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 receptron/mulmoclaude --skill mc-manage-automationsgit clone --depth 1 https://github.com/receptron/mulmoclaudeWrote 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/receptron/mulmoclaude/mc-manage-automations)<a href="https://agentmods.dev/skills/receptron/mulmoclaude/mc-manage-automations"><img src="https://agentmods.dev/badge/skills/receptron/mulmoclaude/mc-manage-automations/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/receptron/mulmoclaude/mc-manage-automations"><img src="https://agentmods.dev/badge/skills/receptron/mulmoclaude/mc-manage-automations.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 | $0.00199 | $0.01741 |
| Opus 5.5 | $0.00080 | $0.00696 |
| Sonnet 5.5 | $0.00040 | $0.00348 |
| Haiku 4.5 | $0.00020 | $0.00174 |
Grade A, and why
mc-manage-automations 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automations manager
A bundled MulmoClaude preset skill (mc- prefix = launcher-managed; do not edit
this file in the workspace, it is overwritten on every server boot).
Help the user schedule recurring agent tasks — the things that wake the agent
up on a cron / interval to run a fixed prompt. State lives in a single JSON
array at config/scheduler/tasks.json (cwd-relative; the agent runs with cwd
set to the workspace root, so every path in this file is plain cwd-relative);
the auto-refresh hook re-registers tasks after every Write/Edit so changes
take effect immediately.
End with a one-line confirmation ("Scheduled weather-morning, daily 07:00 UTC." / "Stopped weekly-cleanup.") so the user can verify without scrolling.
First: is this just refreshing ONE collection?
Before writing a tasks.json automation, check what the recurring work
actually is. If it's "keep one collection's records up to date" — refresh
stock quotes, re-poll a set of watched URLs, pull fresh figures for every row —
do NOT create an automation here. Add an ingest block to that
collection's own schema.json instead:
"ingest": {
"kind": "agent",
"schedule": "daily",
"atHour": 21,
"role": "<a role that owns the tools the refresh needs>",
"template": "templates/refresh.md"
}
and write templates/refresh.md telling the worker how to refresh the records.
The full contract is in config/helps/collection-skills.md → "Scheduled agent
refresh". On schedule (and on the collection's Refresh button) the host runs
a hidden background worker that edits the records.
Prefer this over a tasks.json automation whenever the work is one collection's
refresh: the schedule lives with the collection — it travels when the skill
is copied and is deleted when the collection is, instead of leaving an orphan
task here whose prompt points at records that may no longer exist. (Editing
data/stock-quotes/items/*.json daily? That's ingest.kind: "agent" on the
stock-quotes schema, not an automation.)
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 · 154 lines · 199 tokens per session scan A 76ece25b713e
mc-manage-automations is a skill published in the GitHub repository receptron/mulmoclaude (386 stars, last pushed yesterday), licensed MIT. It adds 199 tokens to every session and 1,741 once invoked, about $0.0008 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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