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.
npx agentmods add skills/darrenhinde/openagentscontrol/external-researchnpx skills add darrenhinde/OpenAgentsControl --skill external-researchgit 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/skills/darrenhinde/openagentscontrol/external-research)<a href="https://agentmods.dev/skills/darrenhinde/openagentscontrol/external-research"><img src="https://agentmods.dev/badge/skills/darrenhinde/openagentscontrol/external-research.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00812 |
| Opus 5 | $0.00012 | $0.00406 |
| Sonnet 5 | $0.00005 | $0.00162 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
external-research 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 5d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
External Scout
Overview
Fetch and cache current documentation for external libraries and frameworks. Training data is outdated—this skill ensures you use current, correct API patterns.
Announce at start: "I'm using the external-scout skill to fetch current docs for [package]."
The Process
Step 1: Invoke External-Scout
Request documentation with package and topic:
/external-scout <package> <topic>
Examples:
/external-scout drizzle schemas
/external-scout react hooks
/external-scout express middleware
/external-scout zod validation
Step 2: Check Response
External-scout returns JSON with cached file paths:
{
"status": "success",
"package": "drizzle",
"topic": "schemas",
"cached": true,
"files": [
".tmp/external-context/drizzle/schemas.md"
],
"metadata": {
"cachedAt": "2026-02-16T10:30:00Z",
"source": "context7",
"age": "fresh"
}
}
Cache status:
"fresh"— < 7 days old (use cached)"stale"— > 7 days old (re-fetches automatically)
Step 3: Load Cached Documentation
Read the returned file:
Read: .tmp/external-context/drizzle/schemas.md
This file contains current API patterns, examples, and best practices.
Step 4: Apply to Implementation
Use loaded documentation to:
- Verify API signatures are correct
- Follow current patterns (not training data)
- Check for deprecations
- Use new features introduced since training
Step 5: Implement with Confidence
Now that you have current docs, implement following verified patterns.
Example: Using Drizzle ORM
1. Invoke: /external-scout drizzle schemas
2. Response:
{
"status": "success",
"files": [".tmp/external-context/drizzle/schemas.md"]
}
3. Load: Read .tmp/external-context/drizzle/schemas.md
4. Review: Current API for defining tables and relations
5. Implement: Use current patterns from loaded docs
Cache Location
.tmp/external-context/
├── drizzle/
│ ├── .metadata.json
│ ├── schemas.md
│ └── queries.md
├── react/
│ ├── .metadata.json
│ └── hooks.md
└── express/
├── .metadata.json
└── middleware.md
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.
- 5d ago First seen · 149 lines · 24 tokens per session scan A 23926ffcc7ce
external-research is a skill published in the GitHub repository darrenhinde/OpenAgentsControl (4,820 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 812 once invoked, about $0.0001 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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