Discrete Structures Ai Platform — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Discrete Structures Ai Platform (Agent Skill) and scored it 83/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 4 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 4 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
A bulleted imperative like {match} tells the agent to never reveal, disclose, or mention something to the user. Used adversarially it can instruct the agent to hide its tool calls or lie about what it did — stripping the transparency a user relies on to trust the agent.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
An interactive web-based educational platform for learning discrete structures through visualizations, AI-powered assistance, and hands-on tools.
pip install uv)cd backend
uv sync
copy .env.example .env
# Edit .env and add your OPENAI_API_KEY
uv run uvicorn src.main:app --reloadBackend runs on http://localhost:8000
cd frontend
npm install
copy .env.example .env
npm run devFrontend runs on http://localhost:5173
discrete-structures-ai-platform/
├── backend/ # FastAPI backend + MCP server
│ ├── src/
│ │ ├── api/ # API endpoints
│ │ ├── agents/ # OpenAI agents
│ │ ├── mcp/ # MCP tools
│ │ ├── models/ # Pydantic models
│ │ └── services/ # Business logic
│ └── tests/ # Backend tests
├── frontend/ # React frontend
│ ├── src/
│ │ ├── components/ # React components
│ │ ├── pages/ # Page components
│ │ ├── services/ # API clients
│ │ ├── hooks/ # Custom hooks
│ │ └── types/ # TypeScript types
│ └── public/ # Static assets
└── specs/ # Project specificationsThis project follows a phased implementation approach:
See specs/001-ds-ai-platform/tasks.md for detailed task breakdown.
Educational use only.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.