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 agentmods add commands/jsyzlbw/bbwatch/bb-setupgit clone --depth 1 https://github.com/jsyzlbw/bbwatchWhat 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 | $0.00017 | $0.00151 |
| Opus 5 | $0.00009 | $0.00076 |
| Sonnet 5 | $0.00003 | $0.00030 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
bb-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
向用户索取 学号@link.cuhk.edu.cn 与密码。拿到后，把凭据放进环境变量（避免明文出现在命令参数里）并运行：
BBWATCH_USERNAME='学号@link.cuhk.edu.cn' BBWATCH_PASSWORD='密码' "${CLAUDE_PLUGIN_DATA}/.venv/bin/bbwatch" setup
随后运行 "${CLAUDE_PLUGIN_DATA}/.venv/bin/bbwatch" doctor 确认配置成功。提醒用户：密码只存于本机 macOS 钥匙串。
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.
- yesterday First seen · 12 lines · 17 tokens per session scan A a31aef5e3ce9
bb-setup is a command published in the GitHub repository jsyzlbw/bbwatch (1 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 151 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
blackboard
Read or write a Network-AI blackboard key (shared multi-agent state).
status
Show Network-AI swarm status — blackboard snapshot, budget, and recent audit activity.
audit
Query the Network-AI append-only audit trail.
budget
Check the Network-AI federated token budget and recent spend.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.