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 agentmods add skills/onebrain-ai/onebrain/schedule-listnpx skills add onebrain-ai/onebrain --skill schedule-listgit clone --depth 1 https://github.com/onebrain-ai/onebrainWrote 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/onebrain-ai/onebrain/schedule-list)<a href="https://agentmods.dev/skills/onebrain-ai/onebrain/schedule-list"><img src="https://agentmods.dev/badge/skills/onebrain-ai/onebrain/schedule-list.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.01306 |
| Opus 5 | $0.00014 | $0.00653 |
| Sonnet 5 | $0.00005 | $0.00261 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
schedule-list 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 5d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/schedule-list — Show scheduled entries
Purpose
Display a formatted summary of all entries currently registered in the schedule: block of onebrain.yml. Both skill-mode entries (skill: /daily) and command-mode entries (command: onebrain + args: [...]) are shown side by side, with installed-on-disk status from launchd.
Skill flow
Step 1: Read onebrain.yml
Read onebrain.yml from the vault root. Locate the schedule: block.
If onebrain.yml does not exist or has no schedule: block, or the block is empty:
No scheduled entries found.
→ Run /schedule-add to set one up.
Stop.
Step 2: Fetch status
Read the schedule: block from onebrain.yml directly to get the cron/at expression and skill/command field for each entry.
Optionally run from the vault root:
onebrain schedule register --status
This emits plain text (not JSON). Each line is one entry with the [cron] or [once] tag, the cron/at value, and either skill: /name (k=v, k2=v2) (skill mode with optional args) or cmd: binary arg1 arg2 (command mode with positional argv). The status prefix reports what the OS scheduler says (CLI v3.4.20+, all platforms): ✓ = installed and active, ⚠ = artifact present but the scheduler is not running it, ✗ = not installed. (Pre-v3.4.20 CLIs reported file existence only.)
The CLI does not track last-run, next-run, or last-status — that detail is in [logs_folder]/scheduler/YYYY/MM/.
If onebrain schedule register --status is unavailable or fails (pre-v3.4.20 CLI): fall back to a macOS-only plist-existence check in ~/Library/LaunchAgents/ — filename com.onebrain.<labelSafe>.plist, labelSafe = binary name (command mode) or skill name with the leading slash stripped, non-[a-zA-Z0-9-] replaced by -. Note the caveats in the report: command-mode labels on current CLIs carry an args/cron/at discriminator this fallback cannot compute, and file existence is not activation — recommend upgrading the CLI.
Step 3: Format output
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.
- 5d ago First seen · 104 lines · 27 tokens per session scan A 75e83679aa4f
schedule-list is a skill published in the GitHub repository onebrain-ai/onebrain (26 stars, last pushed 7d ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,306 once invoked, about $0.0001 per session on Opus 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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