convex-runtime

convex-runtime is a skill for OpenCode from IgorWarzocha/Opencode-Workflows. It costs 143 tokens per session (1,020 once invoked), scanned A, original, no licence file.

A set of instructions for adding Convex backend features such as webhooks, file uploads, search, scheduled tasks, and retrieval-augmented generation (RAG), which combines document retrieval with generated answers.

In plain words
What is it for?
Use it for HTTP endpoints, file storage, full-text or vector search, scheduled functions, cron jobs, and RAG workflows.
Why use it?
It gives developers a documented way to implement these server-side features when building an application with Convex.

Skill for OpenCode

Written for OpenCode: installed under .opencode/.

Good fit Use it for HTTP endpoints, file storage, full-text or vector search, scheduled functions, cron jobs, and RAG workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/igorwarzocha/opencode-workflows/convex-runtime
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 IgorWarzocha/Opencode-Workflows --skill convex-runtime
Clone the repo
git clone --depth 1 https://github.com/IgorWarzocha/Opencode-Workflows

Made for: OpenCode.

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-runtime

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/igorwarzocha/opencode-workflows/convex-runtime"><img src="https://agentmods.dev/badge/skills/igorwarzocha/opencode-workflows/convex-runtime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,020 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.
Origin unknown 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 $0.00143 $0.01020
Opus 5.5 $0.00057 $0.00408
Sonnet 5.5 $0.00029 $0.00204
Haiku 4.5 $0.00014 $0.00102

Measured 1mo ago against content hash 4fcc768f9309, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

convex-runtime 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.

agents/vite-react-ts-convex-tailwind/.opencode/skill/convex-runtime/SKILL.md · 80 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 80 lines · 143 tokens per session scan A 4fcc768f9309

Subscribe to this mod's changes

convex-runtime is a skill published in the GitHub repository IgorWarzocha/Opencode-Workflows (123 stars, last pushed 8mo ago), with no licence file. It adds 143 tokens to every session and 1,020 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

azure-search-documents-dotnet

Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET"…

microsoft/skills · 102 tokens

azure-search-documents-ts

Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.

microsoft/skills · 48 tokens

convex-agent

Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.

openclaw/clawhub · 25 tokens

wegent-knowledge

Knowledge base management and search tools for Wegent. Provides capabilities to list, create, update, and search knowledge bases and documents using RAG retrieval. Use this skill when the user wants to manage knowledge bases, documents, or search for information programmatically.

wecode-ai/Wegent · 51 tokens

azure-search-documents-py

Full-text, vector, and hybrid search with AI enrichment capabilities.

benjaminasterA/antigravity-awesome-skills · 0 tokens

spring-ai-integration

Use when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot. Covers Spring AI ChatClient, prompt templates, embeddings, vector stores, and structured output. Use when user mentions Spring AI, LLM, ChatGPT, Claude, RAG, embeddings.

rrezartprebreza/spring-boot-skills · 66 tokens