wiki-dashboard

wiki-dashboard is a skill for Claude Code from Ar9av/obsidian-wiki. It costs 42 tokens per session (3,377 once invoked), scanned A, original, MIT.

A workflow for building live, queryable views of an Obsidian vault using Obsidian Bases or Dataview. These views can organize notes into tables or other filtered displays.

In plain words
What is it for?
Use it to create dashboards, content indexes, tables of projects or concepts, and other dynamic views of the notes.
Why use it?
It avoids maintaining static indexes by showing information from the vault according to selected categories, fields, or conditions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the obsidian-wiki plugin — 40 skills, 2 hooks shipped together

Good fit Use it to create dashboards, content indexes, tables of projects or concepts, and other dynamic views of the notes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ar9av/obsidian-wiki/wiki-dashboard
About the project

obsidian-wiki is a framework that helps AI agents build and maintain an interconnected knowledge base from text-based material in an Obsidian vault. It is for people who want their agents to remember discoveries, connect related information, and answer questions with wiki-link citations. Catalogue add-ons provide the agent skills, instructions, agents, and configuration used to create and maintain these wikis.

Ar9av/obsidian-wiki · 3,618 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ar9av/obsidian-wiki --skill wiki-dashboard
Clone the repo
git clone --depth 1 https://github.com/Ar9av/obsidian-wiki

Made for: Claude Code.

Or install obsidian-wiki, the plugin that ships this one along with the rest of its 40 skills, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for wiki-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/ar9av/obsidian-wiki/wiki-dashboard/github.svg)](https://agentmods.dev/skills/ar9av/obsidian-wiki/wiki-dashboard)
Your own site
<a href="https://agentmods.dev/skills/ar9av/obsidian-wiki/wiki-dashboard"><img src="https://agentmods.dev/badge/skills/ar9av/obsidian-wiki/wiki-dashboard/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for wiki-dashboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/ar9av/obsidian-wiki/wiki-dashboard"><img src="https://agentmods.dev/badge/skills/ar9av/obsidian-wiki/wiki-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,377 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 6 Oct 2026
  • Snyk pass 6 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.03377
Opus 5.5 $0.00017 $0.01351
Sonnet 5.5 $0.00008 $0.00675
Haiku 4.5 $0.00004 $0.00338

Measured 18d ago against content hash 9727caf3c77e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wiki-dashboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.skills/wiki-dashboard/SKILL.md · 469 lines

How it starts

The opening of the file, as written. The whole thing — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wiki Dashboard — Dynamic Vault Views

Two tools available: Obsidian Bases (native, GUI-driven, no plugin) and Dataview (community plugin, SQL-like, more powerful). Check which the user has and prefer Bases unless they ask for Dataview or need GROUP BY / computed columns.

Before You Start

Writing profile: Before drafting or rewriting natural-language Markdown, read and apply the Writing Profile Resolution section in llm-wiki/SKILL.md. Framework schema, provenance, safety, and operation-specific requirements take precedence. Apply WRITING.md preferences only to optional Markdown dashboard prose; .base syntax remains unchanged.

  1. Resolve config — follow the Config Resolution Protocol in llm-wiki/SKILL.md (inline @name override → walk up CWD for .env → global config → prompt setup). This gives OBSIDIAN_VAULT_PATH.
  2. Read $OBSIDIAN_VAULT_PATH/index.md to understand what categories and pages exist.
  3. Ask the user what they want to view if not specified — folder, tag, category, date range?
  4. Ask if they have Dataview installed if you're unsure which tool to use.

Option A — Obsidian Bases (.base files)

Bases are YAML files that define live views over vault notes. Native to Obsidian 1.8+, no plugin needed.

Official canonical schema

Top-level keys:

filters:      # Global filter applied to all views (expression strings under and/or/not)
formulas:     # Named computed properties — referenced as formula.<name>
properties:   # Display config per property — sets displayName for column headers
summaries:    # Aggregation formulas (e.g. mean, sum)
views:        # Array of view definitions (required)

Each item in views::

views:
  - type: table          # table | list | cards | map
    name: "View Name"    # display label
    limit: 50            # optional max rows
    order:               # column display order (list of property/formula names)
      - file.name
      - note.updated
    groupBy:             # grouping — goes INSIDE the view, NOT at top level
      property: note.tags
      direction: ASC     # ASC | DESC
    filters:             # view-specific filter (merges with global filters)
      and:
        - 'note.status != "done"'
    summaries:
      formula.myFormula: Average

Read the full file on GitHub · 469 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 18d ago Changed · -4 lines · -70 tokens per session 9727caf3c77e
  2. 1mo ago First seen · 473 lines · 112 tokens per session scan A f9689574dbf9

Subscribe to this mod's changes

wiki-dashboard is a skill published in the GitHub repository Ar9av/obsidian-wiki (3,618 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 3,377 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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