enrich
Enrich paper metadata by backfilling missing fields from CrossRef and detecting records that need cleanup.
Skill by UynajGI
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/uynajgi-enrich
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/enrich
What's inside
- Skill name
enrich- Description
- Enrich paper metadata by backfilling missing fields from CrossRef and detecting records that need cleanup. Use when the user wants to fix incomplete metadata, check paper record quality, find scrub-worthy records, or fill missing DOIs, years, authors, or journal names. Trigger on "enrich metadata", "fix metadata", "complete paper info", "find dirty records", "clean up metadata".
- License
- MIT
- Instructions
- 35 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Metadata Enrichment Backfill missing metadata from CrossRef and detect scrub-worthy records. ## Quick Start ```bash drbrain enrich <paper_id> # check and backfill one paper drbrain enrich <paper_id> --dry-run # check only, no backfill drbrain enrich --all # check all papers drbrain enrich --all --dry-run # audit all papers ``` ## What it does - **Completeness check**: title, year, authors, journal - **Scrub detection**: empty titles, suspicious filenames, far-future years, missing authors - **CrossRef backfill**: if DOI is present and fields are missing, fetches from CrossRef API ## CLI Reference | Command | What it does | |---------|--------------| | `drbrain enrich <id>` | Check and backfill one paper | | `drbrain enrich <id> --dry-run` | Check without backfilling | | `drbrain enrich --all` | Check all papers | | `drbrain enrich --all --dry-run` | Audit all papers | | `drbrain enrich <id> --json` | JSON output | ## See also - `drbrain repair` — comprehensive metadata repair via OpenAlex - `drbrain audit` — 15 quality rules for the knowledge graph
From UynajGI/drbrain, MIT.
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Prepare, inspect and verify the searchable index.
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Ingest web URLs and online PDFs by extracting rendered content via an external qt-web-extractor service.
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Track and analyze citation relationships between papers.
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Inspect Office documents (DOCX, PPTX, XLSX) and output structured text summaries.
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Export papers to BibTeX, RIS, or Markdown format.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 18, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/UynajGI/drbrain
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from UynajGI
- 0.529score
neat-freak
UynajGI
End-of-session knowledge cleanup with OCD-level rigor — reconciles project docs (CLAUDE.md, README.md, docs/) and agent memory against the code so nothing rots.
SkillBFreshness: BClaude Code +9 - 0.524score
graph
UynajGI
Direct knowledge graph operations — traverse neighbors, find shortest paths, and analyze shared concepts across papers.
SkillBFreshness: BClaude Code +9 - 0.524score
kg-build
UynajGI
Build the knowledge graph from ingested papers — 5-stage LLM extraction, TransE graph embeddings, and rule-based closure inference.
SkillBFreshness: BClaude Code +9 - 0.524score
fsearch
UynajGI
Search local evidence and external sources (arXiv) in one command, with ingested annotation.
SkillBFreshness: BClaude Code +9 - 0.524score
audit
UynajGI
Scan the entire library for data quality issues across 15 severity-graded rules.
SkillBFreshness: BClaude Code +9 - 0.524score
index
UynajGI
Prepare, inspect and verify the searchable index.
SkillBFreshness: BClaude Code +9
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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enrich skill. Agent Mart. https://agentmart.dev/skills/uynajgi-enrich (last updated 2026-10-24)