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 MiaoDX/roboclaws --skill household-worldgit clone --depth 1 https://github.com/MiaoDX/roboclawsWrote 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/miaodx/roboclaws/household-world)<a href="https://agentmods.dev/skills/miaodx/roboclaws/household-world"><img src="https://agentmods.dev/badge/skills/miaodx/roboclaws/household-world/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/miaodx/roboclaws/household-world"><img src="https://agentmods.dev/badge/skills/miaodx/roboclaws/household-world.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 | $0.00014 | $0.02000 |
| Opus 5 | $0.00007 | $0.01000 |
| Sonnet 5 | $0.00003 | $0.00400 |
| Haiku 4.5 | $0.00001 | $0.00200 |
Grade A, and why
household-world 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 10d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Household World
Use only the roboclaws__* MCP tools exposed for the run. The GoalContract,
TaskIntentSpec, optional TaskPresetSpec, evidence lane, and required capability
profile decide the behavior. Task type does not create a separate runner or
skill.
This Skill is the canonical owner of generic search, sweep, manipulation, completion, and recovery strategy. Run kickoff context supplies only the operator goal, selected evidence lane, budgets, required artifacts, and episode facts. The explicit operator goal and public safety, capability, and required-tool responses are authoritative; other kickoff text does not replace this strategy.
Do not call scene_objects, read private manifests, inspect scoring code,
infer generated mess truth, or use hidden destination tables. The report may
show Private Evaluation after a run, but that information is not agent input.
Intent Routing
- No preset,
intent=open-ended: the operator goal is authoritative. Inspect only as much as the goal needs, use public map/observation/target-query evidence, and callroboclaws__done(reason)when the goal is satisfied, blocked by a public capability response, or exhausted by the public search budget. preset=cleanup,intent=cleanup: run a full household cleanup sweep. Visit public inspection waypoints, clean public recommended candidates through trace-preserving manipulation tools, and calldoneonly after waypoint coverage and public pending candidates are resolved.preset=map-build,intent=map-build: build Runtime Metric Map evidence. Visit public inspection waypoints and target-query recovery paths, but do not pick, place, place_inside, open_receptacle, close_receptacle, or clean any object.
Shared Loop
- Call
roboclaws__metric_map()when map context is needed. Cleanup and map-build presets call it first. - Treat
metric_map.inspection_waypointsas public coverage candidates, not private task hints. Use Base Metric Map waypoints, public room labels, Runtime Metric Map evidence, androboclaws__resolve_target_query()for named places, stale labels, destinations, or open-ended search terms. - Navigate only through public waypoints or public target candidates with
roboclaws__navigate_to_waypoint(), then observe withroboclaws__observe(). Useroboclaws__adjust_camera()only for bounded public recovery when target or observation evidence is incomplete. - Follow public recovery responses such as
required_tool,required_next_tool,blocked_capability,destination_options,target_actionability_status, and actionability status. Do not invent fixture ids from stale map labels. - Keep all reasoning tied to public observations, target candidates, public semantic anchors, inspected viewpoints, and the returned public search budget.
What ships with it
4 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.
- 10d ago First seen · 185 lines · 14 tokens per session scan A f15b73c2277b
household-world is a skill published in the GitHub repository MiaoDX/roboclaws (6 stars, last pushed 8d ago), licensed MIT. It adds 14 tokens to every session and 2,000 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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