orangepro

orangepro is a cursor rule for coding agents from OrangeproAI/orangepro-mcp. It costs 217 tokens per session, scanned A, original, MIT.

Guidance for using OrangePro, a tool that finds behavioral test gaps and generates grounded tests. It defines how to run, verify, and report those tests.

In plain words
What is it for?
Finding coverage gaps, generating tests for a pull request or baseline, running them, and recording whether the result is proven or only associated.
Why use it?
It keeps generated test drafts separate from tests that have actually run and been proven to detect mutations.

Cursor rule

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/orangeproai/orangepro-mcp/orangepro
Clone the repo
git clone --depth 1 https://github.com/OrangeproAI/orangepro-mcp
Per session 217 This file is loaded in full into every session.
When invoked 217 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 $0.00217 $0.00217
Opus 5 $0.00109 $0.00109
Sonnet 5 $0.00043 $0.00043
Haiku 4.5 $0.00022 $0.00022

Measured 3d ago against content hash ba8556c10873, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orangepro 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 3d 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.

plugins/orangepro/rules/orangepro.mdc · 22 lines

What it actually says

OrangePro

Use OrangePro before writing tests when the user asks for coverage, behavioral gaps, generated tests, or PR test impact.

Workflow

  1. Call orangepro_start for the current checkout.
  2. For PR work, use orangepro_generate_tests with base_ref=main.
  3. For baseline gaps, use orangepro_find_test_gaps, choose a high-priority gap, then call orangepro_generate_tests.
  4. Write only tests that include run_hints.
  5. Run the suggested command from the owning package directory.
  6. After a passing run, call the returned prove_run args for Dynamically Proven. Use record_run only for static diagnostics.
  7. Report status as Proven, Reproven, Runtime-covered, Associated signal, or No link.

Drafts are context, not runnable claims. Associated signal and AI links are not Proven.

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. 3d ago First seen · 22 lines · 217 tokens per session scan A ba8556c10873

Subscribe to this mod's changes

orangepro is a cursor rule published in the GitHub repository OrangeproAI/orangepro-mcp (17 stars, last pushed 7d ago), licensed MIT. It adds 217 tokens to every session, about $0.0011 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 2026-08-30.

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