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 jezweb/vite-flare-starter --skill caretakergit clone --depth 1 https://github.com/jezweb/vite-flare-starterWrote 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/jezweb/vite-flare-starter/caretaker)<a href="https://agentmods.dev/skills/jezweb/vite-flare-starter/caretaker"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/caretaker/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/jezweb/vite-flare-starter/caretaker"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/caretaker.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 | $0.00074 | $0.01325 |
| Opus 5.5 | $0.00030 | $0.00530 |
| Sonnet 5.5 | $0.00015 | $0.00265 |
| Haiku 4.5 | $0.00007 | $0.00133 |
Grade A, and why
caretaker 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caretaker — daily rotating focus sweep
Catches drift before it becomes urgent. Provides "what to do today" so an agent always has real outward work — never coasts on "monitoring continues."
When this fires
Daily, once per day in the morning (recommended cadence: 06:00 user-local). Different from heartbeat / reactive cycles — caretaker is one focused outward sweep per day.
Wire as a routine targeting AssistantAgent with loadSkills: ['caretaker'] and cron: '0 6 * * *' (or local equivalent).
The rotation
Each day-of-week gets a different focus. Adapted to the entities and modules in vite-flare-starter:
| Day | Focus | What to do |
|---|---|---|
| Mon | Connections | Walk mcp_connections rows. Any expired tokens? Any unused for 14+ days? Any test connections leaked into prod? Surface as findings. |
| Tue | Routines | Walk routines table via list_routines. Any routines that errored 3+ times this week? Any with no runs at all? Any whose lastRunCost exceeds budget? Surface findings. |
| Wed | Skills | Walk skills via list_skills. Any skills not loaded in 30+ days (check tool-usage stats)? Any skills with descriptions missing "Use when…"? Surface as findings. |
| Thu | Memories | memory_search for memories older than 90d with low recall_count. Candidates for archive. Surface count + IDs as a finding. |
| Fri | Findings audit | Walk findings with status='open' older than 30d. Stale opens are red flags — promote, dismiss, or extend explicitly. |
| Sat | Cross-cutting | Read findings across ALL agents this week. Look for cross-cutting patterns (same gotcha discovered by multiple agents). Promote shared patterns to learnings. |
| Sun | Weekly summary | Distil the week into one paragraph: what shipped, what landed, what's open, what's queued. Write to inbox via inbox_add with importance='medium'. |
For non-developer agents, adapt the rotation to the agent's surface area (e.g. for a customer support agent: Mon=tickets / Tue=common asks / Wed=knowledge gaps / etc).
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 · 140 lines · 74 tokens per session scan A b6a030589b8c
caretaker is a skill published in the GitHub repository jezweb/vite-flare-starter (49 stars, last pushed 22d ago), licensed MIT. It adds 74 tokens to every session and 1,325 once invoked, about $0.0003 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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