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 waynesutton/convexskills --skill convex-cron-jobsgit clone --depth 1 https://github.com/waynesutton/convexskillsWrote 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/waynesutton/convexskills/convex-cron-jobs)<a href="https://agentmods.dev/skills/waynesutton/convexskills/convex-cron-jobs"><img src="https://agentmods.dev/badge/skills/waynesutton/convexskills/convex-cron-jobs/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/waynesutton/convexskills/convex-cron-jobs"><img src="https://agentmods.dev/badge/skills/waynesutton/convexskills/convex-cron-jobs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00033 | $0.03453 |
| Opus 5 | $0.00016 | $0.01726 |
| Sonnet 5 | $0.00007 | $0.00691 |
| Haiku 4.5 | $0.00003 | $0.00345 |
Grade A, and why
convex-cron-jobs 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- convex-cron-jobs — 100% identical, 0 lines differ
- Convex Cron Jobs — 98% identical, 3 lines differ
- Convex Cron Jobs — 98% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 605 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Cron Jobs
Schedule recurring functions for background tasks, cleanup jobs, data syncing, and automated workflows in Convex applications.
Documentation Sources
Before implementing, do not assume; fetch the latest documentation:
- Primary: https://docs.convex.dev/scheduling/cron-jobs
- Scheduling Overview: https://docs.convex.dev/scheduling
- Scheduled Functions: https://docs.convex.dev/scheduling/scheduled-functions
- For broader context: https://docs.convex.dev/llms.txt
Instructions
Cron Jobs Overview
Convex cron jobs allow you to schedule functions to run at regular intervals or specific times. Key features:
- Run functions on a fixed schedule
- Support for interval-based and cron expression scheduling
- Automatic retries on failure
- Monitoring via the Convex dashboard
Basic Cron Setup
// convex/crons.ts
import { cronJobs } from "convex/server";
import { internal } from "./_generated/api";
const crons = cronJobs();
// Run every hour
crons.interval(
"cleanup expired sessions",
{ hours: 1 },
internal.tasks.cleanupExpiredSessions,
{}
);
// Run every day at midnight UTC
crons.cron(
"daily report",
"0 0 * * *",
internal.reports.generateDailyReport,
{}
);
export default crons;
Interval-Based Scheduling
Use crons.interval for simple recurring tasks:
// convex/crons.ts
import { cronJobs } from "convex/server";
import { internal } from "./_generated/api";
const crons = cronJobs();
// Every 5 minutes
crons.interval(
"sync external data",
{ minutes: 5 },
internal.sync.fetchExternalData,
{}
);
// Every 2 hours
crons.interval(
"cleanup temp files",
{ hours: 2 },
internal.files.cleanupTempFiles,
{}
);
// Every 30 seconds (minimum interval)
crons.interval(
"health check",
{ seconds: 30 },
internal.monitoring.healthCheck,
{}
);
export default crons;
Cron Expression Scheduling
Use crons.cron for precise scheduling with cron expressions:
// convex/crons.ts
import { cronJobs } from "convex/server";
import { internal } from "./_generated/api";
const crons = cronJobs();
// Every day at 9 AM UTC
crons.cron(
"morning notifications",
"0 9 * * *",
internal.notifications.sendMorningDigest,
{}
);
// Every Monday at 8 AM UTC
crons.cron(
"weekly summary",
"0 8 * * 1",
internal.reports.generateWeeklySummary,
{}
);
// First day of every month at midnight
crons.cron(
"monthly billing",
"0 0 1 * *",
internal.billing.processMonthlyBilling,
{}
);
// Every 15 minutes
crons.cron(
"frequent sync",
"*/15 * * * *",
internal.sync.syncData,
{}
);
export default crons;
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 First seen · 605 lines · 33 tokens per session scan A 16fe03dc1e1b
convex-cron-jobs is a skill published in the GitHub repository waynesutton/convexskills (404 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 3,453 once invoked, about $0.0002 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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