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 skills add terrense/ros2-multimodal-robot-collab --skill mission-controlgit clone --depth 1 https://github.com/terrense/ros2-multimodal-robot-collabWrote 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/terrense/ros2-multimodal-robot-collab/mission-control)<a href="https://agentmods.dev/skills/terrense/ros2-multimodal-robot-collab/mission-control"><img src="https://agentmods.dev/badge/skills/terrense/ros2-multimodal-robot-collab/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/skills/terrense/ros2-multimodal-robot-collab/mission-control"><img src="https://agentmods.dev/badge/skills/terrense/ros2-multimodal-robot-collab/mission-control.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.00222 |
| Opus 5 | $0.00020 | $0.00111 |
| Sonnet 5 | $0.00008 | $0.00044 |
| Haiku 4.5 | $0.00004 | $0.00022 |
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 13d 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
Mission Control Skill
Call the /mission/deliver_tool ROS2 Action when the user intent is a complete delivery task.
Required inputs:
tool_id: stable tool identifier, such ashex_key_3mmtarget_station: known station id, such asstation_aoperator_id: verified or claimed operator id
Action:
- Type:
robot_collab_interfaces/action/DeliverTool - Name:
/mission/deliver_tool
Planner rules:
- Verify the operator before dispatching motion.
- Prefer this skill over direct navigation/manipulation calls for normal user-facing tasks.
- If feedback state enters
RECOVER_NAVIGATIONorRECOVER_MANIPULATION, ask System State Skill before retrying. - If the user cancels, cancel the active action goal and use HRI Skill to acknowledge.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 28 lines · 41 tokens per session scan A 6fbdc2bd902b
mission-control is a skill published in the GitHub repository terrense/ros2-multimodal-robot-collab (111 stars, last pushed 18d ago), licensed MIT. It adds 41 tokens to every session and 222 once invoked, about $0.0002 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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