convex-monitor

convex-monitor is a skill for Claude Code, Codex from openclaw/clawhub. It costs 24 tokens per session (261 once invoked), scanned A, original, MIT.

A monitoring skill for Convex applications, where Convex is a backend platform that provides application data and server functions. It waits for the next local error, deployment error, production error, or feature request and then routes it for action.

In plain words
What is it for?
Use it to watch a Convex app for the next development or production problem, deployment event, or feature request and react to whichever arrives first.
Why use it?
It avoids repeatedly checking for updates and gives each event a defined response, including fixing errors, investigating production failures, or building requested features.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to watch a Convex app for the next development or production problem, deployment event, or feature request and react to whichever arrives first.

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Install with agentmods
npx agentmods add skills/openclaw/clawhub/convex-monitor
About the project

ClawHub is a public registry where OpenClaw users publish, version, search, and install text-based agent skills and OpenClaw packages. It provides web browsing, a CLI-oriented API, moderation, vector search, and artifact hosting for code plugins, bundle plugins, and experimental whole-agent packages. The catalogue skills and agents are entries that can be discovered or used through this registry.

openclaw/clawhub · 9,413 stars · on GitHub · clawhub.ai

Install

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.

Any agent
npx skills add openclaw/clawhub --skill convex-monitor
Clone the repo
git clone --depth 1 https://github.com/openclaw/clawhub

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for convex-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaw/clawhub/convex-monitor/github.svg)](https://agentmods.dev/skills/openclaw/clawhub/convex-monitor)
Your own site
<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-monitor"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-monitor/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.

agentmods 80×15 button for convex-monitor

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-monitor"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 261 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00261
Opus 5 $0.00012 $0.00130
Sonnet 5 $0.00005 $0.00052
Haiku 4.5 $0.00002 $0.00026

Measured 13d ago against content hash 2bf3d0c14224, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

convex-monitor 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/convex-monitor/SKILL.md · 23 lines

What it actually says

Watch for the next thing to react to

Block on the next typed event instead of polling. Races local error logs, deployment subscriptions, and Sentinel prod-error rows; returns the first to fire (or a quiet heartbeat).

Workflow

  1. Call wait_for_event with {project_dir, event_kinds, timeout_ms}.
  2. On kind=convex_error/next_error: decode and fix it. On kind=prod_error: triage (see sentinel) and fix. On kind=feature_request: build it. On kind=quiet: loop.
  3. Where a harness has no blocking MCP (e.g. Copilot cloud), the pack runs a poll loop with the SAME event contract — same behavior, different mechanism.

Rules

  • Prefer the blocking tool; fall back to a poll loop only where blocking MCP is weak.
  • The event schema is fixed and versioned — the same trigger yields the same typed event.
  • Prod events (kind=prod_error) require a deployed cloud app plus Sentinel.
Changes

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.

  1. 13d ago First seen · 23 lines · 24 tokens per session scan A 2bf3d0c14224

Subscribe to this mod's changes

convex-monitor is a skill published in the GitHub repository openclaw/clawhub (9,413 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 261 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.