Triage paper
Skill pantheon-org/tekhne/skills/documentation/research/triage-paper
Agents Skills
npx -y skills add pantheon-org/tekhne --skill triage-paperAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Triage an academic paper into a structured reference summary for the research repo. Use when given an arxiv ID, arxiv URL, DOI, or paper PDF. Creates references/{slug}.md; adds REVIEWED.md entry and REFERENCE_INDEX.md row. Triggers: triage paper, add paper, analyse paper, review paper, literature review, survey paper, benchmark paper, deep dive paper, arxiv, DOI.
SKILL.md
7.3 KB, as published. Nobody here has run it
Triage Paper
Add a new academic paper to the research repo as a structured reference summary.
When to Use
- User provides an arxiv ID (e.g.
2310.08560), arxiv URL, or paper PDF path - User says "triage this paper", "add this paper", or "analyse this paper"
- Evaluating whether a paper belongs in the repo
When Not to Use
- The paper has already been triaged (check
REVIEWED.mdfirst) - The paper is clearly out of scope (not related to the research domain)
- User wants a full deep-dive analysis — use
triage-paperfirst, then promote toANALYSIS-*.md
Recommended MCP Servers
When available, prefer these MCPs over WebFetch for paper discovery and metadata resolution — they return structured data and avoid HTML scraping.
{
"mcpServers": {
"semantic-scholar": {
"type": "stdio",
"command": "uvx",
"args": ["semantic-scholar-fastmcp"]
},
"google-scholar": {
"type": "stdio",
"command": "uvx",
"args": ["google_scholar_mcp_server"]
}
}
}
Use semantic-scholar as the primary source (open, structured, covers most CS/ML papers). Fall back to google-scholar for papers not indexed there. Fall back to WebFetch (arxiv abstract page) only when neither MCP is configured or returns results.
Mindset
Triage is a quality gate, not a data-entry task. The goal is a scannable, honest record.
- Evidence first: quote what the paper reports; never infer or embellish claims.
- Triage-then-promote: every paper enters via
REVIEWED.md; promotion toANALYSIS-*.mdrequires a deliberate user decision — never automatic. - Scope over completeness: a well-reasoned rejection is as valuable as a full summary. If the paper is tangentially related, triage it and flag it; don't silently skip it.
Workflow
1. Resolve the source
- If given an arxiv ID or URL: use the
semantic-scholarMCP to resolve metadata (title, authors, date, abstract, DOI). If not configured, fall back toWebFetchon the arxiv abstract page. - If given a DOI: prefer
semantic-scholarorgoogle-scholarMCP over a raw HTTP fetch. - If given a PDF path, read it to extract the same fields.
- Derive a stable slug:
<firstauthor-surname>-<2-3-word-topic>(e.g.jiang-llmlingua,press-longchat).
2. Check for duplicates
- Search
REVIEWED.mdandreferences/REFERENCE_INDEX.mdfor the slug or arxiv ID. - If already present, report it and stop.
3. Classify the paper
Assign one or more tags appropriate to the research domain. Universal tags:
| Tag | Meaning |
|---|---|
survey | Overview paper covering the topic broadly |
benchmark | Evaluation dataset or framework |
empirical | Study with experimental evaluation |
theoretical | Formal or theoretical contribution |
system | System or implementation paper |
4. Fill in the reference summary
Read assets/templates/REFERENCE-paper.yaml to get the required frontmatter fields and section structure. Create references/<slug>.md with a YAML frontmatter block (all required_fields from the template) followed by the required sections.
Populate every section:
- TL;DR: 3–8 bullets capturing what the paper does and why it matters.
- What's novel: one paragraph — what does this do that adjacent work does not?
- Mechanism overview: describe the core approach and methodology. Skip sections that are not applicable (mark
N/A). - Evaluation: quote benchmark name, baselines, key metric, and result — always mark
(as reported). - Implementation details worth stealing: concrete takeaways only.
- Open questions: gaps, risks, unverified claims.
Keep language precise. Do not pad. Quote all numbers with their source.
5. Update REVIEWED.md
Add a row to the summary table at the top (reverse-chronological):
| <today's date> | <slug> | paper | pending | <one-line description> |
Add a detailed section below the table:
## <slug> — <Full paper title>
- **arxiv**: <ID>
- **Authors**: <list>
- **Date**: <YYYY-MM-DD>
- **Tags**: <tags>
- **Summary**: <2–3 sentences>
- **Disposition**: pending — awaiting user decision on promotion
6. Update REFERENCE_INDEX.md
Add a row under the most relevant category table. If no category fits, add it to the closest one and note it for the user.
7. Report and offer next step
Summarise what was created. Then ask:
This paper is now in
REVIEWED.mdas pending. Would you like to:
- Promote it to a standalone
ANALYSIS-arxiv-<id>-<slug>.mddeep dive?- Keep it in REVIEWED.md for now?
- Skip it (mark as not promoted with reasoning)?
8. If user confirms promotion
Read assets/templates/ANALYSIS-paper.yaml to get the required frontmatter fields and section structure. Create analysis/ANALYSIS-arxiv-<id>-<slug>.md with a YAML frontmatter block (all required_fields from the template) followed by the required stage sections. Update the disposition in REVIEWED.md from pending to analysis.
Quick Commands
# Check for duplicate before starting
grep -i "<arxiv-id-or-slug>" REVIEWED.md references/REFERENCE_INDEX.md
# Fetch arxiv abstract (title, authors, date)
curl -s "https://arxiv.org/abs/<id>"
# Create reference file from template
cp templates/REFERENCE-paper.md references/<slug>.md
# Validate the completed file
./scripts/validate-reference-paper.sh references/<slug>.md
./scripts/validate-analysis-paper.sh ANALYSIS-arxiv-<id>-<slug>.md
# | YYYY-MM-DD | <slug> | paper | pending | <one-line description> |
Anti-Patterns
NEVER omit YAML frontmatter
WHY: Files without frontmatter fail schema validation and break indexing tools that rely on structured metadata.
BAD Start the file with # ANALYSIS: <slug> followed by bold-text fields. → GOOD Open with --- YAML frontmatter block containing all required fields before any prose.
NEVER invent benchmark numbers
WHY: Fabricated metrics corrupt the research record.
BAD "Achieves 87% recall on LongMemEval." → GOOD "Reports 87% recall on LongMemEval (as reported, Table 3)."
NEVER skip the duplicate check
WHY: Re-triaging the same paper wastes effort and creates conflicting entries.
BAD Create new file without checking REVIEWED.md. → GOOD Run grep -i "<slug>" REVIEWED.md references/REFERENCE_INDEX.md first.
NEVER promote without user confirmation
WHY: Promotion to ANALYSIS-*.md is a quality gate, not automatic.
BAD Create ANALYSIS-*.md as part of triage. → GOOD Triage to REVIEWED.md, then ask the user.
References
- Reference artifacts: YAML template · schema · validator
- Analysis artifacts: YAML template · schema · validator