Agent skill

Research Profile

by AlphaLab-USTC in AlphaLab-USTC/ResearchClaw

Maintain and visualize the user research preference profile.

MITAuto-check passedProduct & Project Management

Install Research Profile

skills CLI
$ npx skills add AlphaLab-USTC/ResearchClaw --skill research-profile -a claude-code

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

GitHub CLI
$ gh skill install AlphaLab-USTC/ResearchClaw research-profile --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/AlphaLab-USTC/ResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-profile .claude/skills/research-profile && 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
research-profile
GitHub stars
134
Token cost
~1.8k tokens
SKILL.md length
622 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Maintain and visualize the user research preference profile.

  • Works in 4 steps: Ask the user (or parse from their… → Update the config file → Regenerate HTML profile → …
  • User says: 更新我的研究画像
  • SKILL.md covers ⚙️ Step 0 — Read the Research…, ⚠️ Error Handling and 🛠️ HTML Template Usage —…
  • Reaches ar5iv.labs.arxiv.org

What it does

Research Profile is an agent skill from AlphaLab-USTC/ResearchClaw. Maintain and visualize the user research preference profile. Use when user says: 更新我的研究画像, 我的研究画像, research profile.

Its SKILL.md is about 1.8k 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 Product & Project Management, covering User research. The repository describes itself as: 上朝式科研:AI-powered research workflow showcase. The licence is MIT.

When your agent uses it

  • User says: 更新我的研究画像
  • Research profile

Example prompts

  • “/research-profile”

Workflow steps

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

  1. Ask the user (or parse from their message) for updated
  2. Update the config file
  3. Regenerate HTML profile
  4. Confirm in chat

What it can do on your machine

Read from SKILL.md and the folder at commit 9d64c4b. 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 (its code samples are yaml and bash).

    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:

    • ar5iv.labs.arxiv.org

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Research Profile loads about 1.8k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 622 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 AlphaLab-USTC/ResearchClaw at commit 9d64c4b, republished under its MIT licence (© AlphaLab-USTC). 622 words, ~1,814 tokens.

Download SKILL.mdSave it as .claude/skills/research-profile/SKILL.md (or your agent's skills folder).
name
research-profile
description
Maintain and visualize the user research preference profile. Use when user says: 更新我的研究画像, 我的研究画像, research profile.

Research Taste Profile

⚙️ Step 0 — Read the Research Profile (Always First)

Before running any capability, load the user's research profile.

Location: ~/.openclaw/workspace/research-claw-config.md

If this file does not exist, use these defaults silently and mention at the end:

💡 想定制推荐兴趣?试试说「更新我的研究画像」

yaml
# Default profile (used when no config found)
research_direction: "Large language models, reinforcement learning, agentic AI"
seed_papers: []
keywords:
  - large language models
  - reinforcement learning
  - agentic AI / AI agents
  - retrieval-augmented generation
  - multimodal models
whitelist_authors: []
learned_preferences:
  accept: []
  reject: []

Config fields reference:

  • research_direction — free-text description of the user's research focus
  • seed_papers — list of arXiv IDs the user considers gold-standard references
  • keywords — interest topics used for Paper Scout search queries
  • whitelist_authors — researcher names to prioritize in recommendations
  • learned_preferences.accept — keywords/topics user has explicitly liked
  • learned_preferences.reject — keywords/topics user has skipped or disliked


Goal: Maintain the user's research preference profile and render it as a visual HTML page.

Triggers: 更新我的研究画像 · 我的研究画像 · research profile · auto-learn (from Paper Scout feedback)

Config file format

Location: ~/.openclaw/workspace/research-claw-config.md

yaml
# ResearchClaw Config
# Auto-maintained by the agent. You can also edit manually.

research_direction: >
  PhD researcher in large reasoning models and agentic memory systems.
  Focus on RL-based training, long-context reasoning, and retrieval-augmented agents.

