/check

Scans the full wiki to detect structural, link, field, and graph health issues, and generates a tiered fix-recommendation report. Covers every entity type declared in runtime/schema/entities.yaml (papers, concepts, topics, people, ideas, experiments, methods, Summary, foundations), plus graph edge / citation consistency. Highlights include: idea novelty-score plausibility, idea failure-reason completeness, experiment linked_idea validity.

Inputs

• Full wiki directory (default wiki/)
• Optional: --json flag (output JSON format via tools/lint.py)
• Optional: --fix flag (auto-fix deterministic issues)
• Optional: --fix --dry-run (preview fixes without applying them)
• Optional: --suggest flag (show recommendations for issues that cannot be auto-fixed)

Outputs

• Lint report (reported directly to the user)
• Optional file write: wiki/outputs/lint-report-{date}.md

Wiki Interaction

Reads

• wiki/papers/*.md — paper page fields and links
• wiki/concepts/*.md — concept page fields and links
• wiki/topics/*.md — topic page fields and links
• wiki/people/*.md — people page fields and links
• wiki/ideas/*.md — idea status, novelty_score, failure_reason, origin_gaps, target_venue
• wiki/experiments/*.md — experiment status, linked_idea, outcome
• wiki/methods/*.md — method type, source_papers, parent/child chains
• wiki/Summary/*.md — survey page fields
• wiki/foundations/*.md — foundations (terminal — incoming-link checks only)
• wiki/graph/edges.jsonl — semantic graph edge consistency check
• wiki/graph/citations.jsonl — bibliographic citation consistency check
• wiki/index.md — cross-check page completeness

Writes

• Does not directly modify wiki content (reports only, unless --fix is set)
• wiki/log.md — records lint result summary via tools/research_wiki.py log

Workflow

Pre-conditions: confirm the working directory is the wiki project root (directory containing wiki/, raw/, tools/). Set WIKI_ROOT=wiki/.

Step 1: Run the Automated Lint Tool

Default mode (report only):

python3 tools/lint.py --wiki-dir wiki/ --json

Auto-fix mode (when user specifies --fix):

python3 tools/lint.py --wiki-dir wiki/ --fix --json

Auto-fixes deterministic issues (xref reverse-link completion, missing fields filled with default values) and outputs a fix report.

Preview mode (when user specifies --fix --dry-run):

python3 tools/lint.py --wiki-dir wiki/ --fix --dry-run --json

Previews what would be fixed without applying any changes.

Parse the JSON output to obtain all automatically detected issues (and fix results).

Step 2: Structural Completeness (automated coverage)

The automated tool checks:

1. Broken wikilinks: [[slug]] target file does not exist
2. Orphan pages: pages with no incoming links
3. Missing required fields (per entity declared in runtime/schema/entities.yaml). Authoritative source: runtime.loader.REQUIRED_FIELDS. Current set:
   • papers: title, slug, tags, importance
   • concepts: title, tags, maturity, key_papers
   • topics: title, tags
   • people: name
   • methods: name, slug, type, tags
   • Summary: title, scope, key_topics
   • ideas: title, slug, status, origin, tags, priority
   • experiments: title, slug, status, linked_idea, hypothesis, tags
   • foundations: title, slug, domain, status

Step 3: Field Value Validation (automated coverage)

1. Enum value checks (sourced from runtime.loader.VALID_VALUES):
   • papers.importance ∈ {1,2,3,4,5}
   • concepts.maturity ∈ {stable, active, emerging, deprecated}
   • ideas.status ∈ {proposed, in_progress, tested, validated, failed}
   • ideas.priority ∈ {1,2,3,4,5}
   • experiments.status ∈ {planned, running, completed, abandoned}
   • experiments.outcome ∈ {succeeded, failed, inconclusive}
   • methods.type ∈ {architecture, training, inference, evaluation, data, benchmark, system, optimization, prompting, protocol, other}
   • foundations.status ∈ {mainstream, historical}
2. Idea novelty_score (when present) ∈ [1, 5] (integer)
3. Idea failure_reason: must be non-empty when status=failed (anti-repetition memory)
4. Experiment linked_idea: the referenced idea page must exist

Step 4: Cross Reference Symmetry (automated coverage)

