bbc-skill — Bilibili Comment Collector
SkillMediaFetch 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the bbc-skill — Bilibili Comment Collector skill
What this skill tells your AI
The instructions your AI receives, as published by agents365-ai/365-skills in plugins/bbc/skills/bbc-skill/SKILL.md and read by ahel’s review.
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.
-
If
<this-skill-dir>/.last_updateexists and is less than 24 hours old, skip this step entirely. -
Otherwise, fetch the latest tag from upstream:
git -C <this-skill-dir> ls-remote --tags origin 'v*' 2>/dev/null \ | awk '{print $2}' | sed 's|refs/tags/||' \ | sort -V | tail -1 -
Compare with this skill's
metadata.versionfrom the frontmatter. If the upstream tag is strictly newer (semver), tell the user one line and ask:"A newer version of this skill is available: vX.Y.Z → vA.B.C. Want me to
git pull?"If they say yes, run
git -C <this-skill-dir> pull --ff-only. Refresh.last_updateeither way so the prompt doesn't repeat for 24 hours. -
If upstream is the same or older, refresh
.last_updatesilently and continue. -
On any failure (offline, not a git checkout — e.g. ClawHub-installed copy, read-only path, no permission), swallow the error silently and continue with the user's task. Do not mention the failure.
When to use
Trigger this skill when the user:
- Asks to get / fetch / download / export / collect / analyze comments of a specific Bilibili video (BV 号, URL, or video page).
- Asks to analyze audience feedback / sentiment / keywords / top comments / IP distribution of their own Bilibili videos.
- Provides a Bilibili URL like
https://www.bilibili.com/video/BVxxxxxxxxxx/. - Mentions their UP主 UID and wants batch analysis across their videos.
Do not use for: posting / deleting comments, downloading videos, barrage (弹幕), live stream data, or private messages.
Prerequisites
-
Python 3.9+ (stdlib only — zero pip install).
-
Bilibili cookie. The user must be logged in to bilibili.com. The recommended path:
- Install the Chrome/Edge extension Get cookies.txt LOCALLY (open-source, fully local, no upload).
- On a logged-in bilibili.com tab, click Export → save
www.bilibili.com_cookies.txt. - Pass via
--cookie-fileor set$BBC_COOKIE_FILE.
Alternatives:
$BBC_SESSDATAenv 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, flattenedsummary.json— video metadata + statistics + top-Nraw/— archived API responses.bbc-state.json— resume state
Commands
| Command | Purpose |
|---|---|
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-check | Validate 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 tablefor human-readable tables. - stderr: human log lines + NDJSON progress events for long tasks.
Exit codes
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | Runtime / API error |
| 2 | Auth error (cookie invalid / missing) |
| 3 | Validation error (bad BV number, bad flag) |
| 4 | Network 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:
- Read
summary.jsonfirst (< 10 KB) to establish global context: video metadata, total counts, time distribution, top-N. - For thematic analysis,
Greporhead/tailoncomments.jsonl— each line is a flat JSON object, never load the whole file unless small. - Typical analyses:
- Sentiment distribution → scan
messageby batch - Top fans → group by
mid, count entries, aggregatelike - UP 主互动 → filter
is_up_reply=true - Audience geography →
ip_locationhistogram - Feedback timeline → bucket
ctime_isoby day/week
- Sentiment distribution → scan
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 usedreferences/cookie-extraction.md— per-browser cookie decryptionreferences/agent-contract.md— full envelope + schema contract
Limitations
all_countreturned 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
--maxvalues or repeated runs may trigger HTTP 412. The client sleeps 1s between requests and backs off on 412.
Signals
- GitHub stars
- 46
- Forks
- 11
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
bbc-skill- Source
- github.com/agents365-ai/365-skills