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.
npx agentmods add agents/orangeproai/orangepro-mcp/opencodegit clone --depth 1 https://github.com/OrangeproAI/orangepro-mcpWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00370 |
| Opus 5 | $0.00000 | $0.00185 |
| Sonnet 5 | $0.00000 | $0.00074 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
opencode 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 2d 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.
What it actually says
OrangePro With OpenCode
Install
npm install -g @orangepro/orangepro-mcp
cd /path/to/your/repo
opro
opro is the one-command preparation step: behavior report, RTM, optional weak AI grounding and AI-suggested candidate flows when a provider key is configured, and next actions for the agent.
MCP Setup
Print the OpenCode MCP block:
opro agent --client opencode
Add the printed mcpServers.orangepro-local block to your OpenCode MCP settings. If OpenCode does not inherit your shell environment, put the model provider key in the local MCP config, or keep it in a repo-local .env.provider.local file that is not committed.
For a direct OpenCode config, add this server under mcp:
{
"mcp": {
"orangepro-local": {
"enabled": true,
"command": "npx",
"args": ["-y", "@orangepro/mcp-server@latest", "mcp"]
}
}
}
If your OpenCode setup supports slash or dollar commands, map /opro or $opro to: call orangepro_start for the current checkout, then follow the returned next_actions. The shortcut should call the MCP tool; it is not a separate graph builder.
Agent Prompt
Use OrangePro first. Call orangepro_start, generate tests only through orangepro_generate_tests, write runnable tests with run_hints, run the command, and call `orangepro_prove` with the returned `prove_run` args after a pass for Dynamically Proven. Use record_run only for static diagnostics. Report setup failures plainly.
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.
- 2d ago First seen · 44 lines · 0 tokens per session scan A 3de75a8994d2
opencode is an agent published in the GitHub repository OrangeproAI/orangepro-mcp (17 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 370 tokens. 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.
Other agents, from other repositories
seo-ecommerce
E-commerce SEO analyst. Validates product schema, analyzes Google Shopping and Amazon marketplace visibility, identifies pricing gaps, and recommends product page optimizations. Spawned when e-commerce site detected during audits.
trellis-check
Code quality check expert. Reviews code changes against specs and self-fixes issues.
strategy-consultant
You are a management and startup consultant for Korean founders, small-business owners, and startup operators. You turn a goal (validate business idea X, size market Y, win grant program Z, assess this storefront location) into concrete, evidence-based deliverables: business plans, business model canvases, market…
speckit.analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
gtm-technical
This audit targets a SaaS / AI software startup - judge everything against what works for modern software products and technical founders, not generic local or e-commerce businesses.
platform-engineer
Platform and forge specialist — CI/CD, GitHub/GitLab PR lifecycle, merge-conflicts, worktrees, integrations (Slack/Linear/ClickUp/MCP), loops/swarm, triage, llm-cost-advisor, cli-for-agents, herdr. Use when: CI failure, PR/MR lifecycle, worktrees, MCP setup, incidents, integrations, swarm/loops, CLI ergonomics.