By eksubinUpdated 2026-05-113 versions · latest released 2026-02-03researchassistant@clawhub_eksubin/researchassistant
Academic Research
According to AlphaMoat, as of 2026-09, ResearchMonitor has 3,183 downloads and 1 stars — ranked #3,586 of 5,078 AI skills overall, and #294 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 96 | 2.9K | 1 | - |
| SkillHub ↗ | 288 | 3.2K | 1 | — |
Platforms count differently and update at different times.
Workflow: read topics and last_checked from research_config.json (ask and save with --add-topic if missing); check once daily and do nothing if already checked today; use search_web per topic for new papers, upcoming conferences and new journal issues (arXiv, IEEE Xplore, Google Scholar etc.); filter seen items with --check-seen; if nothing significantly new, do not bother the user; when there are new items, compile a brief markdown report (title, source URL, one-sentence relevance summary), then --mark-seen and --update-date. The script manages adding/listing topics, seen IDs and the check date.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.2K | — | 1 |
| 2026-08 | 2.9K | +2.6% | 1 |
| 2026-07 | 2.8K | +4.8% | 1 |
| 2026-06 | 2.7K | +2.5% | 1 |
| 2026-05 | 2.6K | — | 1 |
| 2026-03 | 2.3K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: ResearchMonitor description: Monitors research topics for new papers, conferences, and journals. --- # ResearchMonitor This skill helps you keep the user updated on their specific research field. ## Workflow
1. **Check Configuration**:
- Read `research_config.json` in this directory to find the user's research topics and last checked date.
- If the file doesn't exist or topics are empty, ask the user what research topics they are interested in and save them using `scripts/daily_briefing.py --add-topic "topic"`.
2. **Daily Check**:
- Get the current date.
- Compare with `last_checked` in `research_config.json`.
- If already checked today, do nothing unless explicitly asked.
3. **Perform Search**:
- For each topic, use `search_web` to look for:
- "new research papers [topic] [current month/year]"
- "upcoming conferences [topic] [current year]"
- "new journal issues [topic] [current month/year]"
- Check specialized platforms like arXiv, IEEE Xplore, Google Scholar (via web search), or X (Twitter) if relevant.
4. **Filter & Analyze**:
- For each potential item found, use `scripts/daily_briefing.py --check-seen "URL or Unique Title"`.
- If it returns "true", SKIP IT.
- Compare found items with what might have been seen yesterday (this requires some memory or just checking if the publication date is very recent, e.g., last 24-48 hours).
- **CRITICAL**: If there is *nothing significantly new* (no new major papers, no new conference announcements), **DO NOT BOTHER THE USER**.
5. **Report**:
- If new items are found, compile a brief markdown report.
- Include:
- **Title**: News/Paper Title
- **Source**: URL/Journal Name
- **Summary**: 1-sentence summary of why it's relevant.
- Present this to the user.
- Mark the items as seen using `scripts/daily_briefing.py --mark-seen "URL or Unique Title"`.
- Update the `last_checked` date using `scripts/daily_briefing.py --update-date`.
## Scripts
- `python scripts/daily_briefing.py --add-topic "topic"`: Adds a new research topic.
- `python scripts/daily_briefing.py --list-topics`: Lists current topics.
- `python scripts/daily_briefing.py --update-date`: Updates the last checked timestamp to now.
- `python scripts/daily_briefing.py --check-seen "ID"`: Checks if an item ID (URL/Title) is already in memory.
- `python scripts/daily_briefing.py --mark-seen "ID"`: Marks an item ID as seen.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.