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 dailygit 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/daily)<a href="https://agentmods.dev/skills/ballred/obsidian-claude-pkm/daily"><img src="https://agentmods.dev/badge/skills/ballred/obsidian-claude-pkm/daily/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/daily"><img src="https://agentmods.dev/badge/skills/ballred/obsidian-claude-pkm/daily.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.01892 |
| Opus 5 | $0.00020 | $0.00946 |
| Sonnet 5 | $0.00008 | $0.00378 |
| Haiku 4.5 | $0.00004 | $0.00189 |
Grade A, and why
daily 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 12d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily Workflow Skill
Creates daily notes and provides structured workflows for morning planning, midday check-ins, and evening shutdowns.
Usage
Invoke with /daily or ask Claude to create today's note or help with daily routines.
Create Today's Note
/daily
Or simply ask:
- "Create today's daily note"
- "Start my morning routine"
- "Help me with evening shutdown"
Daily Note Creation
What Happens
-
Checks if today's note exists
- If yes: Opens the existing note
- If no: Creates new note from template
-
Template Processing
- Replaces
{{date}}with today's date - Replaces
{{date:format}}with formatted dates - Handles date arithmetic (e.g.,
{{date-1}}for yesterday)
- Replaces
-
Automatic Organization
- Places note in
Daily Notes/folder - Names file with today's date (YYYY-MM-DD.md)
- Preserves template structure
- Places note in
Template Variables
Your daily template can use:
{{date}}- Today's date in default format{{date:dddd}}- Day name (e.g., Monday){{date:MMMM DD, YYYY}}- Formatted date{{date-1:YYYY-MM-DD}}- Yesterday's date{{date+1:YYYY-MM-DD}}- Tomorrow's date{{time}}- Current time
Morning Routine (5-10 minutes)
Automated Steps
- Create today's daily note (if not exists)
- Pull incomplete tasks from yesterday
- Read this week's ONE Big Thing from
Goals/3. Weekly Review.md - Surface active project next-actions from
Projects/*/CLAUDE.md - Review weekly goals for today's priority
Cascade Context Surfacing
Before interactive prompts, automatically surface:
- ONE Big Thing from most recent weekly review
- Active project next-actions from
Projects/*/CLAUDE.md(read "Next Actions" section) - Monthly priority from
Goals/2. Monthly Goals.md
Display as a brief context block at the top of the morning routine:
### Today's Context
- **Week's ONE Big Thing:** [from weekly review]
- **Active Projects:** [project names with first next-action each]
- **Monthly Focus:** [from monthly goals]
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.
- 12d ago First seen · 288 lines · 41 tokens per session scan A 09e5361a6a93
daily is a skill published in the GitHub repository ballred/obsidian-claude-pkm (1,862 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 1,892 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
obsidian
Organize Obsidian vaults with Markdown, URI links, Templater, Dataview, and local plugin workflows.
inbox
An inbox-management skill for scanning an LLM Wiki inbox, previewing pending files, choosing how to process them, and sending selected material through an import step.
weekly-review
Weekly patterns review - aggregate progress, insights, and alignment.
audit
Rigorous six-layer evaluation (Layers 0-5) of any implementation (code, config, plans, processes, systems) — by a cross-model panel by default, gracefully downgrading to whatever models are available, or a single model on request.
book-stay
Choose and book a hotel (or stay) — quiz preferences, generate shortlist, verify rates, hand off booking, fan out references across the vault.
landscape-scan
Topic-parameterised external-intelligence scan + digest. Default topic is the AI/Claude Code/PKM landscape; pass a topic name (e.g. cybersec) to run a different profile. Curated-source scan, user-provided URL pile, or both — assessed through the active profile's lens.