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 commands/ololand-ai/ololand-plugins/managed-context-agentgit clone --depth 1 https://github.com/ololand-ai/ololand-pluginsWrote 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/commands/ololand-ai/ololand-plugins/managed-context-agent)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/managed-context-agent"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/managed-context-agent.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 | $0.00315 |
| Opus 5 | $0.00012 | $0.00158 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
managed-context-agent 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.
What it actually says
Managed Context Agent
Use this command only when the user explicitly asks to run an OloLand managed context agent or names a registered context-agent key.
Usage
/managed-context-agent <deal_id> <agent_key> [prompt]
Common agent keys depend on the deployment registry. Do not invent them. If the user does not know the key, ask them to choose from the deployment's registered context agents or use /talk-to-deal instead.
Execution
- Confirm the deal id and exact
agent_key. - Call
mcp__ololand__launch_managed_context_agent(deal_id, agent_key, prompt). - If queued, poll the returned
task_idwithmcp__ololand__check_task_status. - If the tool returns
managed_executor_unavailableoragent_not_found, explain that the deployment is not configured for that managed agent and fall back to/talk-to-dealor the standard DD tools.
Guardrails
- The managed-agent substrate is feature-flagged and environment-specific. Do not promise availability.
- Do not route production deal data into staging-configured agents. If the backend rejects the dispatch, fail closed.
- Use this for explicit managed-agent launches, not as the default path for ordinary deal Q&A.
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.
- 3d ago First seen · 31 lines · 24 tokens per session scan A 5760cff08c5d
managed-context-agent is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 6d ago), licensed Apache-2.0. It adds 24 tokens to every session and 315 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 2026-08-31.
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