ferix: Skill for Claude Code

.claude/skills/Convex Security Check/SKILL.md

Convex Security Check is a skill for Claude Code from charlietlamb/ferix. It costs 27 tokens per session (2,325 once invoked), scanned A, a copy of convex-security-check, MIT.

A security checklist for Convex applications, where Convex provides the database and server functions behind an app. It checks sign-in, exposed functions, input validation, per-user data access, and environment variables.

In plain words
What is it for?
Use it to review Convex queries, mutations, actions, and HTTP handlers for authentication and access-control problems. It also helps check that function arguments and environment variables are handled safely.
Why use it?
It helps find common gaps such as unauthenticated sensitive queries, publicly exposed operations, unchecked inputs, or improperly handled secrets. It is intended as a quick review rather than a description of a complete security system.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is charlietlamb/ferix's own configuration. It tells Claude Code how to work on ferix 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 ferix configures →

Reuse

Borrowing it

Nothing to install: this file belongs to charlietlamb/ferix. 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/charlietlamb/ferix/main/.claude/skills/Convex Security Check/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/charlietlamb/ferix

Made for: Claude Code.

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 Security Check

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlietlamb/ferix/convex-security-check/github.svg)](https://agentmods.dev/skills/charlietlamb/ferix/convex-security-check)
Your own site
<a href="https://agentmods.dev/skills/charlietlamb/ferix/convex-security-check"><img src="https://agentmods.dev/badge/skills/charlietlamb/ferix/convex-security-check/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 Security Check

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlietlamb/ferix/convex-security-check"><img src="https://agentmods.dev/badge/skills/charlietlamb/ferix/convex-security-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,325 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% 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 $0.00027 $0.02325
Opus 5 $0.00014 $0.01162
Sonnet 5 $0.00005 $0.00465
Haiku 4.5 $0.00003 $0.00232

Measured 10d ago against content hash 42dd6e8977e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Convex Security Check scanned grade A with 1 finding 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 10d 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.

Sends data to an external URLlowData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

const response = await fetch("https://api.resend.com/emails", { method: "POST",

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Origin

This is a copy

97% identical to convex-security-check — 3 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.

.claude/skills/Convex Security Check/SKILL.md · 378 lines

How it starts

The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Convex Security Check

A quick security audit checklist for Convex applications covering authentication, function exposure, argument validation, row-level access control, and environment variable handling.

Documentation Sources

Before implementing, do not assume; fetch the latest documentation:

Instructions

Security Checklist

Use this checklist to quickly audit your Convex application's security:

1. Authentication
  • Authentication provider configured (Clerk, Auth0, etc.)
  • All sensitive queries check ctx.auth.getUserIdentity()
  • Unauthenticated access explicitly allowed where intended
  • Session tokens properly validated
2. Function Exposure
  • Public functions (query, mutation, action) reviewed
  • Internal functions use internalQuery, internalMutation, internalAction
  • No sensitive operations exposed as public functions
  • HTTP actions validate origin/authentication
3. Argument Validation
  • All functions have explicit args validators
  • All functions have explicit returns validators
  • No v.any() used for sensitive data
  • ID validators use correct table names
4. Row-Level Access Control
  • Users can only access their own data
  • Admin functions check user roles
  • Shared resources have proper access checks
  • Deletion functions verify ownership
5. Environment Variables
  • API keys stored in environment variables
  • No secrets in code or schema
  • Different keys for dev/prod environments
  • Environment variables accessed only in actions

Authentication Check

// convex/auth.ts
import { query, mutation } from "./_generated/server";
import { v } from "convex/values";
import { ConvexError } from "convex/values";

// Helper to require authentication
async function requireAuth(ctx: QueryCtx | MutationCtx) {
  const identity = await ctx.auth.getUserIdentity();
  if (!identity) {
    throw new ConvexError("Authentication required");
  }
  return identity;
}

// Secure query pattern
export const getMyProfile = query({
  args: {},
  returns: v.union(v.object({
    _id: v.id("users"),
    name: v.string(),
    email: v.string(),
  }), v.null()),
  handler: async (ctx) => {
    const identity = await requireAuth(ctx);
    
    return await ctx.db
      .query("users")
      .withIndex("by_tokenIdentifier", (q) => 
        q.eq("tokenIdentifier", identity.tokenIdentifier)
      )
      .unique();
  },
});

Read the full file on GitHub · 378 lines

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. 10d ago First seen · 378 lines · 27 tokens per session scan A 42dd6e8977e2

Subscribe to this mod's changes

Convex Security Check is a skill published in the GitHub repository charlietlamb/ferix (10 stars, last pushed 6mo ago), licensed MIT. It adds 27 tokens to every session and 2,325 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (sends data to an external url). It is 97% identical to convex-security-check, differing in 3 lines, and is treated as a copy.

Related

Other skills, from other repositories