# Alphalab Ustc Researchclaw Researchclaw > Research Taste Profile - Skill: `tomevault-io/alphalab-ustc-researchclaw-researchclaw` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/alphalab-ustc-researchclaw-researchclaw` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/alphalab-ustc-researchclaw-researchclaw/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Research & Search - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/alphalab-ustc-researchclaw-researchclaw --- # 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: | Placeholder | Content | |---|---| | `{{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 | 3. Save to `~/.openclaw/workspace/research-claw-output/research-profile.html` 4. Report: `🧠 研究画像已更新 → ~/.openclaw/workspace/research-claw-output/research-profile.html` --- --- ## ⚠️ Error Handling | Error | Handling | |---|---| | arXiv API returns empty results | Retry once with broader query; if still empty, note "arXiv API temporarily unavailable" | | PDF tool times out | Fall back to abstract-only mode; note `[Abstract only — PDF timeout]` in the note | | PDF tool returns error for a paper | Try fetching `https://ar5iv.labs.arxiv.org/html/{ARXIV_ID}` as HTML fallback | | Config file missing | Use defaults silently; add a note at end: "💡 想定制？说「更新我的研究画像」" | | Reading list JSON missing or malformed | Start fresh with an empty list; inform user: "未找到现有列表，已新建空列表" | | Template file not found | Report the expected path and ask user to check installation | | No papers in last 3 days | Extend 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 Generator | Proceed anyway, but note the limitation | | User provides PDF/DOI instead of arXiv | Try 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.** --- --- > Source: [AlphaLab-USTC/ResearchClaw](https://github.com/AlphaLab-USTC/ResearchClaw) — distributed by [TomeVault](https://tomevault.io).