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 zju3dv/habitat-gs --skill habitat-gs-controlgit clone --depth 1 https://github.com/zju3dv/habitat-gsWrote 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/zju3dv/habitat-gs/habitat-gs-control)<a href="https://agentmods.dev/skills/zju3dv/habitat-gs/habitat-gs-control"><img src="https://agentmods.dev/badge/skills/zju3dv/habitat-gs/habitat-gs-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/zju3dv/habitat-gs/habitat-gs-control"><img src="https://agentmods.dev/badge/skills/zju3dv/habitat-gs/habitat-gs-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 | $0.00080 | $0.01066 |
| Opus 5 | $0.00040 | $0.00533 |
| Sonnet 5 | $0.00016 | $0.00213 |
| Haiku 4.5 | $0.00008 | $0.00107 |
Grade A, and why
habitat-gs-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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
habitat-gs-control
Control a robot navigating through photo-realistic 3D indoor environments. You have MCP tools for scene loading, movement, observation, and autonomous navigation.
IMPORTANT: Always use MCP tools (hab_init, hab_look, hab_forward, etc.) directly. Do NOT use exec or shell commands — the MCP tools are the only supported interface.
What you can do
- Observe:
hab_look(current view),hab_panorama(4-direction scan with depth),hab_depth_analyze(obstacle distances) - Move:
hab_forward(walk forward),hab_turn(rotate left/right) - Navigate:
hab_navigate(auto-walk to coordinates),hab_find_path(plan route),hab_topdown(overhead map) - Long tasks:
hab_nav_loop_start(launch autonomous navigation sub-agent),hab_nav_loop_status(check progress),hab_nav_loop_stop - Session:
hab_init(load scene),hab_close(end session),hab_export_video(replay video)
How to use
- Always init first: call
hab_initto load a scene before anything else. - Look before you move: use
hab_lookorhab_panoramato see the environment, then decide where to go. - For simple tasks (move forward, look around): use tools directly.
- For complex navigation (find an object, reach a goal, follow instructions): use
hab_nav_loop_startwith a goal description. It launches an autonomous sub-agent that navigates independently. Check progress withhab_nav_loop_statusonly when asked. - Export video when the task is done:
hab_export_videoencodes all captured frames into an mp4.
Navigation modes
The scene may run in two modes (auto-detected):
| navmesh | mapless | |
|---|---|---|
Map tools (hab_navigate, hab_find_path, hab_topdown) |
available | not available |
| Coordinates visible | yes | no — only euclidean_distance_to_goal and goal_direction_deg |
| How to navigate | use hab_navigate for efficient multi-step movement |
use hab_forward/hab_turn with depth checks |
What ships with it
10 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.
- references/depth-sensing.md 2.2 KB
- references/media-delivery.md 2.2 KB
- references/navigation-modes.md 2.6 KB
- references/state-protocol.md 3.5 KB
- references/task-eqa.md 3.0 KB
- references/task-imagenav.md 2.6 KB
- references/task-instruction-following.md 3.1 KB
- references/task-objectnav.md 2.3 KB
- references/task-pointnav.md 1.8 KB
- references/tool-reference.md 1.4 KB
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 · 81 lines · 80 tokens per session scan A f93d0b704277
habitat-gs-control is a skill published in the GitHub repository zju3dv/habitat-gs (295 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 1,066 once invoked, about $0.0004 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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