Check all bidirectional link rules defined in runtime/schema/xref.yaml:

Forward link	Reverse link checked
papers ## Related → concepts	concepts.key_papers contains paper slug
papers wikilink → people	people ## Recent work contains paper slug
topics.key_people → people	people ## Research areas contains topic slug
concepts.key_papers → papers	papers ## Related contains concept slug
ideas.origin_gaps → concepts	concepts.linked_ideas contains idea slug
ideas.origin_gaps → topics	topics.linked_ideas contains idea slug
experiments.linked_idea → ideas	ideas.linked_experiments contains experiment slug
methods.source_papers → papers	papers ## Related contains method slug
methods.parent_methods ↔ methods.child_methods	reciprocity

Step 5: Graph Edge Consistency (automated coverage)

1. JSON format validity: every line is valid JSON
2. Required fields: each edge has from, to, type
3. Edge type validity: semantic edges use the current endpoint-aware type sets; legacy paper-paper / paper-concept types produce migration warnings
4. Edge confidence: /ingest paper-paper and paper-concept semantic edges use confidence: high|medium|low
5. Citation layer: graph/citations.jsonl rows use type: cites, valid source/date, paper endpoints, and no confidence field
6. Dangling nodes: wiki pages referenced by from/to must exist

Step 6: Content Quality (LLM-assisted)

Items detectable by the automated tool:

1. Papers with importance=5 have no concept page referencing them
2. Concepts with maturity=stable have only 1 key_paper
3. Topics have empty ## Open problems sections (also flag empty ### Known gaps / ### Methodological gaps subsections)

Additional LLM judgments (require reading content):

1. Concept near-duplicate detection: scan all concept page titles + aliases and assess whether any pairs are semantically identical or highly similar (e.g. "attention mechanism" and "self-attention"). Output merge recommendations for suspected duplicates.
2. Method near-duplicate detection: same exercise across wiki/methods/*.md, comparing name + tags + ## Mechanism summaries.
3. Contradictory statement detection (inconsistent descriptions of the same fact across different pages)
4. SOTA records not updated in over 6 months
5. People ## Recent work not updated in over 6 months
6. Idea novelty_score inconsistent with the strength of its ## Novelty argument (low score + bold argument, or high score + thin argument)
7. High-priority idea stuck in proposed status for a long time without linked_experiments

Step 7: Generate Report

Output sorted by priority:

## Lint Report — YYYY-MM-DD

**Summary**: N 🔴, M 🟡, K 🔵

### 🔴 Fix Immediately
1. [file] — {issue description}

### 🟡 Recommended Fixes
1. [file] — {issue description}

### 🔵 Optional Improvements
1. [file] — {issue description}

Classification:

• 🔴 Fix Immediately: broken links, missing required fields, invalid enum values, failed idea without failure_reason, invalid JSON in edges, novelty_score out of range
• 🟡 Recommended Fixes: xref asymmetry, dangling graph edges, broken linked_idea references, unknown edge types
• 🔵 Optional Improvements: orphan pages, quality suggestions, empty sections

Append log:

python3 tools/research_wiki.py log wiki/ "check | report: N 🔴, M 🟡, K 🔵"

Constraints

• Report-only by default: without --fix, only reports, no modifications
• --fix only repairs deterministic issues: xref reverse-link completion, missing fields filled with safe default values. Non-deterministic issues output recommendations (--suggest) for user approval
• raw/ is read-only: do not modify files under raw/
• graph/ is read-only: lint does not modify graph files, checks consistency only
• LLM judgments labeled by source: automated checks and LLM judgments are clearly distinguished in the report
• Idempotent: running multiple times produces the same result (unless wiki content changes)

Error Handling

• wiki/ does not exist: report error and suggest running /init
• graph files do not exist: skip the missing graph-file checks, note in report
• Partial directory missing: skip checks for missing directories, list missing directories in report

Dependencies

Tools（via Bash）

• python3 tools/lint.py --wiki-dir wiki/ [--json] [--fix] [--dry-run] [--suggest] — automated structural check + fix (core dependency)
• python3 tools/research_wiki.py log wiki/ "<message>" — append log
• python3 tools/research_wiki.py stats wiki/ — get statistics (optional, for the report)