Creator · AgriciDaniel
Last updated · Sep 1, 2026
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-i
Creator · AgriciDaniel
Last updated · Sep 1, 2026
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-i
Creator · AgriciDaniel
Last updated · Sep 1, 2026
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-i
Creator · AgriciDaniel
Last updated · Sep 1, 2026
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-i
Review then install
Install targets
Codex install prompt
Install the "wiki-lint" agent skill from https://github.com/AgriciDaniel/claude-obsidian/tree/main/skills/wiki-lint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agricidaniel-wiki-lint","task":"Install wiki-lint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Maintenance
fresh
12d since push
Risk
Safe to try
Quality score needs review
GitHub quality
15K
89/100 Quality · 86/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
15K GitHub stars
Repo activity
15K stars, 1.5K forks
Maintenance
12d since push
License
MIT
Install
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agricidaniel-wiki-lint/install
Agent should check
Copy prompt
Task: Use wiki-lint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install
Install command: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agricidaniel-wiki-lint/install
LLM text format
/api/skills/agricidaniel-wiki-lint/install?format=text
Find alternatives
/api/skills/search?q=wiki-lint&limit=3
Agent prompt
Use wiki-lint for this task. Review https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install, then install with: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agricidaniel-wiki-lint
LLM text
/api/registry/manifest/agricidaniel-wiki-lint?format=text
Install alias
/api/registry/install/agricidaniel-wiki-lint
Recommend
/api/registry/recommend?task=Use%20wiki-lint%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS15K GitHub stars
Stars/forks activity
PASS15K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS12d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: wiki-lint description: "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." ---
# Lint the wiki
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:
```bash PRODUCT_ROOT=/absolute/path/to/installed/claude-obsidian CORE="$PRODUCT_ROOT/scripts/claude-obsidian.py" test -f "$CORE" ```
## Run
Resolve the user vault, then run one of:
```bash python3 "$CORE" lint --vault "$VAULT" python3 "$CORE" lint --vault "$VAULT" --format markdown ```
Use `--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.
## Explain findings
1. Preserve the engine's paths, line numbers, targets, categories, and counts. 2. Group findings by likely impact: broken navigation, ambiguous resolution, metadata quality, then maintainability. 3. Explain that an orphan may be intentional and an ambiguous basename needs a path-qualified link; do not infer intent from the finding alone. 4. Treat allowlisted findings as policy, not as proof that the target exists. 5. Separate deterministic facts from suggested remediation.
Do not write the Markdown rendering into the vault. Return it in chat or stdout.
## Repair is a separate operation
Never auto-fix a lint result. After the user chooses specific findings to repair:
1. Re-read each target and record its expected SHA-256. 2. Draft only the selected changes; do not delete or merge pages without explicit consent. 3. Build one repair bundle with a new operation ID. 4. Inspect the bundle and show exact changed paths. 5. Apply only after that separate review. 6. Re-run lint read-only and compare the relevant findings.
Follow the [operation transaction contract](../wiki/references/operation-transactions.md). Lint itself never applies that transaction and never commits Git.
## Checkpoint
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.
Source provenance
Decision snapshot
14,520 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for wiki-lint, ready for a manual X post.
wiki-lint: Run a deterministic, read-only health check on an Obsidian wiki. Use for lint, vault health c... 14.5K stars https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x
Listing + install path for wiki-lint: https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x Install: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to AgriciDaniel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint/audit)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)AgriciDaniel
@agricidaniel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
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32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsReview then install
Install targets
Codex install prompt
Install the "wiki-lint" agent skill from https://github.com/AgriciDaniel/claude-obsidian/tree/main/skills/wiki-lint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agricidaniel-wiki-lint","task":"Install wiki-lint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Maintenance
fresh
12d since push
Risk
Safe to try
Quality score needs review
GitHub quality
15K
89/100 Quality · 86/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
15K GitHub stars
Repo activity
15K stars, 1.5K forks
Maintenance
12d since push
License
MIT
Install
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agricidaniel-wiki-lint/install
Agent should check
Copy prompt
Task: Use wiki-lint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install
Install command: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agricidaniel-wiki-lint/install
LLM text format
/api/skills/agricidaniel-wiki-lint/install?format=text
Find alternatives
/api/skills/search?q=wiki-lint&limit=3
Agent prompt
Use wiki-lint for this task. Review https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install, then install with: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agricidaniel-wiki-lint
LLM text
/api/registry/manifest/agricidaniel-wiki-lint?format=text
Install alias
/api/registry/install/agricidaniel-wiki-lint
Recommend
/api/registry/recommend?task=Use%20wiki-lint%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS15K GitHub stars
Stars/forks activity
PASS15K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS12d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: wiki-lint description: "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." ---
# Lint the wiki
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:
```bash PRODUCT_ROOT=/absolute/path/to/installed/claude-obsidian CORE="$PRODUCT_ROOT/scripts/claude-obsidian.py" test -f "$CORE" ```
## Run
Resolve the user vault, then run one of:
```bash python3 "$CORE" lint --vault "$VAULT" python3 "$CORE" lint --vault "$VAULT" --format markdown ```
Use `--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.
