convex-create-component

convex-create-component is a skill for Codex from openclaw/clawhub. It costs 35 tokens per session (2,402 once invoked), scanned A, original, MIT.

A guide for building reusable Convex backend components. Convex is a platform for application backend functions and stored data.

In plain words
What is it for?
Use it to create or extract a Convex component, define its tables and functions, connect integrations, and package backend functionality for multiple apps.
Why use it?
It helps decide whether backend logic needs its own data tables and public interface, instead of mixing reusable code into one application.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create or extract a Convex component, define its tables and functions, connect integrations, and package backend functionality for multiple apps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openclaw/clawhub/convex-create-component
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 · 9,526 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-create-component
Clone the repo
git clone --depth 1 https://github.com/openclaw/clawhub

Made for: 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-create-component

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-create-component"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-create-component.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,402 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 warn 7 Sept 2026
SkillSpector: 6 findings, 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 MCP Rug Pull · line 53
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 76
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 290
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 291
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 292
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 325
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00035 $0.02402
Opus 5.5 $0.00014 $0.00961
Sonnet 5.5 $0.00007 $0.00480
Haiku 4.5 $0.00003 $0.00240

Measured 1mo ago against content hash 71c4781ec586, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

convex-create-component 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

.agents/skills/convex-create-component/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Convex Create Component

Create reusable Convex components with clear boundaries and a small app-facing API.

When to Use

  • Creating a new Convex component in an existing app
  • Extracting reusable backend logic into a component
  • Building a third-party integration that should own its own tables and workflows
  • Packaging Convex functionality for reuse across multiple apps

When Not to Use

  • One-off business logic that belongs in the main app
  • Thin utilities that do not need Convex tables or functions
  • App-level orchestration that should stay in convex/
  • Cases where a normal TypeScript library is enough

Workflow

  1. Ask the user what they are building and what the end goal is. If the repo already makes the answer obvious, say so and confirm before proceeding.
  2. Choose the shape using the decision tree below and read the matching reference file.
  3. Decide whether a component is justified. Prefer normal app code or a regular library if the feature does not need isolated tables, backend functions, or reusable persistent state.
  4. Make a short plan for:
    • what tables the component owns
    • what public functions it exposes
    • what data must be passed in from the app (auth, env vars, parent IDs)
    • what stays in the app as wrappers or HTTP mounts
  5. Create the component structure with convex.config.ts, schema.ts, and function files.
  6. Implement functions using the component's own ./_generated/server imports, not the app's generated files.
  7. Wire the component into the app with app.use(...). If the app does not already have convex/convex.config.ts, create it.
  8. Call the component from the app through components.<name> using ctx.runQuery, ctx.runMutation, or ctx.runAction.
  9. If React clients, HTTP callers, or public APIs need access, create wrapper functions in the app instead of exposing component functions directly.
  10. Run npx convex dev and fix codegen, type, or boundary issues before finishing.

Read the full file on GitHub · 326 lines

Files

What ships with it

6 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.

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. 1mo ago First seen · 326 lines · 35 tokens per session scan A 71c4781ec586

Subscribe to this mod's changes

convex-create-component is a skill published in the GitHub repository openclaw/clawhub (9,526 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 2,402 once invoked, about $0.0001 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.