bilibili

bilibili is a skill for Claude Code, Codex from imoonkey/openweb. It costs 0 tokens per session (1,466 once invoked), scanned A, original, MIT.

A tool for Bilibili, a Chinese video-sharing and social platform similar to YouTube. It can browse videos, inspect details and comments, search creators' content, and manage likes and favourites.

In plain words
What is it for?
Finding popular or specific videos, reading comments and on-screen bullet comments, viewing creator profiles, and liking or saving videos.
Why use it?
It brings video discovery and basic account interactions into coding-agent workflows instead of requiring separate manual browsing.

Skill for Claude CodeCodex

Part of the openweb plugin — 56 skills shipped together

Install

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.

agentmods
npx agentmods add skills/imoonkey/openweb/bilibili
Any agent
npx skills add imoonkey/openweb --skill bilibili
Clone the repo
git clone --depth 1 https://github.com/imoonkey/openweb

Made for: Claude Code, Codex.

Or install openweb, the plugin that ships this one along with the rest of its 56 skills.

Wrote 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.

agentmods badge for bilibili

README.md
[![agentmods](https://agentmods.dev/badge/skills/imoonkey/openweb/bilibili.svg)](https://agentmods.dev/skills/imoonkey/openweb/bilibili)
Your own site
<a href="https://agentmods.dev/skills/imoonkey/openweb/bilibili"><img src="https://agentmods.dev/badge/skills/imoonkey/openweb/bilibili.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,466 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01466
Opus 5 $0.00000 $0.00733
Sonnet 5 $0.00000 $0.00293
Haiku 4.5 $0.00000 $0.00147

Measured 3d ago against content hash ae9887069e0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bilibili 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (adapters/bilibili-web.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/sites/bilibili/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bilibili

Overview

Chinese video sharing and social platform (similar to YouTube). Archetype: Chinese Web / Video + Social.

Workflows

Browse trending and drill into a video

  1. getPopularVideos() → browse trending → bvid, aid
  2. getVideoDetail(bvid) → full metadata, stats → aid, cid, owner.mid
  3. getVideoComments(oid=aid, type=1) → comments with rpid, text, likes
  4. getDanmaku(oid=cid) → bullet comments (弹幕) with content, progress_ms

Search and engage

  1. searchVideos(keyword) → results → bvid, author.mid
  2. getVideoDetail(bvid) → full video info → aid, cid, owner.mid
  3. likeVideo(aid=aid) → engage (requires auth + write)
  4. unlikeVideo(aid=aid) → undo engagement

Favorite a video (chains via favorite folder)

  1. listFavoriteFolders() → user's folders → data.list[0].id (folder media_id)
  2. getVideoDetail(bvid)aid
  3. addToFavorites(rid=aid, add_media_ids=${prev.listFavoriteFolders.data.list.0.id}) → add (requires auth + write)
  4. removeFromFavorites(rid=aid, del_media_ids=${prev.listFavoriteFolders.data.list.0.id}) → undo

Explore a creator's content

  1. getUserProfile(mid) → bio, level, follower count → mid
  2. searchUserVideos(mid) → paginated list of uploads → bvid, title, play count

Follow/unfollow flow

  1. searchVideos(keyword)author.mid or getUserProfile(mid) → confirm user → mid
  2. followUploader(fid=mid) → follow
  3. unfollowUploader(fid=mid) → unfollow

Operations

Operation Intent Key Input Key Output Notes
getPopularVideos browse trending videos pn, ps bvid, aid, title, play count, uploader, duration entry point, no auth needed
searchVideos find videos by keyword keyword bvid, title, author.mid, play, danmaku, duration adapter op, slower
getVideoDetail full video metadata + stats bvid <- getPopularVideos/searchVideos title, desc, aid, cid, owner.mid, play/like/coin/fav stats wbi-signed
getVideoComments read comments with replies oid (=aid) <- getVideoDetail, type=1 rpid, text, author, likes, reply_count, timestamp wbi-signed
getDanmaku bullet comments (弹幕) oid (=cid) <- getVideoDetail, segment_index content, progress_ms, mode, color, ctime adapter op, protobuf decoded
getUserProfile user bio, level, stats mid <- searchVideos.author.mid / getVideoDetail.owner.mid name, sign, level, face, fans_medal wbi-signed
searchUserVideos user's uploaded videos mid <- getUserProfile, pn, ps title, play, duration, bvid, created wbi-signed
getRecommendedFeed personalized feed ps bvid, title, play, uploader, duration entry point
listFavoriteFolders list user's favorite folders data.list[].id (folder media_id), title, media_count entry point for favorite chains, requires auth
likeVideo like a video aid <- getVideoDetail, like=1 code, message write, requires auth
unlikeVideo unlike a video aid <- getVideoDetail code, message write, reverse of likeVideo
addToFavorites add video to favorites rid (=aid) <- getVideoDetail, add_media_ids <- listFavoriteFolders.data.list[0].id code, message write, requires auth
removeFromFavorites remove from favorites rid (=aid) <- getVideoDetail, del_media_ids <- listFavoriteFolders.data.list[0].id code, message write, reverse of addToFavorites
followUploader follow a user fid (=mid) <- getUserProfile/getVideoDetail.owner.mid code, message write, requires auth
unfollowUploader unfollow a user fid (=mid) <- getUserProfile/getVideoDetail.owner.mid code, message write, reverse of followUploader

Read the full file on GitHub · 100 lines

Changes

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.

  1. 3d ago First seen · 100 lines · 0 tokens per session scan A ae9887069e0b

Subscribe to this mod's changes

bilibili is a skill published in the GitHub repository imoonkey/openweb (58 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,466 tokens. 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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