Borrowing it
Nothing to install: this file belongs to vvedantb/eva. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vvedantb/eva/main/.agents/skills/clerk-setup/SKILL.mdgit clone --depth 1 https://github.com/vvedantb/evaWrote 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/vvedantb/eva/clerk-setup)<a href="https://agentmods.dev/skills/vvedantb/eva/clerk-setup"><img src="https://agentmods.dev/badge/skills/vvedantb/eva/clerk-setup/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/vvedantb/eva/clerk-setup"><img src="https://agentmods.dev/badge/skills/vvedantb/eva/clerk-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 36 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 172 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00019 | $0.03495 |
| Opus 5.5 | $0.00008 | $0.01398 |
| Sonnet 5.5 | $0.00004 | $0.00699 |
| Haiku 4.5 | $0.00002 | $0.00349 |
Grade A, and why
clerk-setup 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 — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adding Clerk
Version: Check
package.jsonfor the SDK version — seeclerkskill for the version table. Core 2 differences are noted inline with> **Core 2 ONLY (skip if current SDK):**callouts.
This skill sets up Clerk for authentication by following the official quickstart documentation. For agents, the clerk CLI handles most of this end to end — see the next section.
Agent-first: Provision via CLI
The clerk CLI replaces most Dashboard clicks. Three scenarios cover almost everything:
Scenario A — New project, new Clerk app
clerk init --framework <next|react|vue|nuxt|astro|react-router|tanstack-react-start|expressjs|fastify|expo> -y
clerk init creates the Clerk app via PLAPI, links the project, writes the framework-specific publishable + secret keys to the right env file (e.g. .env.local for Next.js, .env for Vite-based projects), and installs the SDK package.
Scenario B — Existing project, existing Clerk app
clerk auth login # one-time OAuth (skip if already logged in)
clerk link # autolinks if a CLERK_PUBLISHABLE_KEY is in your .env
clerk link --app app_xxx # explicit form, required in agent mode
clerk env pull # writes the framework-detected env vars
Scenario C — Existing project, new Clerk app
clerk auth login
clerk apps create "My App" --json # returns the new app_id
clerk link --app app_xxx
clerk env pull
Daily ops
clerk env pull # refresh keys (uses linked profile)
clerk env pull --instance prod # production keys
clerk doctor --json # framework integration health check
Rotate the secret key (replaces Dashboard rotation)
PLAPI exposes secret-key rotation directly. Use raw clerk api until the friendly wrapper ships:
clerk api --platform POST /v1/platform/applications/<app_id>/rotate_secret_keys \
-d '{"delay_old_secrets_expiration_hours": 24, "reason": "scheduled rotation"}'
What ships with it
1 file 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 · 335 lines · 19 tokens per session scan A 4cd3eef1dccc
clerk-setup is a skill published in the GitHub repository vvedantb/eva (101 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 3,495 once invoked, about $0.0001 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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