seed_papers:
  - 2503.19823   # AutoRefine
  - 2412.XXXXX   # MemOCR
  - 2502.XXXXX   # ReMemR1

keywords:
  - large language models
  - reinforcement learning
  - agentic memory
  - long-context reasoning
  - retrieval-augmented generation
  - multimodal agents

whitelist_authors:
  - Yaorui Shi
  - An Zhang
  - Xiang Wang

learned_preferences:
  accept:
    - RL-based reasoning
    - verifiable rewards
    - memory augmentation
  reject:
    - pure NLP classification
    - computer vision only
    - medical imaging

topic_stats:
  - topic: "Reinforcement Learning"    count: 12   pct: 35
  - topic: "LLM Reasoning"             count: 9    pct: 26
  - topic: "Agentic AI"                count: 7    pct: 20
  - topic: "Multimodal"                count: 4    pct: 12
  - topic: "RAG"                       count: 2    pct: 7
Operations

View profile (我的研究画像):

  • Load config, regenerate HTML visual profile (see HTML step below)
  • In chat, show a compact text summary:
    🧠 你的研究画像
    方向: {research_direction (first sentence)}
    关键词: {keywords joined by · }
    种子论文: {N} 篇
    关注作者: {whitelist_authors joined by , }
    偏好: +{accept topics} / −{reject topics}

Update profile (更新我的研究画像 [any description]):

  1. Ask the user (or parse from their message) for updated:
    • Research direction description
    • New keywords to add/remove
    • New seed paper IDs to add
    • New author names to whitelist
  2. Update the config file
  3. Regenerate HTML profile
  4. Confirm in chat

Auto-learn (triggered by feedback on Paper Scout results):

  1. Parse the user's feedback signal
  2. Update learned_preferences.accept or .reject
  3. Update topic_stats by incrementing count for relevant topics
  4. Save config silently (no need for separate confirmation, just note briefly)
Generate HTML profile

Template location: {SKILL_DIR}/templates/research-profile.html

  1. Load with read
  2. Replace placeholders:
PlaceholderContent
{{USER_NAME}}User's name from config or "Researcher"
{{USER_TITLE}}User's title/affiliation if known
{{RESEARCH_DIRECTION}}Full research direction text
{{LAST_UPDATED}}Today's date
{{KEYWORD_COUNT}}Total number of keywords
{{KW_1}} … {{KW_10}}Keyword names (fill up to 10)
{{SEED_COUNT}}Number of seed papers
{{SEED_ID_1}}, {{SEED_TITLE_1}}First seed paper ID + title
{{SEED_ID_2}}, {{SEED_TITLE_2}}Second seed paper ID + title
{{SEED_ID_3}}, {{SEED_TITLE_3}}Third seed paper ID + title
{{AUTHOR_1}} … {{AUTHOR_5}}Whitelist author names
{{TOPIC_1}} … {{TOPIC_5}}Top topic names
{{CNT_1}} … {{CNT_5}}Paper counts per topic
{{PCT_1}} … {{PCT_5}}Percentage per topic
{{TOTAL_PAPERS}}Total papers across all topics
{{PREF_ACCEPT_1}}, {{PREF_ACCEPT_2}}, {{PREF_ACCEPT_3}}Accept preference strings
{{PREF_REJECT_1}}, {{PREF_REJECT_2}}Reject preference strings
  1. Save to ~/.openclaw/workspace/research-claw-output/research-profile.html
  2. Report: 🧠 研究画像已更新 → ~/.openclaw/workspace/research-claw-output/research-profile.html


Show full SKILL.md (276 more words)Show less

⚠️ Error Handling

ErrorHandling
arXiv API returns empty resultsRetry once with broader query; if still empty, note "arXiv API temporarily unavailable"
PDF tool times outFall back to abstract-only mode; note [Abstract only — PDF timeout] in the note
PDF tool returns error for a paperTry fetching https://ar5iv.labs.arxiv.org/html/{ARXIV_ID} as HTML fallback
Config file missingUse defaults silently; add a note at end: "💡 想定制?说「更新我的研究画像」"
Reading list JSON missing or malformedStart fresh with an empty list; inform user: "未找到现有列表,已新建空列表"
Template file not foundReport the expected path and ask user to check installation
No papers in last 3 daysExtend to 7 days, note it: "(近3天论文较少,已扩展至7天)"
Fewer than 3 read papers for Idea GeneratorProceed anyway, but note the limitation
User provides PDF/DOI instead of arXivTry to extract arXiv ID from DOI or search arXiv by title


🛠️ HTML Template Usage — General Guide

This section applies to Capabilities 2, 3, and 4.

