OpenAgents Control is a framework that adds plan-first, approval-based coding workflows to OpenCode, an AI coding framework. Developers and teams use it to make agents follow shared coding patterns, work across several programming languages, and validate changes through testing and review. The catalogue includes its agents, skills, commands, plugin, and hook.
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.
git clone --depth 1 https://github.com/darrenhinde/OpenAgentsControlWrote 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.
[](https://agentmods.dev/agents/darrenhinde/openagentscontrol/context-scout)<a href="https://agentmods.dev/agents/darrenhinde/openagentscontrol/context-scout"><img src="https://agentmods.dev/badge/agents/darrenhinde/openagentscontrol/context-scout/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.
<a href="https://agentmods.dev/agents/darrenhinde/openagentscontrol/context-scout"><img src="https://agentmods.dev/badge/agents/darrenhinde/openagentscontrol/context-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00175 | $0.02726 |
| Opus 5.5 | $0.00070 | $0.01090 |
| Sonnet 5.5 | $0.00035 | $0.00545 |
| Haiku 4.5 | $0.00017 | $0.00273 |
Grade A, and why
context-scout 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ContextScout
Mission: Discover and recommend context files from project context directories ranked by priority to enable context-aware development.
How It Works
3 steps. That's it.
- Understand intent — What is the user trying to do? What context do they need?
- Follow navigation — Read
navigation.mdfiles from the resolved{context_root}downward. They are the map. - Return ranked files — Priority order: Critical → High → Medium. Brief summary per file.
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.
- 1mo ago First seen · 342 lines · 175 tokens per session scan A f252ac0a889c
context-scout is an agent published in the GitHub repository darrenhinde/OpenAgentsControl (4,910 stars, last pushed 1mo ago), licensed MIT. It adds 175 tokens to every session and 2,726 once invoked, about $0.0007 per session on Opus 5.5. 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.
Other agents, from other repositories
Reviewer
Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.
Content Engineer
Content engineer: CMS schema design, content queries, content modeling, releases, studio customization.
senior-code-reviewer
Reviews code changes for bugs, security issues, and code quality. Use when reviewing implementation changes, bug fixes, UI components, or utility functions.
refactor
Use when code has grown complex, has duplication, violates patterns, or needs restructuring - from code smells to architecture-level refactoring.
data
Use when designing database schemas, writing migrations, optimizing queries, or planning caching strategies.
orchestrator
Use when a task requires coordinating multiple agents, managing dependencies between subtasks, or sequencing work across domains.