Borrowing it
Nothing to install: this file belongs to loerei/chronicle-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/loerei/chronicle-mcp/main/.agents/skills/obsidian-vault/SKILL.mdgit clone --depth 1 https://github.com/loerei/chronicle-mcpWrote 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/loerei/chronicle-mcp/obsidian-vault)<a href="https://agentmods.dev/skills/loerei/chronicle-mcp/obsidian-vault"><img src="https://agentmods.dev/badge/skills/loerei/chronicle-mcp/obsidian-vault/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/loerei/chronicle-mcp/obsidian-vault"><img src="https://agentmods.dev/badge/skills/loerei/chronicle-mcp/obsidian-vault.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00043 | $0.00414 |
| Opus 5 | $0.00022 | $0.00207 |
| Sonnet 5 | $0.00009 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
obsidian-vault 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.
This is a copy
100% identical to obsidian-vault — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Obsidian Vault
Vault location
/mnt/d/Obsidian Vault/AI Research/
Mostly flat at root level.
Naming conventions
- Index notes: aggregate related topics (e.g.,
Ralph Wiggum Index.md,Skills Index.md,RAG Index.md) - Title case for all note names
- No folders for organization - use links and index notes instead
Linking
- Use Obsidian
[[wikilinks]]syntax:[[Note Title]] - Notes link to dependencies/related notes at the bottom
- Index notes are just lists of
[[wikilinks]]
Workflows
Search for notes
# Search by filename
find "/mnt/d/Obsidian Vault/AI Research/" -name "*.md" | grep -i "keyword"
# Search by content
grep -rl "keyword" "/mnt/d/Obsidian Vault/AI Research/" --include="*.md"
Or use Grep/Glob tools directly on the vault path.
Create a new note
- Use Title Case for filename
- Write content as a unit of learning (per vault rules)
- Add
[[wikilinks]]to related notes at the bottom - If part of a numbered sequence, use the hierarchical numbering scheme
Find related notes
Search for [[Note Title]] across the vault to find backlinks:
grep -rl "\\[\\[Note Title\\]\\]" "/mnt/d/Obsidian Vault/AI Research/"
Find index notes
find "/mnt/d/Obsidian Vault/AI Research/" -name "*Index*"
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 · 60 lines · 43 tokens per session scan A 7bed1d552aa5
obsidian-vault is a skill published in the GitHub repository loerei/chronicle-mcp (0 stars, last pushed 7d ago), licensed MIT. It adds 43 tokens to every session and 414 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to obsidian-vault, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.