audit
Scan the entire library for data quality issues across 15 severity-graded rules.
Skill by UynajGI
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.
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About
Use cases: documents, data, security, research
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/audit
What's inside
- Skill name
audit- Description
- Scan the entire library for data quality issues across 15 severity-graded rules. Use this skill whenever the user asks to "check my library quality", "audit my papers", "find data issues", "verify data integrity", "are there problems with my papers?", "diagnose missing metadata", "why are some papers incomplete?", or wants a health report on their knowledge graph. Also use when the user notices search results are incomplete, analysis output seems noisy, or before running large-scale analysis (seed, closure) to ensure the underlying data is clean. Trigger proactively when the user expresses concern about paper quality, asks why certain papers lack concepts or edges, or wants to clean up the library.
- License
- MIT
- Instructions
- 76 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Data Quality Audit
Run a 15-rule scan across all papers, organized into three severity levels: error (must-fix),
warning (should-fix), and info (nice-to-know). Produces a structured report showing which papers
have which issues, with fix guidance for each rule.
## Prerequisites
Papers must be in the library (`paper-ingest` skill). For rules checking concept/edge counts, the KG should be built (`kg-build` skill).
## Quick Start
```bash
drbrain audit
```
## What It Checks
**Error rules (2):** `missing_title`, `missing_md`
**Warning rules (8):** `missing_doi`, `missing_abstract`, `missing_year`, `missing_journal`,
`missing_authors`, `short_md`, `empty_tree`, `low_concept_count`, `unresolved_env`
**Info rules (4):** `no_edges`, `placeholder_status`, `old_placeholder`, `duplicate_title`
## Common Patterns
**Quick health check before analysis:**
```bash
drbrain audit --severity error
```
If this returns issues, something is fundamentally broken — fix before running analysis.
**Full audit before `drbrain analyze` or `drbrain seed`:**
```bash
drbrain audit
```
Fix warnings first. Papers with missing abstracts, years, or journals produce noisy results.
**Find stale placeholders:**
```bash
drbrain audit --severity info --json | jq '.[] | select(.rule == "old_placeholder")'
```
**Workspace-specific audit:**
```bash
drbrain audit --workspace attention-methods
```
**Fix common issues:**
- `missing_md` / `empty_tree`: re-run `drbrain ingest`
- `missing_doi` / `missing_authors` / `missing_abstract`: run `drbrain repair --all`
- `low_concept_count` / `no_edges`: re-run `drbrain graph build`
## Examples
**Full audit with JSON for scripting:**
```bash
drbrain audit --severity info --json | jq 'group_by(.severity) | map({severity: .[0].severity, count: length})'
```
**Check a workspace for issues before submission:**
```bash
drbrain audit --workspace paper-draft --severity warning
```
## CLI Reference
| Command | What it does |
|---------|--------------|
| `drbrain audit` | Full audit at warning level (warnings + errors) |
| `drbrain audit --severity error` | Only errors |
| `drbrain audit --severity info` | All issues including info-level |
| `drbrain audit --json` | Machine-readable JSON output |
| `drbrain audit --workspace <name>` | Audit only papers in a workspace |
| `drbrain repair --all` | Auto-fix missing metadata from CrossRef/arXiv |From UynajGI/drbrain, MIT.
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kg-build
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Build the knowledge graph from ingested papers — 5-stage LLM extraction, TransE graph embeddings, and rule-based closure inference.
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fsearch
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Search local evidence and external sources (arXiv) in one command, with ingested annotation.
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graph
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Direct knowledge graph operations — traverse neighbors, find shortest paths, and analyze shared concepts across papers.
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index
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Prepare, inspect and verify the searchable index.
SkillBFreshness: BClaude Code +9 - 0.524score
ingest-link
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Ingest web URLs and online PDFs by extracting rendered content via an external qt-web-extractor service.
SkillBFreshness: BClaude Code +9 - 0.524score
kg-reason
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Reason over the knowledge graph using LLM agents — natural language Q&A and tool-calling iterative reasoning with bidirectional LLM↔KG validation.
SkillBFreshness: BClaude Code +9 - 0.474score
citation-styles
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Manage citation styles for Markdown reference export.
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document
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Inspect Office documents (DOCX, PPTX, XLSX) and output structured text summaries.
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enrich
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Enrich paper metadata by backfilling missing fields from CrossRef and detecting records that need cleanup.
SkillCFreshness: CClaude Code +9 - 0.474score
explore
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Manage explore silos — lightweight literature discovery collections separate from the main library.
SkillCFreshness: CClaude Code +9 - 0.474score
export
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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)
- Sep 16, 2026 (1 month 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
index
UynajGI
Prepare, inspect and verify the searchable index.
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
graph
UynajGI
Direct knowledge graph operations — traverse neighbors, find shortest paths, and analyze shared concepts across papers.
SkillBFreshness: BClaude Code +9 - 0.524score
ingest-link
UynajGI
Ingest web URLs and online PDFs by extracting rendered content via an external qt-web-extractor service.
SkillBFreshness: BClaude Code +9
Cite this page
audit skill. Agent Mart. https://agentmart.dev/skills/uynajgi-audit (last updated 2026-10-24)