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 ashish7802/awesome-api-skills --skill convexgit clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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/ashish7802/awesome-api-skills/convex)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/convex"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/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/ashish7802/awesome-api-skills/convex"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/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 | $0.00000 | $0.00540 |
| Opus 5.5 | $0.00000 | $0.00216 |
| Sonnet 5.5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex API Skill
Quick Start
Convex manages your database, server functions, and client state. You write server functions in TypeScript, and Convex automatically syncs the results to your React frontend via WebSockets.
npm install convex
Common Workflows
Realtime Queries
Write a query function in your convex/ folder. In your React component, use useQuery(api.messages.list). Convex handles the WebSocket subscription; if the database changes, the React component automatically re-renders.
Production Patterns
Mutations and Actions
Use mutation functions for deterministic database writes. Use action functions (which can call third-party APIs like OpenAI or Stripe) for non-deterministic side effects. Actions can subsequently call mutations to update the database.
Error Recovery
Convex automatically retries deterministic queries and mutations if they fail due to transient database locks. Actions are NOT retried automatically; handle HTTP failures explicitly within your action code.
Security Notes
Enforce authorization directly within your Convex query and mutation functions by verifying the ctx.auth object before reading or writing data.
Performance Considerations
Because queries are strictly deterministic, Convex caches their results transparently. Avoid fetching massive data sets; utilize pagination patterns or explicit limit clauses.
Testing Guidance
Use the convex-test library to write unit tests for your backend functions, passing in mock authentication states to verify your row-level security logic.
Troubleshooting
If a mutation throws a non-deterministic error (e.g., Math.random() or fetch()), Convex will reject it. Move side-effects into action functions.
References
Related Skills
Why use this skill
Use this when your agent works with convex — structured patterns beat pasted docs and prevent common hallucinations.
What ships with it
7 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.
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 · 59 lines · 0 tokens per session scan A 2ad764243a66
convex is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 540 tokens. 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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