Obsidian + Claude Code Accountability System is a personal knowledge-management setup that connects long-term goals with projects, reviews, daily notes, and tasks inside Obsidian. People use it to plan work, track progress, and review whether daily activity supports their goals with help from Claude Code. Its catalogue add-ons implement the system's planning, tracking, and review workflows.
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.
npx skills add ballred/obsidian-claude-pkm --skill onboardgit clone --depth 1 https://github.com/ballred/obsidian-claude-pkmWrote 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.
[](https://agentmods.dev/skills/ballred/obsidian-claude-pkm/onboard)<a href="https://agentmods.dev/skills/ballred/obsidian-claude-pkm/onboard"><img src="https://agentmods.dev/badge/skills/ballred/obsidian-claude-pkm/onboard/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.
<a href="https://agentmods.dev/skills/ballred/obsidian-claude-pkm/onboard"><img src="https://agentmods.dev/badge/skills/ballred/obsidian-claude-pkm/onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.01628 |
| Opus 5 | $0.00020 | $0.00814 |
| Sonnet 5 | $0.00008 | $0.00326 |
| Haiku 4.5 | $0.00004 | $0.00163 |
Grade A, and why
onboard 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboard Skill
Interactive vault setup (first run) and context loading (subsequent runs).
Usage
/onboard # Full onboard (setup if first run, context load if not)
/onboard Projects/MyProject # Load specific project context
First-Run Setup
If the file FIRST_RUN exists in the vault root, this is a new vault. Run the interactive setup:
Step 1: Welcome
Greet the user and explain what will happen:
- "I'll ask a few questions to personalize your vault (~2 minutes)"
- "Your answers are saved locally in vault-config.json"
- "You can change these anytime by editing that file or running /onboard again"
Step 2: Ask Questions
Use AskUserQuestion to ask these interactively:
Question 1: Your name
- "What should I call you?"
- Used for personalized prompts and greetings
Question 2: Preferred review day
- "What day do you prefer for your weekly review?"
- Options: Sunday (Recommended), Saturday, Monday, Friday
- Used by
/reviewauto-detection and session-init nudges
Question 3: Primary goal areas
- "Which areas are most important to you right now? (Pick 2-4)"
- Options: Career & Professional, Health & Wellness, Relationships, Personal Growth
- Also offer: Financial, Creativity & Fun, Learning, Other
- multiSelect: true
- Used to customize goal template suggestions
Question 4: Work style
- "How do you prefer Claude to interact?"
- Options: Direct and concise (Recommended), Coaching and challenging, Detailed and thorough, Minimal — just do the task
- Sets output style preference
Step 3: Save Configuration
Write vault-config.json in the vault root:
{
"name": "User's name",
"reviewDay": "Sunday",
"goalAreas": ["Career & Professional", "Health & Wellness"],
"workStyle": "Direct and concise",
"setupDate": "2026-02-15",
"version": "3.1"
}
Step 4: Personalize CLAUDE.md
Edit the root CLAUDE.md:
- Replace
[CUSTOMIZE: Add your personal mission statement here]with a prompt based on their goal areas - Update the "Current Focus" section to reference their chosen areas
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.
- 11d ago First seen · 271 lines · 40 tokens per session scan A b1bd2a6ddc20
onboard is a skill published in the GitHub repository ballred/obsidian-claude-pkm (1,861 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 1,628 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
kb-lint
Health check for the PARA Knowledge Base. Detects orphan documents, broken links, index drift, tag issues, and stale content. Run periodically or as part of weekly review.
ai-second-brain
Walks the user through Charlie Hills's AI Second Brain + Karpathy Wiki setup from the MarTech AI newsletter. Use whenever the user mentions building an AI second brain, the Karpathy wiki, organising their ChatGPT/Claude exports in Obsidian, setting up a living wiki with Claude Code, connecting iMessage Channels, or…
Obsidian Automation
Automate Obsidian knowledge management, note linking, and personal knowledge base workflows.
refresh-context
A context snapshot updater for Core Context.md, a summary file built from nine main system files and selected essays. It refreshes that summary when the underlying material changes or the snapshot is more than 30 days old.
hibernate
Save comprehensive state snapshot before extended travel or breaks - enables context recovery weeks/months later.
research-assistant
Deep vault search and synthesis - find what's known before searching externally.