project-context

Project guidance for a Python MCP server that coordinates security scanners and formats their results for AI agents. Security scanners check code or files for issues such as leaked secrets and unsafe code.

In plain words
What is it for?
Use it when building or maintaining finding cleanup, scanner integrations, parallel runs, time limits, path checks, MCP scan tools, and the project’s linting, type-checking, and test command.
Why use it?
It defines the build order and the checks required before work is considered complete, helping keep scanner results consistent and changes tested.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/openjkai/secscan_mcp/project-context
Clone the repo
git clone --depth 1 https://github.com/openjkai/secscan_mcp

Made for: Cursor.

Per session 185 This file is loaded in full into every session.
When invoked 185 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00185 $0.00185
Opus 5 $0.00093 $0.00093
Sonnet 5 $0.00037 $0.00037
Haiku 4.5 $0.00018 $0.00018

Measured yesterday against content hash 5864400aa373, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

project-context 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 yesterday.

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.

.cursor/rules/project-context.mdc · 25 lines

What it actually says

secscan-mcp

Python MCP server: orchestrate security scanners, normalize findings for agents.

Build order

  1. normalize.py — Finding schema, severity, dedupe, secret redaction
  2. engines/* — one adapter per scanner CLI
  3. runner.py — parallel runs, timeouts, path safety
  4. server.py — MCP tools (scan_secrets, scan_code, scan_all, etc.)
  5. tests/ — fixtures + integration markers

Quality gate

Before marking work done: make check (ruff + mypy + pytest).

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. yesterday First seen · 25 lines · 185 tokens per session scan A 5864400aa373

Subscribe to this mod's changes

project-context is a cursor rule published in the GitHub repository openjkai/secscan_mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 185 tokens to every session, about $0.0009 per session on Opus 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 2026-08-31.