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/joaquinbejar/ai-crew-sync/catchupgit clone --depth 1 https://github.com/joaquinbejar/ai-crew-syncWrote 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/commands/joaquinbejar/ai-crew-sync/catchup)<a href="https://agentmods.dev/commands/joaquinbejar/ai-crew-sync/catchup"><img src="https://agentmods.dev/badge/commands/joaquinbejar/ai-crew-sync/catchup.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00013 | $0.00210 |
| Opus 5 | $0.00006 | $0.00105 |
| Sonnet 5 | $0.00003 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
catchup 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.
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
Catch me up on the crew bus.
Steps:
- Call
whoamito see unread DMs and my open claimed tasks. - Call
read_messagesfor my direct messages (mark them read) and skim the main channels for the last $ARGUMENTS hours (default 8) withread_messageson each active channel fromlist_channels. - Call
team_digestfor the same window.
Then give me:
- Anything addressed to me (DMs, mentions, questions waiting on me) — first and most prominent.
- Decisions or announcements I should know about.
- Changes to tasks I claimed or created.
- A one-line "nothing needs you" if that is the honest answer.
Do not start any work from this command — just report. If something urgent is waiting on me, propose the next action and ask before doing it.
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.
- 3d ago First seen · 20 lines · 13 tokens per session scan A 47b9b40f3ef4
catchup is a command published in the GitHub repository joaquinbejar/ai-crew-sync (4 stars, last pushed 21d ago), licensed MIT. It adds 13 tokens to every session and 210 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
buzz-crawling
外部舆情策略更新全流程 — /buzz-crawling run 启动外部舆情策略更新全流程.
cct-sop-alert
营销智评分流（告警测试） — 测试钉钉告警通知的分流工作流，botId带test前缀会触发失败.
kf-direct-support
TeamClaw 直接技能支持 — 直接调用 teamclaw-support 技能处理用户问题，跳过多阶段编排.
riskreview
The user invoked the /riskreview facade command from the risk-review-pipeline pack.
twining:export
Export Twining state as markdown for context handoff or archival.
twining:status
Show Twining project coordination status.