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 Charlesmpc/by2kb --skill video-to-knowledgegit clone --depth 1 https://github.com/Charlesmpc/by2kbWrote 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/charlesmpc/by2kb/video-to-knowledge)<a href="https://agentmods.dev/skills/charlesmpc/by2kb/video-to-knowledge"><img src="https://agentmods.dev/badge/skills/charlesmpc/by2kb/video-to-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/charlesmpc/by2kb/video-to-knowledge"><img src="https://agentmods.dev/badge/skills/charlesmpc/by2kb/video-to-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 | $0.00040 | $0.00443 |
| Opus 5 | $0.00020 | $0.00221 |
| Sonnet 5 | $0.00008 | $0.00089 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
video-to-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 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.
What it actually says
Video to knowledge
The installed Hermes plugin handles a bare Bilibili or YouTube URL automatically. For a media attachment, first save the attachment to a private temporary path, then pass that exact path as the source argument. The workflow runs the deterministic transcription stage first, then uses the Hermes host model for two bounded enrichment calls. Do not clone or inspect the by2kb repository.
For an explicit/manual request:
- Check installation with
by2kb version. If missing, use the packagedinstall-by2kbSkill. The default installation ispipx install by2kb[asr-whisper,youtube]withby2kb init --preset agent-local. - Use cloud Doubao ASR only when the user explicitly selects it. Never ask the user to send TOS or ASR credentials through an IM conversation.
- Run
by2kb ingest <URL_OR_LOCAL_PATH> --enricher external_agent --json. - Run
by2kb enrichment next <JOB_ID> --provider <HOST_PROVIDER> --model <HOST_MODEL> --json. - When status is
needs_input, follow the returned system and user prompt exactly, save the bounded response as UTF-8 Markdown, and runby2kb enrichment submit <JOB_ID> --operation-id <ID> --output-file <PATH> --provider <HOST_PROVIDER> --model <HOST_MODEL> --json. - Repeat steps 4–5 until
nextreturns statuscompleted. - Report the three knowledge-base paths: raw transcript, short abstract, and long-form study notes.
Never place model credentials in by2kb when using this path. If enrichment fails,
run by2kb enrichment fail <JOB_ID> --message <ERROR> --retryable so it can be
resumed without retranscribing.
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 · 36 lines · 40 tokens per session scan A 45bd3bcc4401
video-to-knowledge is a skill published in the GitHub repository Charlesmpc/by2kb (5 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 443 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
video-to-notes
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learn
Research a topic and grow your knowledge graph. Uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to processing pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find out about".
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Use this skill whenever the user wants to install, configure, migrate, design, or connect Obsidian as a second brain, knowledge base, cloud-synced vault, or AI/Hermes-readable memory. It is especially important when the user asks for an Obsidian setup prompt, vault architecture, folder structure, plugin…
bilibili-video-notes
A tool that turns educational or lecture videos from Bilibili, a Chinese video-sharing site, into DOCX study notes. It uses subtitles, screenshots, text recognition from images, and visual review to build the notes.
mindos
MindOS: local knowledge assistant & shared KB. Keeps decisions, notes, SOPs, debugging lessons, research findings, preferences across sessions/agents. Core: save notes, search KB, organize files, run workflows, review, append CSV, hand off context, distill lessons. NOT for app source or paths outside KB. Triggers…