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 hristo2612/jinn --skill cron-managergit clone --depth 1 https://github.com/hristo2612/jinnWrote 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/hristo2612/jinn/cron-manager)<a href="https://agentmods.dev/skills/hristo2612/jinn/cron-manager"><img src="https://agentmods.dev/badge/skills/hristo2612/jinn/cron-manager/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/hristo2612/jinn/cron-manager"><img src="https://agentmods.dev/badge/skills/hristo2612/jinn/cron-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 14 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00018 | $0.01330 |
| Opus 5 | $0.00009 | $0.00665 |
| Sonnet 5 | $0.00004 | $0.00266 |
| Haiku 4.5 | $0.00002 | $0.00133 |
Grade A, and why
cron-manager 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 10d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cron Manager Skill
Trigger
This skill activates when the user wants to create, edit, delete, enable, disable, or list scheduled cron jobs.
Data File
All cron jobs are stored in ~/.jinn/cron/jobs.json as a JSON array of job objects. If the file does not exist, create it with an empty array [].
CronJob Schema
{
"id": "uuid-v4",
"name": "daily-standup-summary",
"enabled": true,
"schedule": "0 9 * * 1-5",
"timezone": "America/New_York",
"engine": "claude",
"model": "sonnet",
"employee": "project-manager",
"prompt": "Review all department boards and summarize progress since yesterday. Highlight blockers and upcoming deadlines.",
"delivery": {
"connector": "slack",
"channel": "#engineering-standup"
}
}
Field details:
id- UUID v4, generated when creating the jobname- kebab-case human-readable identifier, must be unique across all jobsenabled- boolean, whether the job is activeschedule- standard cron expression (minute hour day month weekday)timezone- IANA timezone string (e.g.,America/New_York,Europe/London,UTC)engine- AI engine to run the job:claudeorcodexmodel- model identifier (e.g.,sonnet,opus,o3)employee- optional, the employee persona to use (must match an employee name in the org)prompt- the instruction to execute when the job firesdelivery- optional object specifying where to send outputconnector- the connector to use (e.g.,slack,discord)channel- the target channel or destination
Operations
Creating a Job
- Read the current
~/.jinn/cron/jobs.json(or initialize as[]if missing). - Ask the user for the required fields: name, schedule, engine, model, and prompt.
- Ask about the timezone. Default to
UTCif not specified. - Ask about the employee persona to use. This is optional.
- Always ask the user about the delivery channel if they did not specify one. Explain that without delivery, the output will only be logged.
- Delegation check: If the job has delivery configured AND targets a non-{{portalSlug}} employee, warn the user. The correct pattern for reporting/analytical jobs is: target
{{portalSlug}}, and include delegation instructions in the prompt (e.g. "Delegate to @employee-name: ..."). {{portalName}} reviews and filters the output before it reaches the delivery channel. Only simple, no-review tasks (e.g. health checks) should target employees directly with delivery. - Generate a UUID for the
idfield. - Set
enabledtotrueby default. - Append the new job object to the array.
- Write the updated array back to
~/.jinn/cron/jobs.json. - Confirm the creation and summarize the schedule in plain English.
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.
- 10d ago First seen · 128 lines · 18 tokens per session scan A 2592e91605da
cron-manager is a skill published in the GitHub repository hristo2612/jinn (315 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 1,330 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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