OpenBiliClaw is a local, open-source AI agent that learns a person's interests and discovers content across multiple social platforms and the open web. It is for people who want personalized content recommendations with their usage data kept on their own machine.
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 whiteguo233/OpenBiliClaw --skill openbiliclaw-adaptergit clone --depth 1 https://github.com/whiteguo233/OpenBiliClawWrote 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/whiteguo233/openbiliclaw/openbiliclaw-adapter)<a href="https://agentmods.dev/skills/whiteguo233/openbiliclaw/openbiliclaw-adapter"><img src="https://agentmods.dev/badge/skills/whiteguo233/openbiliclaw/openbiliclaw-adapter/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/whiteguo233/openbiliclaw/openbiliclaw-adapter"><img src="https://agentmods.dev/badge/skills/whiteguo233/openbiliclaw/openbiliclaw-adapter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.02303 |
| Opus 5 | $0.00020 | $0.01151 |
| Sonnet 5 | $0.00008 | $0.00461 |
| Haiku 4.5 | $0.00004 | $0.00230 |
Grade A, and why
openbiliclaw-adapter 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- openbiliclaw-adapter — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenBiliClaw Agent Bridge Skill
Use this skill when you are inside the OpenBiliClaw workspace and need current state or want to push feedback back into the learning loop. The bridge is host-neutral: OpenClaw, Hermes and WorkBuddy use the same JSON contract.
Deployment Choice
Choose deployment by target machine capability:
- Docker available: prefer Docker
- No Docker: use local Python deployment
Bootstrap
Docker-first
Run:
docker compose up -d --build
docker exec -it openbiliclaw-backend openbiliclaw init
Keep the repository checkout available so the host can discover this workspace skill.
Local fallback
If Docker is unavailable, bootstrap locally:
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
cp config.example.toml config.toml
Then initialize OpenBiliClaw once:
openbiliclaw init
If config.toml is still missing API Key or B 站 Cookie and the terminal is interactive, openbiliclaw init will guide the operator through setup. After init, verify the adapter bridge:
uv run python -m openbiliclaw.integrations.openclaw.cli doctor
For a longer setup guide, read docs/openclaw-quickstart.md and docs/agent-integration.md.
Command Bridge
Always call the adapter through the JSON CLI bridge:
uv run python -m openbiliclaw.integrations.openclaw.cli <command> [flags]
Supported commands:
capabilities— negotiateagent-bridge/v2and the complete capability list before caching toolssync-accountget-profilerecommend --limit 5 [--source-platform <platform>] [--exclude-item-id <id>] [--realtime]reshuffle/append— replace or append precomputed recommendation pagesget-delight/respond-delight— view, like, dislike, dismiss or chat about a surpriseactivity-feed/platform-availabilitynext-probe— get the next speculative-interest hypothesis to ask the user aboutrespond-interest-probe --domain "..." --response confirm|reject|defer|chat [--message "..."]next-avoidance-probe/respond-avoidance-probe --domain "..." --response confirm|reject|defer|chatchat --message "..." [--session openclaw]— durable Socratic dialogue turnchat-history [--session openclaw]profile-edit-state/edit-profile— read or update deterministic profile overlayssave-local,list-saved,remove-saved— local-first saved listssync-saved --allow-state-changing— explicitly authorized native-save synchronizationruntime-statussubmit-feedback --recommendation-id 7 --feedback-type like --request-id feedback-7-like-1 --note "很对胃口"listen— long-running WebSocket stream for real-time push events (see below)
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 · 221 lines · 40 tokens per session scan A 11bfeaa84631
openbiliclaw-adapter is a skill published in the GitHub repository whiteguo233/OpenBiliClaw (3,278 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 2,303 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 2026-08-30.
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