## Explain findings
1. Preserve the engine's paths, line numbers, targets, categories, and counts. 2. Group findings by likely impact: broken navigation, ambiguous resolution, metadata quality, then maintainability. 3. Explain that an orphan may be intentional and an ambiguous basename needs a path-qualified link; do not infer intent from the finding alone. 4. Treat allowlisted findings as policy, not as proof that the target exists. 5. Separate deterministic facts from suggested remediation.
Do not write the Markdown rendering into the vault. Return it in chat or stdout.
## Repair is a separate operation
Never auto-fix a lint result. After the user chooses specific findings to repair:
1. Re-read each target and record its expected SHA-256. 2. Draft only the selected changes; do not delete or merge pages without explicit consent. 3. Build one repair bundle with a new operation ID. 4. Inspect the bundle and show exact changed paths. 5. Apply only after that separate review. 6. Re-run lint read-only and compare the relevant findings.
Follow the [operation transaction contract](../wiki/references/operation-transactions.md). Lint itself never applies that transaction and never commits Git.
## Checkpoint
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.
Source provenance
Decision snapshot
14,520 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for wiki-lint, ready for a manual X post.
wiki-lint: Run a deterministic, read-only health check on an Obsidian wiki. Use for lint, vault health c... 14.5K stars https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x
Listing + install path for wiki-lint: https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x Install: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to AgriciDaniel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint/audit)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)AgriciDaniel
@agricidaniel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsReview then install
Install targets
Codex install prompt
Install the "wiki-lint" agent skill from https://github.com/AgriciDaniel/claude-obsidian/tree/main/skills/wiki-lint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agricidaniel-wiki-lint","task":"Install wiki-lint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Maintenance
fresh
12d since push
Risk
Safe to try
Quality score needs review
GitHub quality
15K
89/100 Quality · 86/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
15K GitHub stars
Repo activity
15K stars, 1.5K forks
Maintenance
12d since push
License
MIT
Install
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agricidaniel-wiki-lint/install
Agent should check
Copy prompt
Task: Use wiki-lint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install
Install command: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agricidaniel-wiki-lint/install
LLM text format
/api/skills/agricidaniel-wiki-lint/install?format=text
Find alternatives
/api/skills/search?q=wiki-lint&limit=3
Agent prompt
Use wiki-lint for this task. Review https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install, then install with: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agricidaniel-wiki-lint
LLM text
/api/registry/manifest/agricidaniel-wiki-lint?format=text
Install alias
/api/registry/install/agricidaniel-wiki-lint
Recommend
/api/registry/recommend?task=Use%20wiki-lint%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS15K GitHub stars
Stars/forks activity
PASS15K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS12d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: wiki-lint description: "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." ---
# Lint the wiki
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:
```bash PRODUCT_ROOT=/absolute/path/to/installed/claude-obsidian CORE="$PRODUCT_ROOT/scripts/claude-obsidian.py" test -f "$CORE" ```
## Run
Resolve the user vault, then run one of:
```bash python3 "$CORE" lint --vault "$VAULT" python3 "$CORE" lint --vault "$VAULT" --format markdown ```
Use `--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.
## Explain findings
1. Preserve the engine's paths, line numbers, targets, categories, and counts. 2. Group findings by likely impact: broken navigation, ambiguous resolution, metadata quality, then maintainability. 3. Explain that an orphan may be intentional and an ambiguous basename needs a path-qualified link; do not infer intent from the finding alone. 4. Treat allowlisted findings as policy, not as proof that the target exists. 5. Separate deterministic facts from suggested remediation.
Do not write the Markdown rendering into the vault. Return it in chat or stdout.
