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 J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill convexgit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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/j-star-films-studios/vibecode-protocol-suite/convex)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/convex"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/convex/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/j-star-films-studios/vibecode-protocol-suite/convex"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/convex.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00047 | $0.00575 |
| Opus 5.5 | $0.00019 | $0.00230 |
| Sonnet 5.5 | $0.00009 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
convex 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.
What it actually says
Convex Development Suite
This is the router for Convex development. Open and read the relevant sub-skill file for deep guidance:
Core Development
| Area | Sub-Skill Path | Use When |
|---|---|---|
| Functions & Queries | convex-functions/SKILL.md |
Writing queries, mutations, actions |
| Schema & Types | convex-schema-validator/SKILL.md |
Defining database schemas and validators |
| Realtime Subscriptions | convex-realtime/SKILL.md |
Building reactive subscriptions and caching |
| HTTP Actions | convex-http-actions/SKILL.md |
External webhooks and HTTP endpoints |
Data & Storage
| Area | Sub-Skill Path | Use When |
|---|---|---|
| File Storage | convex-file-storage/SKILL.md |
File uploads, serving, and storage |
| Migrations | convex-migrations/SKILL.md |
Schema evolution and data backfills |
Advanced Patterns
| Area | Sub-Skill Path | Use When |
|---|---|---|
| AI Agents | convex-agents/SKILL.md |
Building AI agents with tool calling |
| Cron Jobs | convex-cron-jobs/SKILL.md |
Scheduled background tasks |
| Component Authoring | convex-component-authoring/SKILL.md |
Reusable Convex components |
Security & Best Practices
| Area | Sub-Skill Path | Use When |
|---|---|---|
| Security Audit | convex-security-audit/SKILL.md |
Deep security review |
| Security Check | convex-security-check/SKILL.md |
Quick security audit checklist |
| Best Practices | convex-best-practices/SKILL.md |
General Convex patterns and guidelines |
Quick Start
- Check
convex-best-practices/SKILL.mdfor architecture and query patterns. - Read
convex-functions/SKILL.mdfor writing queries, mutations, and actions. - Read
convex-schema-validator/SKILL.mdfor data modeling. - Load specific sub-skills on demand as needed.
Official Documentation
- Primary: https://docs.convex.dev
- LLM-optimized: https://docs.convex.dev/llms.txt
What ships with it
51 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.
- agents/openai.yaml 91 B
- assets/large-logo.png 3.2 KB
- assets/small-logo.svg 1.2 KB
- convex-agents/agents/openai.yaml 91 B
- convex-agents/assets/large-logo.png 3.2 KB
- convex-agents/assets/small-logo.svg 1.2 KB
- convex-agents/SKILL.md 13 KB
- convex-best-practices/agents/openai.yaml 91 B
- convex-best-practices/assets/large-logo.png 3.2 KB
- convex-best-practices/assets/small-logo.svg 1.2 KB
- convex-best-practices/SKILL.md 9.5 KB
- convex-component-authoring/agents/openai.yaml 91 B
- convex-component-authoring/assets/large-logo.png 3.2 KB
- convex-component-authoring/assets/small-logo.svg 1.2 KB
- convex-component-authoring/SKILL.md 10 KB
- convex-cron-jobs/agents/openai.yaml 91 B
- convex-cron-jobs/assets/large-logo.png 3.2 KB
- convex-cron-jobs/assets/small-logo.svg 1.2 KB
- convex-cron-jobs/SKILL.md 14 KB
- convex-file-storage/agents/openai.yaml 91 B
- convex-file-storage/assets/large-logo.png 3.2 KB
- convex-file-storage/assets/small-logo.svg 1.2 KB
- convex-file-storage/SKILL.md 11 KB
- convex-functions/agents/openai.yaml 91 B
- convex-functions/assets/large-logo.png 3.2 KB
- convex-functions/assets/small-logo.svg 1.2 KB
- convex-functions/SKILL.md 12 KB
- convex-http-actions/agents/openai.yaml 91 B
- convex-http-actions/assets/large-logo.png 3.2 KB
- convex-http-actions/assets/small-logo.svg 1.2 KB
- convex-http-actions/SKILL.md 18 KB
- convex-migrations/agents/openai.yaml 91 B
- convex-migrations/assets/large-logo.png 3.2 KB
- convex-migrations/assets/small-logo.svg 1.2 KB
- convex-migrations/SKILL.md 18 KB
- convex-realtime/agents/openai.yaml 91 B
- convex-realtime/assets/large-logo.png 3.2 KB
- convex-realtime/assets/small-logo.svg 1.2 KB
- convex-realtime/SKILL.md 12 KB
- convex-schema-validator/agents/openai.yaml 91 B
- convex-schema-validator/assets/large-logo.png 3.2 KB
- convex-schema-validator/assets/small-logo.svg 1.2 KB
- convex-schema-validator/SKILL.md 9.9 KB
- convex-security-audit/agents/openai.yaml 91 B
- convex-security-audit/assets/large-logo.png 3.2 KB
- convex-security-audit/assets/small-logo.svg 1.2 KB
- convex-security-audit/SKILL.md 15 KB
- convex-security-check/agents/openai.yaml 91 B
- convex-security-check/assets/large-logo.png 3.2 KB
- convex-security-check/assets/small-logo.svg 1.2 KB
- convex-security-check/SKILL.md 9.6 KB
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.
- 1mo ago First seen · 57 lines · 47 tokens per session scan A 8043e62293ad
convex is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (25 stars, last pushed 9d ago), licensed ISC. It adds 47 tokens to every session and 575 once invoked, about $0.0002 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.
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convex-realtime
Patterns for building reactive apps including subscription management, optimistic updates, cache behavior, and paginated queries with cursor-based loading.
reactive-sync-engine-expert
Expert guide for Linear-style Reactive Sync Engines (Zero by Rocicorp, ElectricSQL, PowerSync), Postgres Logical Replication to IndexedDB/SQLite, sub-millisecond optimistic mutations, and server reconciliation / Panduan ahli mesin sinkronisasi reaktif gaya Linear, replikasi logis Postgres ke klien, dan mutasi optimis…
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system-and-data-design
Decide whether the system will hold, and where the data lives: requirements and load first, then back-of-the-envelope numbers, building blocks (cache, queue, load balancer, CDN), and the data layer in depth — storage engines, indexes, replication, partitioning, transactions and consistency, batch vs stream. Use when…
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Designs and builds Convex components with isolated tables, clear boundaries, and app-facing wrappers. Use this skill when creating a new Convex component, extracting reusable backend logic into a component, building a third-party integration that owns its own tables, packaging Convex functionality for reuse, or when…
convex-quickstart
Initializes a new Convex project from scratch or adds Convex to an existing app. Use this skill when starting a new project with Convex, scaffolding with npm create convex@latest, adding Convex to an existing React, Next.js, Vue, Svelte, or other frontend, wiring up ConvexProvider, configuring environment variables…