Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ignromanov/llm-obsidian-wiki/plugin install llm-obsidian-wikiWrote 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/ignromanov/llm-obsidian-wiki/capture)<a href="https://agentmods.dev/skills/ignromanov/llm-obsidian-wiki/capture"><img src="https://agentmods.dev/badge/skills/ignromanov/llm-obsidian-wiki/capture/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/ignromanov/llm-obsidian-wiki/capture"><img src="https://agentmods.dev/badge/skills/ignromanov/llm-obsidian-wiki/capture.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 | $0.00069 | $0.00933 |
| Opus 5 | $0.00034 | $0.00466 |
| Sonnet 5 | $0.00014 | $0.00187 |
| Haiku 4.5 | $0.00007 | $0.00093 |
Grade A, and why
capture 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 10d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capture — Universal Source Intake
Purpose
Ingest one source into raw/<type>/<slug>.<ext> (immutable, SHA-256 hashed) and create wiki/sources/<slug>.md (source-summary with key_claims[]).
Used by wiki-scribe (primary, passive intake) and wiki-researcher (via research workflow).
Trigger phrases (agent perspective)
- "capture this URL"
- "save this PDF"
- "intake source"
- "file clipboard"
- "hash and store this"
- "wiki-scribe should ingest X"
Inputs
One of:
- URL (any https://)
- YouTube link
- GitHub link (issue / PR / repo)
- PDF (path or URL)
- Raw text (clipboard, session log, transcript)
Outputs
Two files per capture:
raw/<type>/<slug>.<ext>— immutable, SHA-256 in frontmatter, full contentwiki/sources/<slug>.md— source-summary withkey_claims: [{quote, anchor, confidence}],quality,captured_by
Workflow
-
Detect source type from URL or path:
*.pdf→ capture-pdf.shyoutube.com/*oryoutu.be/*→ capture-youtube.shgithub.com/*/issues/*or*/pull/*→ capture-github.shgithub.com/*/pulls→ capture-prs.sh- text without URL → capture-text.sh
- other URL → capture-url.sh
-
Invoke the appropriate script with
--vault $VAULT_PATHand--source $INPUT. Scripts handle SHA-256 and frontmatter. -
Extract
key_claimsfor source-summary:- If source <500 words: preserve full content as single claim
- If 500–5000 words: top-5 verbatim quotes with anchors (paragraph index)
- If >5000 words: top-10 quotes with anchors
-
Set
qualityfield in source-summary:highif extraction succeeded with >500 charsmediumif 200-500 chars (paywall preview, partial)lowif <200 chars or extraction errors
-
Set
captured_byto invoking agent name (wiki-scribeorwiki-researcher).
Web→MD stack (for capture-url.sh)
The script tries three extractors in order:
defuddle(Node CLI, MIT, local) — primarytrafilatura(Python CLI, Apache-2.0, local) — fallback if defuddle fails OR content <500 charsr.jina.ai(cloud) — opt-in via envWIKI_ALLOW_CLOUD=1
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.
- 10d ago First seen · 94 lines · 69 tokens per session scan A acf40ddc1337
capture is a skill published in the GitHub repository ignromanov/llm-obsidian-wiki (19 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 933 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…