Borrowing it
Nothing to install: this file belongs to slowww-ai/second-brain. 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/slowww-ai/second-brain/main/.claude/skills/jina-capture/SKILL.mdgit clone --depth 1 https://github.com/slowww-ai/second-brainWrote 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/slowww-ai/second-brain/jina-capture)<a href="https://agentmods.dev/skills/slowww-ai/second-brain/jina-capture"><img src="https://agentmods.dev/badge/skills/slowww-ai/second-brain/jina-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/slowww-ai/second-brain/jina-capture"><img src="https://agentmods.dev/badge/skills/slowww-ai/second-brain/jina-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 | $0.00110 | $0.01207 |
| Opus 5.5 | $0.00044 | $0.00483 |
| Sonnet 5.5 | $0.00022 | $0.00241 |
| Haiku 4.5 | $0.00011 | $0.00121 |
Grade A, and why
jina-capture scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "https://r.jina.ai/<url>" -o /tmp/jina.md How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capture (Jina + YouTube)
Turn any URL into a stamped markdown file in wiki/raw/. Two backends, one contract:
- Web pages → Jina Reader (
https://r.jina.ai/<url>) returns the page as clean markdown. - YouTube videos →
scripts/yt_capture.pysaves the transcript (manual captions preferred, auto-generated fallback; language priorityko,en).
When to use
- User provides a URL and wants it captured into the second brain.
- User says "save this", "capture this", "add to raw", "read this later", etc., alongside a link.
- User gives a YouTube link and wants the transcript saved.
- Bulk import of a list of URLs (mixed article/YouTube lists are fine — route each one).
Steps
-
Confirm target folder. Default is
wiki/raw/in the current project (the second brain repo). If the user is not in that repo, ask where to save. -
Route by URL type. If the URL matches
youtube.com/watch,youtu.be/,youtube.com/shorts/,youtube.com/embed/, oryoutube.com/live/, take the YouTube branch (step 3). Everything else takes the Jina branch (step 4). -
YouTube branch. Run the capture script — it handles everything (oEmbed title/channel, transcript fetch, paragraphing with
[mm:ss]markers, frontmatter, slug collisions):.venv/bin/python scripts/yt_capture.py <url> [<url> ...]- Multiple YouTube URLs can be passed in one call; it prints one
saved:line per file. - To change transcript language priority:
--langs ko,en(that's the default). - If it errors with "transcripts are disabled" or "no transcript found", tell the user; offer
yt-dlpor Whisper transcription as the fallback only if they want to pursue it. - Skip to step 6 (report back).
- Multiple YouTube URLs can be passed in one call; it prints one
-
Jina branch — fetch the markdown. For each URL:
- Construct
https://r.jina.ai/<url>(do not URL-encode the target — Jina expects the raw URL appended). - Use the WebFetch tool to retrieve it. Ask for the full markdown body.
- If WebFetch summarizes instead of returning raw content, fall back to:
and readcurl -sL "https://r.jina.ai/<url>" -o /tmp/jina.md/tmp/jina.md.
- Construct
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 Changed · +19 lines · +32 tokens per session 88ce1b04040a
- 2mo ago First seen · 65 lines · 78 tokens per session scan A 9fb61514e13b
jina-capture is a skill published in the GitHub repository slowww-ai/second-brain (10 stars, last pushed 1mo ago), licensed MIT. It adds 110 tokens to every session and 1,207 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
jina-capture compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| jina-captureslowww-ai/second-brain | Skill | 10 | 1mo ago | MIT | A | 110 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |