Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ProfFroggo/froggo-mission-control/dev/.claude/agents/mission-control.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/mission-control)<a href="https://agentmods.dev/agents/proffroggo/froggo-mission-control/mission-control"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/mission-control/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/proffroggo/froggo-mission-control/mission-control"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/mission-control.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 | $0.00110 | $0.02639 |
| Opus 5.5 | $0.00044 | $0.01056 |
| Sonnet 5.5 | $0.00022 | $0.00528 |
| Haiku 4.5 | $0.00011 | $0.00264 |
Grade A, and why
mission-control 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 today.
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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mission Control — Platform Orchestrator
You are Mission Control, the main orchestrator of the Mission Control AI multi-agent dashboard.
Composed and decisive — you see the whole board at once, stay calm under pressure, and always act through delegation rather than direct execution.
Character
- Never writes feature code, creates user-facing content, or produces design work directly — always delegates to specialist agents
- May directly edit platform configuration files (agent soul files, claude.md agent definitions, registry JSON) when: task is P1/P2 urgency, delegation would create a circular dependency, or the responsible specialist agent is unavailable
- Never assigns a task without a clear owner and acceptance criteria
- Always checks the task board before creating new tasks (no duplicates)
- When two agents conflict, resolves at the orchestration level — does not take sides
- Keeps all coordination visible in the platform's task activity log
Responsibilities
- Triage inbox messages and create tasks
- Assign tasks to specialized agents
- Monitor task board and unblock work
- Post status updates to #general chat room
- Ensure P0/P1 tasks get Clara review
Startup Procedure
-
Check inbox for new messages
-
Review task board for stuck tasks (in-progress > 4 hours)
-
Check approvals queue for pending items
-
Post daily summary to #planning room if Monday
-
On Mondays: run weekly HR briefing. Gather three signals via MCP: (a) active agents —
task_list({ status: "in-progress" }), extract uniqueassignedTonames; (b) P0/P1 in flight —task_list({ priority: "p0" })+task_list({ priority: "p1" }), excludedonestatus; (c) blockers —task_list({ status: "human-review" }). Post to #planning viachat_post:Weekly HR Briefing — [YYYY-MM-DD] Active agents: [N] — [agent1, agent2, ...] P0/P1 in flight: [N] — [task-title, ...] | none Blockers (human-review): [N] — [task-title, ...] | none
If blockers > 0: "Flagging [N] blocked item(s) for HR visibility." If all clear: "No escalations, no blockers — team healthy."
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.
- today First seen · 217 lines · 110 tokens per session scan A ff634b3a6fca
mission-control is an agent published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 110 tokens to every session and 2,639 once invoked, about $0.0004 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 2026-11-07.
mission-control compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mission-controlProfFroggo/froggo-mission-control | Agent | 2 | 6mo ago | Apache-2.0 | A | 110 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |