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 agentmods add skills/resciencelab/tryskills/convex-setup-authnpx skills add ReScienceLab/TrySkills --skill convex-setup-authgit clone --depth 1 https://github.com/ReScienceLab/TrySkillsWrote 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/resciencelab/tryskills/convex-setup-auth)<a href="https://agentmods.dev/skills/resciencelab/tryskills/convex-setup-auth"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/convex-setup-auth.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00105 | $0.01607 |
| Opus 5 | $0.00053 | $0.00804 |
| Sonnet 5 | $0.00021 | $0.00321 |
| Haiku 4.5 | $0.00011 | $0.00161 |
Grade A, and why
convex-setup-auth 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 3d 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.
This is a copy
98% identical to convex-setup-auth — 109 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Authentication Setup
Implement secure authentication in Convex with user management and access control.
When to Use
- Setting up authentication for the first time
- Implementing user management (users table, identity mapping)
- Creating authentication helper functions
- Setting up auth providers (Convex Auth, Clerk, WorkOS AuthKit, Auth0, custom JWT)
When Not to Use
- Auth for a non-Convex backend
- Pure OAuth/OIDC documentation without a Convex implementation
- Debugging unrelated bugs that happen to surface near auth code
- The auth provider is already fully configured and the user only needs a one-line fix
First Step: Choose the Auth Provider
Convex supports multiple authentication approaches. Do not assume a provider.
Before writing setup code:
- Ask the user which auth solution they want, unless the repository already makes it obvious
- If the repo already uses a provider, continue with that provider unless the user wants to switch
- If the user has not chosen a provider and the repo does not make it obvious, ask before proceeding
Common options:
- Convex Auth - good default when the user wants auth handled directly in Convex
- Clerk - use when the app already uses Clerk or the user wants Clerk's hosted auth features
- WorkOS AuthKit - use when the app already uses WorkOS or the user wants AuthKit specifically
- Auth0 - use when the app already uses Auth0
- Custom JWT provider - use when integrating an existing auth system not covered above
Look for signals in the repo before asking:
- Dependencies such as
@clerk/*,@workos-inc/*,@auth0/*, or Convex Auth packages - Existing files such as
convex/auth.config.ts, auth middleware, provider wrappers, or login components - Environment variables that clearly point at a provider
After Choosing a Provider
Read the provider's official guide and the matching local reference file:
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.
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.
- 3d ago First seen · 151 lines · 105 tokens per session scan A 4bbc9d1f3827
convex-setup-auth is a skill published in the GitHub repository ReScienceLab/TrySkills (2 stars, last pushed 3mo ago), licensed MIT. It adds 105 tokens to every session and 1,607 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to convex-setup-auth, differing in 109 lines, and is treated as a copy.
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