Finding the skill directory

The skill directory (where templates live) is the folder containing this SKILL.md file. Typical path: ~/.openclaw/skills/research-claw/ Templates are at: ~/.openclaw/skills/research-claw/templates/

If you cannot determine the skill directory, use exec to find it:

bash
find ~/.openclaw/skills -name "paper-note.html" 2>/dev/null | head -1
Output directory

Default: ~/.openclaw/workspace/research-claw-output/

Create if needed:

bash
mkdir -p ~/.openclaw/workspace/research-claw-output

The user can override the output directory by setting output_dir in their config.

Filling placeholders
  1. Load template with read tool
  2. In your reasoning, create a complete mapping of {{PLACEHOLDER}} → value
  3. Perform a full string replacement for every placeholder
  4. If a placeholder has no content (e.g., no code URL), use a sensible default:
    • URLs: #
    • Text: N/A or an empty string
    • Counts: 0
  5. Write the result with write tool

Never leave unfilled {{PLACEHOLDER}} tags in the output HTML.


© AlphaLab-USTC, 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 skills/research-profile of AlphaLab-USTC/ResearchClaw.

Open the folder on GitHubat commit 9d64c4b

Compare with similar skills

Research Profile 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.

Research Profile compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Profile this skillAlphaLab-USTC/ResearchClaw134—~1.8kAutomated safety check: PassMIT
User Research Cookiycookiy-ai/user-research-skill1.6k—~954Automated safety check: PassMIT
Fable DomainSahir619/fable-method2.3k—~2.6kAutomated safety check: PassMIT
Produck Feedback To Buildtryproduck/produck-skills510—~1kAutomated safety check: PassApache-2.0
Customer InterviewsRefoundAI/lenny-skills1.4k—~1.7kAutomated safety check: PassMIT
Product Discovery Brief Builderopen-mercato/skills231—~3kAutomated safety check: PassMIT

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Questions about Research Profile

What does Research Profile do?

Maintain and visualize the user research preference profile. Research Profile is an agent skill from AlphaLab-USTC/ResearchClaw. Maintain and visualize the user research preference profile.

When should I use Research Profile?

Research Profile fits situations like: user says: 更新我的研究画像; research profile.

How do I install Research Profile in Claude Code?

Run `npx skills add AlphaLab-USTC/ResearchClaw --skill research-profile -a claude-code`. Or copy the skill folder (skills/research-profile in AlphaLab-USTC/ResearchClaw) into .claude/skills/research-profile in your project. Claude Code loads it when a task matches its description.

How do I install Research Profile in Codex?

Run `npx skills add AlphaLab-USTC/ResearchClaw --skill research-profile -a codex`. Or copy the skill folder (skills/research-profile in AlphaLab-USTC/ResearchClaw) into .agents/skills/research-profile in your project. Codex loads it when a task matches its description.

Can I use Research Profile 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 AlphaLab-USTC/ResearchClaw --skill research-profile -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-profile, .gemini/skills/research-profile, .github/skills/research-profile and .opencode/skills/research-profile in your project.

What does Research Profile need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Profile is instructions for the agent only.

Does Research Profile access the network?

SKILL.md names 1 domain. In commands or code: ar5iv.labs.arxiv.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Research Profile 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 Research Profile use?

Research Profile 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 Research Profile use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 Research Profile?

Skills that share tags, products or a category with Research Profile: User Research Cookiy (cookiy-ai/user-research-skill, 1.6k stars), Fable Domain (Sahir619/fable-method, 2.3k stars), Produck Feedback To Build (tryproduck/produck-skills, 510 stars) and Customer Interviews (RefoundAI/lenny-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Profile?

AlphaLab-USTC (a GitHub user) maintains it in AlphaLab-USTC/ResearchClaw, which has 134 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on April 7, 2026.

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