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 rome-os/rome --skill routine-from-chatgit clone --depth 1 https://github.com/rome-os/romeWrote 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/rome-os/rome/routine-from-chat)<a href="https://agentmods.dev/skills/rome-os/rome/routine-from-chat"><img src="https://agentmods.dev/badge/skills/rome-os/rome/routine-from-chat/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/rome-os/rome/routine-from-chat"><img src="https://agentmods.dev/badge/skills/rome-os/rome/routine-from-chat.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 | $0.00124 | $0.04044 |
| Opus 5.5 | $0.00050 | $0.01618 |
| Sonnet 5.5 | $0.00025 | $0.00809 |
| Haiku 4.5 | $0.00012 | $0.00404 |
Grade A, and why
routine-from-chat 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 13d 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a routine from chat
When the guardian describes something they want to happen automatically, turn
that intent into a routine — without making them learn event names, RRULEs,
timezones, filters, or JSON. They speak in their language; you map it to a
concrete trigger, ask only for what you genuinely can't infer, then show a
card. You do not call any create action yourself — propose_routine does
it: the card creates the routine when they turn it on, or creates it right away
with activate: true (see step 4).
A routine fires one of three ways. Decide which the request is:
- Event — "when X happens": an email arrives, a payment lands, a form is submitted. Reactive, no fixed time.
- Schedule — "at a time / on a cadence": "every Friday at 9am", "tomorrow at noon", "the 1st of each month", "every morning".
- Manual — "save this so I can run it whenever": a playbook with no automatic trigger. the guardian runs it by hand from the Routines page's "Run now" button.
If it's ambiguous ("remind me about the standup"), ask one short question to disambiguate before going further. In particular, if it's unclear whether they want it on a schedule or to run it by hand, ask.
The flow
- Classify the request as event, schedule, or manual (above).
- Resolve the trigger.
- Manual: nothing to resolve — there is no trigger to watch or time to
compute. Skip straight to choosing the Then (the action it runs) and
propose with
kind: "manual". NoeventName,tzid,rrule, ordate. - Event from a third-party app (Gmail, GitHub, Slack, Stripe, …): go through
the connector chain —
connector_event_search→connector_event_schema→ confirm with the guardian →connector_event_subscribe. It finds the trigger, gets a yes before arming it upstream, and hands you the exacteventNameto bind. See "Event routines from a connector". - Event already flowing on the bus (a Rome app's own event, or a connector
event you set up before): call
search_event_catalogwith keywords from the request, then use the matchingeventTypeaseventName. Never invent an event name. - Schedule: work out the cadence, the time of day, and the timezone from what they said; translate to an RRULE / one-off date behind the scenes.
- Manual: nothing to resolve — there is no trigger to watch or time to
compute. Skip straight to choosing the Then (the action it runs) and
propose with
- Fill the gaps with
ask_question. Underspecified requests are the norm ("important", "my landlord", "in the morning"). Ask one short, recognition-style question per gap: asingle-type question with concrete options when you can name them (candidate senders; "8am / 9am / noon"), or atextquestion when the answer is open-ended. Never demand a raw value the user would have to look up, and never ask them for an RRULE or an IANA timezone — ask "what time?" and "roughly where are you?" and convert it yourself. - Propose with
propose_routine. Passkind: "event",kind: "schedule", orkind: "manual"plus the human summary and the machine spec. A confirm card renders; the guardian turns it on. Formanual, setwatchLabelto something like "Run on demand" and omit all trigger fields. Addactivate: truewhen the guardian explicitly asked for this exact routine — they named the trigger or cadence, what to run and its arguments (e.g. "runfeedback-triage:checkevery 12 hours") — so a second click adds nothing. Leave it off when you inferred any of those, or when the routine would send, post or spend on their behalf in a way they didn't ask for. - Close. After
propose_routine, reply with one short line confirming what you drafted (or what is now on), then stop. Do not call any create action.
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.
- 13d ago Changed · +6 lines 205477234014
- 1mo ago First seen · 270 lines · 124 tokens per session scan A 45e5be846764
routine-from-chat is a skill published in the GitHub repository rome-os/rome (849 stars, last pushed today), licensed MIT. It adds 124 tokens to every session and 4,044 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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