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.
git clone --depth 1 https://github.com/Michael-OvO/obsidian-knowledge-agentWrote 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/commands/michael-ovo/obsidian-knowledge-agent/doctor)<a href="https://agentmods.dev/commands/michael-ovo/obsidian-knowledge-agent/doctor"><img src="https://agentmods.dev/badge/commands/michael-ovo/obsidian-knowledge-agent/doctor.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00021 | $0.00212 |
| Opus 5 | $0.00010 | $0.00106 |
| Sonnet 5 | $0.00004 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
doctor 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 9d 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.
What it actually says
Run a health check over the vault (or the folder in $ARGUMENTS) and report a clean summary.
- Broken wikilinks — run the bundled
scripts/validate_links.pyon the target. - Orphans — notes that nothing links to and that link to nothing (ignore indexes and dashboards).
- Frontmatter — notes missing the minimum (
tags,created) or with malformed YAML. - Stubs & placeholders —
# … — MISSINGnotes and near-empty notes. - Canvas — any
.canvasfile whose file nodes point at files that no longer exist.
Report the findings grouped, with counts and the worst offenders named. Then propose concrete fixes and apply them only with my approval — never delete anything without asking.
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.
- 9d ago First seen · 17 lines · 21 tokens per session scan A e08ac5499a53
doctor is a command published in the GitHub repository Michael-OvO/obsidian-knowledge-agent (206 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 212 once invoked, about $0.0001 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 commands, from other repositories
fire-resurrect
Autonomous Resurrection Mode — reverse-engineer intent from messy code, then rebuild clean from scratch.
fire-debug
Systematic debugging with persistent state, skills library integration, and WARRIOR validation.
fire-reflect
After any failure (debug resolution, test failure, approach rotation, stalled loop), capture what was tried, why it failed, and what actually worked as a persistent reflection. Future sessions search these before investigating.
fire-verify-uat
Conversational User Acceptance Testing with automatic parallel diagnosis on failures.
wikimate-lint
A read-only health check for an Obsidian vault, a folder of linked Markdown notes. It scans for duplicate notes, broken links, orphaned notes, frontmatter problems, and incomplete indexes.
install
Guided setup for a new Cowork workspace. Interviews you (about 5 minutes) and generates a full, pre-configured cowork-os workspace (folders, copy, project instructions, and recurring routines).