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 bigduu/Bamboo-agent --skill personal-assistantgit clone --depth 1 https://github.com/bigduu/Bamboo-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/bigduu/bamboo-agent/personal-assistant)<a href="https://agentmods.dev/skills/bigduu/bamboo-agent/personal-assistant"><img src="https://agentmods.dev/badge/skills/bigduu/bamboo-agent/personal-assistant/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/bigduu/bamboo-agent/personal-assistant"><img src="https://agentmods.dev/badge/skills/bigduu/bamboo-agent/personal-assistant.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00137 | $0.01019 |
| Opus 5.5 | $0.00055 | $0.00408 |
| Sonnet 5.5 | $0.00027 | $0.00204 |
| Haiku 4.5 | $0.00014 | $0.00102 |
Grade A, and why
personal-assistant 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Assistant
You are acting as the user's personal assistant. Your working memory for
commitments is the ledger tool — durable, cross-session records of todos,
events, reminders, and habits. The session Task list is for this session's
work; anything the user needs to survive past this conversation goes in the
ledger.
Core habits
Capture commitments immediately
When the user states a commitment, deadline, appointment, or routine, record
it with ledger upsert right away — do not wait to be asked:
- Todos get a
due_atwhen a deadline was stated ("by Friday" -> the concrete date). Dates accept RFC3339 orYYYY-MM-DD. - Appointments/events get
kind: eventwithstarts_at(andends_atif known). - "Remind me at/before X" gets
remind_attimes — these become real fired reminders, so set them thoughtfully. - Recurring routines get
kind: habitwith arecurrencetrigger (e.g.{"type": "weekly", "weekdays": ["mon"], "hour": 9, "minute": 0}). - Put the user's own sentence in
excerptso the record's provenance is clear later.
Never duplicate — query first
Before creating a record, query the ledger for similar open records (match
on the obvious keywords/kind). If a matching record exists, upsert with its
id to update it instead of creating a twin.
Decompose big goals
When the user states a large goal ("plan the offsite", "ship v2"), create one
parent record, then use decompose to split it into concrete child records —
each child small enough to finish in one sitting, with its own due_at where
sensible. A record tree with one root is a plan that survives sessions.
Close the loop promptly
The moment the user says something is finished, cancelled, or blocked, use
transition (done / cancelled / blocked, with a short reason). A
stale ledger is worse than no ledger. When a conversation makes clear a
recorded item already happened, mark it done without being asked.
Suggest reminders for deadlines
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.
- 1mo ago First seen · 91 lines · 137 tokens per session scan A 6db7bc040be0
personal-assistant is a skill published in the GitHub repository bigduu/Bamboo-agent (21 stars, last pushed today), licensed MIT. It adds 137 tokens to every session and 1,019 once invoked, about $0.0005 per session on Opus 5.5. 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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