convalytics: Skill for Codex

.agents/skills/convex-create-component/SKILL.md

convex-create-component is a skill for Codex from Dan-Cleary/convalytics. It costs 95 tokens per session (2,370 once invoked), scanned A, a copy of convex-create-component, Apache-2.0.

A guide for building reusable Convex backend components. Convex is a backend platform, and a component is a self-contained piece of backend code with its own tables and functions.

In plain words
What is it for?
It helps create components, extract reusable backend logic, build integrations with their own data, and package Convex functionality for use across multiple apps.
Why use it?
It helps decide when code belongs in a reusable component and how that component should stay separate from the main application.

Skill for Codex

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

This is Dan-Cleary/convalytics's own configuration. It tells Codex how to work on convalytics itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything convalytics configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Dan-Cleary/convalytics. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Dan-Cleary/convalytics/main/.agents/skills/convex-create-component/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Dan-Cleary/convalytics

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/dan-cleary/convalytics/convex-create-component/github.svg)](https://agentmods.dev/skills/dan-cleary/convalytics/convex-create-component)
Your own site
<a href="https://agentmods.dev/skills/dan-cleary/convalytics/convex-create-component"><img src="https://agentmods.dev/badge/skills/dan-cleary/convalytics/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/dan-cleary/convalytics/convex-create-component"><img src="https://agentmods.dev/badge/skills/dan-cleary/convalytics/convex-create-component.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,370 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 92% copy Near-identical to another mod 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 $0.00095 $0.02370
Opus 5.5 $0.00038 $0.00948
Sonnet 5.5 $0.00019 $0.00474
Haiku 4.5 $0.00010 $0.00237

Measured 1mo ago against content hash 2bb2e544fea0, 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

This is a copy

92% identical to convex-create-component — 119 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/convex-create-component/SKILL.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 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.

Choose the Shape

Ask the user, then pick one path:

Read the full file on GitHub · 285 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 · 285 lines · 95 tokens per session scan A 2bb2e544fea0

Subscribe to this mod's changes

convex-create-component is a skill published in the GitHub repository Dan-Cleary/convalytics (7 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 95 tokens to every session and 2,370 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to convex-create-component, differing in 119 lines, and is treated as a copy.

Related

Other skills, from other repositories

mem0-oss-to-platform

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…

mem0ai/mem0 · 217 tokens

agui-dotnet-protobuf

Use the protobuf wire transport (instead of the default Server-Sent Events) for an AG-UI connection with the AG-UI .NET SDK — a compact binary event stream negotiated via the Accept header. USE FOR: making an AGUIChatClient prefer protobuf by wiring an AGUIEventStreamHandler with ProtobufEventStreamFormatter (then…

ag-ui-protocol/ag-ui · 162 tokens

azure-mgmt-botservice-dotnet

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

microsoft/skills · 78 tokens

fastapi-router-py

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.

microsoft/skills · 46 tokens

migrate-segw-to-rap

Reverse-engineer a SEGW-built OData V2 service (MPC/DPC/MPCEXT/DPCEXT) into a modern RAP V4 service — tables, CDS views (interface + projection), behavior definitions, draft entities, service definition + binding. Use when asked to "migrate this SEGW service to RAP", "convert OData V2 to V4 RAP", "modernize this…

arc-mcp/arc-1 · 106 tokens

telnyx-messaging-hosted-curl

Set up hosted SMS numbers, toll-free verification, and RCS messaging. Use when migrating numbers or enabling rich messaging features. This skill provides REST API (curl) examples.

team-telnyx/ai · 45 tokens