Monitoring?

Scholar Monitoring fits situations like: asks to monitor a scholar; check researcher activity; track publications from author X; follow author Y.

How do I install Scholar Monitoring in Claude Code?

Run `npx skills add jerry609/PaperBot --skill scholar-monitoring -a claude-code`. Or copy the skill folder (.claude/skills/scholar-monitoring in jerry609/PaperBot) into .claude/skills/scholar-monitoring in your project. Claude Code loads it when a task matches its description.

How do I install Scholar Monitoring in Codex?

Run `npx skills add jerry609/PaperBot --skill scholar-monitoring -a codex`. Or copy the skill folder (.claude/skills/scholar-monitoring in jerry609/PaperBot) into .agents/skills/scholar-monitoring in your project. Codex loads it when a task matches its description.

Can I use Scholar Monitoring 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 jerry609/PaperBot --skill scholar-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scholar-monitoring, .gemini/skills/scholar-monitoring, .github/skills/scholar-monitoring and .opencode/skills/scholar-monitoring in your project.

What does Scholar Monitoring need to run?

Going by SKILL.md and its folder, Scholar Monitoring needs credentials named OPENAI_API_KEY and ANTHROPIC_API_KEY. Our summary lists: A credential in OPENAI_API_KEY; A credential in ANTHROPIC_API_KEY.

Does Scholar Monitoring access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scholar Monitoring 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 Scholar Monitoring use?

Scholar Monitoring 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 Scholar Monitoring use?

About 881 tokens (SKILL.md is roughly 3.5k 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 Scholar Monitoring?

Skills that share tags, products or a category with Scholar Monitoring: Nanoresearch Ideation (OpenRaiser/NanoResearch, 1.3k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k 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 Scholar Monitoring?

jerry609 (a GitHub user) maintains it in jerry609/PaperBot, which has 108 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on June 16, 2026.

Source: jerry609/PaperBot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.