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 wiki-ingestgit 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/wiki-ingest)<a href="https://agentmods.dev/skills/thoreinstein/gemini-obsidian/wiki-ingest"><img src="https://agentmods.dev/badge/skills/thoreinstein/gemini-obsidian/wiki-ingest/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/wiki-ingest"><img src="https://agentmods.dev/badge/skills/thoreinstein/gemini-obsidian/wiki-ingest.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 | $0.00064 | $0.01207 |
| Opus 5 | $0.00032 | $0.00603 |
| Sonnet 5 | $0.00013 | $0.00241 |
| Haiku 4.5 | $0.00006 | $0.00121 |
Grade A, and why
wiki-ingest 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- wiki-ingest — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiki Ingest
Distill external sources into vault-native notes following VAULT_CONVENTIONS, with provenance tracking and deduplication.
Workflow
1. Identify Sources
Accept one or more source paths from the user. Sources can be:
- Files on disk (markdown, PDF, text, transcripts)
- Vault-internal notes (Readwise highlights, working notes to promote)
- A directory to scan for ingestible files
For vault-internal sources, use obsidian_read_note. For external files, use the Read tool.
2. Check Manifest
Read .manifest.json from the vault root using Read tool.
For each source path, check if it exists in sources:
- Not present → new source, proceed to extract
- Present but source modified since
ingested_at→ re-ingest - Present and unchanged → skip (tell user "already ingested, use --force to re-process")
3. Extract Knowledge
Read the source content. Identify:
- Patterns — reusable approaches, techniques, or practices
- Traps — pitfalls, anti-patterns, things that went wrong
- Decisions — architectural or design choices with rationale
- Concepts — definitions, mental models, frameworks
For each extraction, classify its provenance:
- Extracted (unmarked) — directly stated in the source
- Inferred
^[inferred]— synthesized, generalized, or implied but not stated - Ambiguous
^[ambiguous]— source is unclear or contradicts other sources
4. Deduplicate
For each extracted concept, search the vault:
- Call
obsidian_rag_querywith the concept name/summary,limit: 5 - If a strong match exists, read the existing note with
obsidian_read_note - Decide: merge into existing note or create new note
Merge when: the existing note covers the same concept and the new source adds information. Create when: no existing note covers this concept, or the angle is sufficiently different.
5. Present Plan
Before creating or modifying any notes, present the plan to the user:
## Ingest Plan for: <source name>
### New Notes
- Engineering/Patterns/<name>.md — <one-line summary>
- Engineering/Traps/<name>.md — <one-line summary>
### Merge Into Existing
- Engineering/Patterns/<existing>.md — adding: <what's new>
### Skipped
- <concept> — already covered in [[existing-note]]
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 · 135 lines · 64 tokens per session scan A 4dabf9b17cee
wiki-ingest is a skill published in the GitHub repository thoreinstein/gemini-obsidian (102 stars, last pushed 1mo ago), licensed ISC. It adds 64 tokens to every session and 1,207 once invoked, about $0.0003 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
expert-librarian
An expert librarian that helps you organize, search, and synthesize your Readwise highlights and documents.
im-local-kb
A local knowledge-base manager for turning chat logs into organized Markdown records and sourced project documents. A knowledge base is a searchable collection of stored information.
context-optimize
Skill "context-optimize" from Joonghyun-Lee-Frieren/oh-my-antigravity, covering purpose, trigger, workflow, output template and context health.
discovery-expert
Ingests and sanitizes technical sources. Converts legacy API docs (.docx) to OpenAPI 3.0 and indexes DB schemas (.csv).
compound
Extract lessons, patterns, and architectural truths to compound team knowledge.
wiki-ingest
Use when the user wants to ingest external sources into the vault — PDFs, markdown files, transcripts, Readwise exports, or any document. Triggers on "ingest", "process document", "import into vault", "distill this", "add to vault", or "extract knowledge from".