openFund-AI: Skill for Cursor

.cursor/skills/security-scan/SKILL.md

security-scan is a skill for Cursor from whatsforlunch99/openFund-AI. It costs 48 tokens per session (1,108 once invoked), scanned A, original, no licence file.

A security checker for Claude Code configuration files in the .claude directory. It examines instructions, settings, MCP servers, hooks, and agent definitions for vulnerabilities, unsafe configuration, and prompt-injection risks.

In plain words
What is it for?
It is for checking CLAUDE.md, settings.json, MCP server configuration, hooks, and agent definitions.
Why use it?
It helps identify security problems in the files that control how Claude Code behaves.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is whatsforlunch99/openFund-AI's own configuration. It tells Cursor how to work on openFund-AI 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 openFund-AI configures →

Reuse

Borrowing it

Nothing to install: this file belongs to whatsforlunch99/openFund-AI. 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/whatsforlunch99/openFund-AI/main/.cursor/skills/security-scan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/whatsforlunch99/openFund-AI

Made for: Cursor.

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 security-scan

README.md
[![agentmods](https://agentmods.dev/badge/skills/whatsforlunch99/openfund-ai/security-scan/github.svg)](https://agentmods.dev/skills/whatsforlunch99/openfund-ai/security-scan)
Your own site
<a href="https://agentmods.dev/skills/whatsforlunch99/openfund-ai/security-scan"><img src="https://agentmods.dev/badge/skills/whatsforlunch99/openfund-ai/security-scan/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 security-scan

Your own site · 80×15
<a href="https://agentmods.dev/skills/whatsforlunch99/openfund-ai/security-scan"><img src="https://agentmods.dev/badge/skills/whatsforlunch99/openfund-ai/security-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,108 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 unknown No closer match found 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 $0.00048 $0.01108
Opus 5 $0.00024 $0.00554
Sonnet 5 $0.00010 $0.00222
Haiku 4.5 $0.00005 $0.00111

Measured 10d ago against content hash 6facddfa83c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

security-scan 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.

Reads MCP configurationlowAgent snooping

mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.

| `mcp.json` | Risky MCP servers, hardcoded env secrets, npx supply chain risks |

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

.cursor/skills/security-scan/SKILL.md · 166 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 166 lines · 48 tokens per session scan A 6facddfa83c1

Subscribe to this mod's changes

security-scan is a skill published in the GitHub repository whatsforlunch99/openFund-AI (5 stars, last pushed 4mo ago), with no licence file. It adds 48 tokens to every session and 1,108 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens