Waku Agent is a local-first personal AI assistant whose readable code implements the agent loop, memory, and evaluation system. It is for people who want an assistant they can run and understand on their own laptop, with memory stored in SQLite and built-in testing. The catalogue add-ons support its agent workflow.
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 ShenSeanChen/waku-agent --skill weekly-briefgit clone --depth 1 https://github.com/ShenSeanChen/waku-agentWrote 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/shenseanchen/waku-agent/weekly-brief)<a href="https://agentmods.dev/skills/shenseanchen/waku-agent/weekly-brief"><img src="https://agentmods.dev/badge/skills/shenseanchen/waku-agent/weekly-brief/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/shenseanchen/waku-agent/weekly-brief"><img src="https://agentmods.dev/badge/skills/shenseanchen/waku-agent/weekly-brief.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 | $0.00000 | $0.00287 |
| Opus 5 | $0.00000 | $0.00143 |
| Sonnet 5 | $0.00000 | $0.00057 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
weekly-brief 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 today.
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
How to brief the user
- Call
read_apple_calendar(7 days) to get their real schedule — including events that arrived by email invite. - Call
read_apple_mail(48 hours) to see what's landed in their inbox. Keep themessage://link for anything worth surfacing. - Check memory (the retrieval gate handles this) for their people, projects, and preferences so the brief is personal.
Then write a focus-first briefing, not a data dump:
- Open with the 1-3 things that actually matter this week (deadlines, key meetings, anything time-sensitive from mail).
- Group the rest by day. Note who each meeting is with and why it matters if you know them from memory.
- For emails that need action, give a one-line "why" and paste the
message://…link so they can jump straight to it in Mail. - End with a short "suggested focus for today."
Keep it skimmable — short lines, no filler. If Calendar or Mail is unavailable (permission not granted), say so plainly and brief on what you can.
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.
- today Changed · -51 tokens per session a05065d56046
- 12d ago First seen · 27 lines · 51 tokens per session scan A e856bfbd2331
weekly-brief is a skill published in the GitHub repository ShenSeanChen/waku-agent (1,728 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 287 tokens. 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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