MCPInstall

bbc-skill

by agents365-aiMedia & Creative

Fetch Bilibili (哔哩哔哩) video comments for UP主 self-analysis. Use when the user asks to collect, download, export, or analyze comments on a Bilibili video (BV号 / URL / UID). Produces JSONL + summary.json suitable for further Claude Code analysis (sentiment, keywords, audience trends). Read-only; does not post/edit/delete.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/agents365-ai/365-skills --skill bbc-skill
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads bbc-skill automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

bbc-skill — Bilibili Comment Collector

Download all comments (top-level + nested + pinned) for a Bilibili video and produce data that Claude Code can analyze downstream.

Update check

Throttle to one check per 24 hours per installation; never mutate the skill directory without explicit user consent.

  1. If <this-skill-dir>/.last_update exists and is less than 24 hours old, skip this step entirely.

  2. Otherwise, fetch the latest tag from upstream:

    git -C <this-skill-dir> ls-remote --tags origin 'v*' 2>/dev/null \
  | awk '{print $2}' | sed 's|refs/tags/||' \
  | sort -V | tail -1

  3. Compare with this skill's metadata.version from the frontmatter. If the upstream tag is strictly newer (semver), tell the user one line and ask:

    "A newer version of this skill is available: vX.Y.Z → vA.B.C. Want me to git pull?"

    If they say yes, run git -C <this-skill-dir> pull --ff-only. Refresh .last_update either way so the prompt doesn't repeat for 24 hours.

  4. If upstream is the same or older, refresh .last_update silently and continue.

  5. On any failure (offline, not a git checkout — e.g. ClawHub-installed copy, read-only path, no permission), swallow the error silently and continue with the user's task. Do not mention the failure.

When to use

Trigger this skill when the user:

  • Asks to get / fetch / download / export / collect / analyze comments of a specific Bilibili video (BV 号, URL, or video page).
  • Asks to analyze audience feedback / sentiment / keywords / top comments / IP distribution of their own Bilibili videos.
  • Provides a Bilibili URL like https://www.bilibili.com/video/BVxxxxxxxxxx/.
  • Mentions their UP主 UID and wants batch analysis across their videos.

Do not use for: posting / deleting comments, downloading videos, barrage (弹幕), live stream data, or private messages.

Prerequisites

  1. Python 3.9+ (stdlib only — zero pip install).

  2. Bilibili cookie. The user must be logged in to bilibili.com. The recommended path:

    • Install the Chrome/Edge extension Get cookies.txt LOCALLY (open-source, fully local, no upload).
    • On a logged-in bilibili.com tab, click Export → save www.bilibili.com_cookies.txt.
    • Pass via --cookie-file or set $BBC_COOKIE_FILE.

    Alternatives:

    • $BBC_SESSDATA env var with just the SESSDATA value.
    • Browser auto-detection (Firefox / Chrome / Edge on macOS) via --browser auto. Works best for Firefox; Chrome/Edge needs a logged-in profile with cookies flushed to disk.

Auth delegation (Principle 7): the skill never runs OAuth flows. The human is expected to log in via browser; the agent only consumes the resulting cookie.

Quick start

Before any fetch, verify the cookie works:

python3 -m bbc cookie-check

Success envelope (stdout):

{"ok":true,"data":{"mid":441831884,"uname":"探索未至之境","vip":false}}

Fetch all comments for a single video:

python3 -m bbc fetch BV1NjA7zjEAU

Or pass a URL:

python3 -m bbc fetch "https://www.bilibili.com/video/BV1NjA7zjEAU/"

Output (default ./bilibili-comments/<BV>/):

  • comments.jsonl — one comment per line, flattened
  • summary.json — video metadata + statistics + top-N
  • raw/ — archived API responses
  • .bbc-state.json — resume state

Commands

CommandPurpose
bbc fetch <BV|URL>Fetch all comments for one video
bbc fetch-user <UID>Batch fetch all videos of a UP主
bbc summarize <dir>Rebuild summary.json from existing comments.jsonl
bbc cookie-checkValidate cookie; print logged-in user
bbc schema [cmd]Return JSON schema for commands (for agent discovery)

Call bbc <cmd> --help or bbc schema <cmd> for full parameter details — do not guess flag names.

Agent contract

Stdout vs stderr

  • stdout: stable JSON envelope {"ok":true,"data":...} or {"ok":false,"error":...}. JSON is the default when stdout is not a TTY. Pass --format table for human-readable tables.
  • stderr: human log lines + NDJSON progress events for long tasks.

Exit codes

CodeMeaning
0Success
1Runtime / API error
2Auth error (cookie invalid / missing)
3Validation error (bad BV number, bad flag)
4Network error (timeout / retries exhausted)

Error envelope

{
  "ok": false,
  "error": {
    "code": "auth_expired",
    "message": "SESSDATA 已过期，请重新登录 B 站",
    "retryable": true,
    "retry_after_auth": true
  }
}

Error codes: validation_error, auth_required, auth_expired, not_found, rate_limited, api_error, network_error. See bbc schema for the full contract.

Dry-run

Every fetch command supports --dry-run to preview the planned request without making network calls:

python3 -m bbc fetch BV1NjA7zjEAU --dry-run

Idempotency

Re-running the same fetch command on the same output directory resumes from .bbc-state.json (skips already-fetched pages). Pass --force to refetch.

Analysis workflow (for the agent)

After fetch completes:

  1. Read summary.json first (< 10 KB) to establish global context: video metadata, total counts, time distribution, top-N.
  2. For thematic analysis, Grep or head/tail on comments.jsonl — each line is a flat JSON object, never load the whole file unless small.
  3. Typical analyses:
    • Sentiment distribution → scan message by batch
    • Top fans → group by mid, count entries, aggregate like
    • UP 主互动 → filter is_up_reply=true
    • Audience geography → ip_location histogram
    • Feedback timeline → bucket ctime_iso by day/week

The summary.json schema is documented in references/agent-contract.md. Run the skill against any video to produce a real sample locally.

Safety tier

All commands are read-only (tier: open). No mutation, no deletion, no message sending. Dry-run available for all fetch commands.

References

  • references/api-endpoints.md — Bilibili API fields used
  • references/cookie-extraction.md — per-browser cookie decryption
  • references/agent-contract.md — full envelope + schema contract

Limitations

  • all_count returned by the API includes pinned comments. Completeness check: top_level + nested + pinned == declared_all_count.
  • Very old comments (>2 years) may return thin data if the user was deleted.
  • Anti-bot: aggressive --max values or repeated runs may trigger HTTP 412. The client sleeps 1s between requests and backs off on 412.

FAQ

What does the bbc-skill skill do?

Fetch Bilibili (哔哩哔哩) video comments for UP主 self-analysis. Use when the user asks to collect, download, export, or analyze comments on a Bilibili video (BV号 / URL / UID). Produces JSONL + summary.json suitable for further Claude Code analysis (sentiment, keywords, audience trends). Read-only; does not post/edit/delete.

How do I install bbc-skill?

Run npx skills add https://github.com/agents365-ai/365-skills --skill bbc-skill in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/bbc-skill/ (personal) or .claude/skills/bbc-skill/ (project).

Which AI agents can use bbc-skill?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is bbc-skill safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains bbc-skill?

It is published by agents365-ai in agents365-ai/365-skills. It has 266 recorded installs.

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