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 thoreinstein/gemini-obsidian --skill knowledgegit clone --depth 1 https://github.com/thoreinstein/gemini-obsidianWrote 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/thoreinstein/gemini-obsidian/knowledge)<a href="https://agentmods.dev/skills/thoreinstein/gemini-obsidian/knowledge"><img src="https://agentmods.dev/badge/skills/thoreinstein/gemini-obsidian/knowledge/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/thoreinstein/gemini-obsidian/knowledge"><img src="https://agentmods.dev/badge/skills/thoreinstein/gemini-obsidian/knowledge.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 | $0.00042 | $0.00415 |
| Opus 5.5 | $0.00017 | $0.00166 |
| Sonnet 5.5 | $0.00008 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
knowledge 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 1mo 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
97% identical to compound — 4 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
Compound Knowledge Promotion
Identify knowledge that has crystallized across multiple projects and promote it to a global Engineering/ note.
Workflow
-
Scan project knowledge dirs — Call
obsidian_list_noteswithsubfolder: "working". Filter results to paths matchingworking/*/knowledge/*.md. -
Semantic clustering — For each knowledge note path, call
obsidian_rag_querywith the note filename (without extension) as query,limit: 8. Track which notes appear in results from 2+ different projects — these are candidates. -
Read candidates — Call
obsidian_read_noteon shortlisted files. Look for shared definitions, patterns, or insights worth generalizing. -
Draft global note — Compose a new
Engineering/<ConceptName>.mdwith:- Frontmatter:
type: concept,created: <today> - Synthesized body (not copy-paste — rewrite for clarity)
## Source Notessection with[[wikilinks]]back to originating notes
- Frontmatter:
-
Show draft to user — Present the proposed note content and path before creating. Ask for confirmation.
-
Create on approval — Call
obsidian_create_notewith the approved content. -
Report cross-links — List which project knowledge notes should now add
[[ConceptName]]to avoid re-discovering this knowledge next time.
Arguments
Optional topic hint: /compound authentication patterns
Tips
- If
obsidian_rag_queryreturns no results, suggest running/obsidian:indexfirst - If no notes appear in 2+ projects, report that and suggest manual promotion
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.
- 1mo ago First seen · 46 lines · 42 tokens per session scan A cf763681141c
knowledge is a skill published in the GitHub repository thoreinstein/gemini-obsidian (103 stars, last pushed 5d ago), licensed ISC. It adds 42 tokens to every session and 415 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to compound, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
context-optimize
Improve context efficiency and cache stability for long or complex sessions.
oma-checkpoint
Record an immutable Session Trail checkpoint with source hashes and a compact resume pack.
oma-deep-init
Run deep repository initialization to create durable project-map context for long sessions.
oma-learn
Manually trigger session evaluation and pattern extraction.
oma-memory
Manage project memory with MEMORY.md index + modular rule packs.
oma-recall
Recall prior decisions and evidence with state-first search and bounded history fallback.