## Repair is a separate operation
Never auto-fix a lint result. After the user chooses specific findings to repair:
1. Re-read each target and record its expected SHA-256. 2. Draft only the selected changes; do not delete or merge pages without explicit consent. 3. Build one repair bundle with a new operation ID. 4. Inspect the bundle and show exact changed paths. 5. Apply only after that separate review. 6. Re-run lint read-only and compare the relevant findings.
Follow the [operation transaction contract](../wiki/references/operation-transactions.md). Lint itself never applies that transaction and never commits Git.
## Checkpoint
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.
Source provenance
Decision snapshot
14,520 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for wiki-lint, ready for a manual X post.
wiki-lint: Run a deterministic, read-only health check on an Obsidian wiki. Use for lint, vault health c... 14.5K stars https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x
Listing + install path for wiki-lint: https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x Install: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to AgriciDaniel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint/audit)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)AgriciDaniel
@agricidaniel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
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16.3K StarsMaigret
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32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsReview then install
Install targets
Codex install prompt
Install the "wiki-lint" agent skill from https://github.com/AgriciDaniel/claude-obsidian/tree/main/skills/wiki-lint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agricidaniel-wiki-lint","task":"Install wiki-lint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Maintenance
fresh
12d since push
Risk
Safe to try
Quality score needs review
GitHub quality
15K
89/100 Quality · 86/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
15K GitHub stars
Repo activity
15K stars, 1.5K forks
Maintenance
12d since push
License
MIT
Install
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agricidaniel-wiki-lint/install
Agent should check
Copy prompt
Task: Use wiki-lint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20wiki-lint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install
Install command: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agricidaniel-wiki-lint/install
LLM text format
/api/skills/agricidaniel-wiki-lint/install?format=text
Find alternatives
/api/skills/search?q=wiki-lint&limit=3
Agent prompt
Use wiki-lint for this task. Review https://www.openagentskill.com/api/skills/agricidaniel-wiki-lint/install, then install with: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agricidaniel-wiki-lint
LLM text
/api/registry/manifest/agricidaniel-wiki-lint?format=text
Install alias
/api/registry/install/agricidaniel-wiki-lint
Recommend
/api/registry/recommend?task=Use%20wiki-lint%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS15K GitHub stars
Stars/forks activity
PASS15K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS12d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: wiki-lint description: "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." ---
# Lint the wiki
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:
```bash PRODUCT_ROOT=/absolute/path/to/installed/claude-obsidian CORE="$PRODUCT_ROOT/scripts/claude-obsidian.py" test -f "$CORE" ```
## Run
Resolve the user vault, then run one of:
```bash python3 "$CORE" lint --vault "$VAULT" python3 "$CORE" lint --vault "$VAULT" --format markdown ```
Use `--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.
## Explain findings
1. Preserve the engine's paths, line numbers, targets, categories, and counts. 2. Group findings by likely impact: broken navigation, ambiguous resolution, metadata quality, then maintainability. 3. Explain that an orphan may be intentional and an ambiguous basename needs a path-qualified link; do not infer intent from the finding alone. 4. Treat allowlisted findings as policy, not as proof that the target exists. 5. Separate deterministic facts from suggested remediation.
Do not write the Markdown rendering into the vault. Return it in chat or stdout.
## Repair is a separate operation
Never auto-fix a lint result. After the user chooses specific findings to repair:
1. Re-read each target and record its expected SHA-256. 2. Draft only the selected changes; do not delete or merge pages without explicit consent. 3. Build one repair bundle with a new operation ID. 4. Inspect the bundle and show exact changed paths. 5. Apply only after that separate review. 6. Re-run lint read-only and compare the relevant findings.
Follow the [operation transaction contract](../wiki/references/operation-transactions.md). Lint itself never applies that transaction and never commits Git.
## Checkpoint
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.
Source provenance
Decision snapshot
14,520 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for wiki-lint, ready for a manual X post.
wiki-lint: Run a deterministic, read-only health check on an Obsidian wiki. Use for lint, vault health c... 14.5K stars https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x
Listing + install path for wiki-lint: https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=x Install: npx skills add AgriciDaniel/claude-obsidian --skill wiki-lint
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to AgriciDaniel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint/audit)
[](https://www.openagentskill.com/skills/agricidaniel-wiki-lint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)AgriciDaniel
@agricidaniel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsPermission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness