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 AgenticAIPlan/AgenticAISkills --skill bilingual-video-note-enhancergit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/bilingual-video-note-enhancer)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/bilingual-video-note-enhancer"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/bilingual-video-note-enhancer/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/agenticaiplan/agenticaiskills/bilingual-video-note-enhancer"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/bilingual-video-note-enhancer.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 | $0.00152 | $0.02385 |
| Opus 5 | $0.00076 | $0.01192 |
| Sonnet 5 | $0.00030 | $0.00477 |
| Haiku 4.5 | $0.00015 | $0.00238 |
Grade A, and why
bilingual-video-note-enhancer 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 11d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bilingual Video Note Enhancer
Enhance an English video note into a bilingual Obsidian note that stays readable, compact, and visually useful. Keep the original English source, add a concise Chinese TL;DR near the top, insert Chinese translations directly under the corresponding English blocks, and replace weak screenshots with readable content frames.
Default to Obsidian-compatible Markdown and stable asset handling. Preserve the note's existing structure unless the user explicitly asks for a larger rewrite.
Preserve Note Identity
Do not invent a new free-form title for the note unless the user explicitly asks for retitling.
Title rules:
- Preserve the existing note title by default.
- Do not append generic suffixes such as
- transcript note,- bilingual note, or similar machineish labels. - If the source title is obviously a temporary placeholder and the user wants cleanup, normalize it to the simplest stable topic title rather than a descriptive sentence.
Workflow
- Read the target note.
- Detect frontmatter, section headings, timestamp guide, transcript layout, and image embeds.
- Decide whether the note is:
- a video note with timestamps and screenshots
- a transcript note with timestamps but no screenshots
- an English article-like note that still needs bilingual enhancement
Choose Enhancement Mode
Pick the lightest mode that fully satisfies the task. Do not automatically enter the screenshot workflow just because the note contains timestamps.
- Translation-only mode: Use when the user wants Chinese TL;DR plus paragraph-level translation, and the note either has no screenshots or does not need visual upgrades.
- Screenshot-refresh mode: Use only when the note already contains screenshot embeds, the screenshots are weak, or the user explicitly asks for better visual inserts.
- Article-note mode: Use when the note is article-like or transcript-lite and should gain bilingual enhancement without being forced into a video-note structure.
- Fallback mode: Use when screenshot work would normally be relevant but local video tooling, source clips, or parallel review support are unavailable. In that case, still complete the bilingual note enhancement and preserve existing embeds rather than inventing fake screenshot updates.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/bilingual-translation-style.md 1.1 KB
- references/obsidian-note-shape.md 1.3 KB
- references/screenshot-selection-rules.md 2.8 KB
- scripts/build_contact_sheet.sh 270 B runs code
- scripts/export_selected_frame.sh 272 B runs code
- scripts/extract_video_segments.sh 548 B runs code
- scripts/update_frame_map.py 1.6 KB runs code
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.
- 11d ago First seen · 191 lines · 152 tokens per session scan A 7d31adae0ad5
bilingual-video-note-enhancer is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 152 tokens to every session and 2,385 once invoked, about $0.0008 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.
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