Run a deterministic, read-only health check on an Obsidian wiki. Use for lint, vault health check, audit wiki health, find orphans, find dead links, frontmatter audit, provenance audit, or wiki audit. Reports graph, link, frontmatter, provenance-ledger, empty-section, and stale-index findings; it does not reason broadly or repair files.
72
90%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Passed
No findings from the security scan
Use the portable lint engine as the source of truth. Lint observes vault state; it does not create reports, dashboards, canvases, stubs, or fixes.
Resolve the installed product root from this skill's own location, not from the vault or current working directory:
PRODUCT_ROOT=/absolute/path/to/installed/claude-obsidian
CORE="$PRODUCT_ROOT/scripts/claude-obsidian.py"
test -f "$CORE"Resolve the user vault, then run one of:
python3 "$CORE" lint --vault "$VAULT"
python3 "$CORE" lint --vault "$VAULT" --format markdownUse --strict only when a nonzero exit for findings is useful in automation.
The command remains read-only either way.
The deterministic parser understands Obsidian wikilinks and embeds, Markdown
links, aliases, heading and block fragments, escaped aliases, and code fences.
It reports such categories as dead or ambiguous links, orphan pages, required
frontmatter gaps (including title), empty sections, stale index entries, and
source/claim ledger contract violations. Report only the
checks and counts present in its output; do not claim that it performed
semantic, stylistic, or prose-level contradiction analysis when it did
not.
Do not write the Markdown rendering into the vault. Return it in chat or stdout.
Never auto-fix a lint result. After the user chooses specific findings to repair:
Follow the operation transaction contract. Lint itself never applies that transaction and never commits Git.
Observe the deterministic report, think about root causes rather than finding count, verify proposed repairs against current hashes, and grow by improving the workflow that produced repeated findings.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.