household-world

household-world is a skill for Claude Code, Codex from MiaoDX/roboclaws. It costs 14 tokens per session (2,000 once invoked), scanned A, original, MIT.

A skill for completing household-world goals through the public robot-control tools available during a run.

In plain words
What is it for?
It helps agents carry out open-ended household tasks such as finding objects, moving them, cleaning up, and reporting completion or a public blocker.
Why use it?
It gives the agent a defined way to search, inspect, manipulate objects, recover from problems, and decide when a household task is complete without using private evaluation data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps agents carry out open-ended household tasks such as finding objects, moving them, cleaning up, and reporting completion or a public blocker.

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Install with agentmods
npx agentmods add skills/miaodx/roboclaws/household-world
Install

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.

Any agent
npx skills add MiaoDX/roboclaws --skill household-world
Clone the repo
git clone --depth 1 https://github.com/MiaoDX/roboclaws

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for household-world

README.md
[![agentmods](https://agentmods.dev/badge/skills/miaodx/roboclaws/household-world/github.svg)](https://agentmods.dev/skills/miaodx/roboclaws/household-world)
Your own site
<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.

agentmods 80×15 button for household-world

Your own site · 80×15
<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>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,000 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 10d ago against content hash f15b73c2277b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/scratchpad.py, scripts/target_query_recovery.py, scripts/trace_preserving_cleanup.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/household-world/SKILL.md · 185 lines

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 call roboclaws__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 call done only 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

  1. Call roboclaws__metric_map() when map context is needed. Cleanup and map-build presets call it first.
  2. Treat metric_map.inspection_waypoints as public coverage candidates, not private task hints. Use Base Metric Map waypoints, public room labels, Runtime Metric Map evidence, and roboclaws__resolve_target_query() for named places, stale labels, destinations, or open-ended search terms.
  3. Navigate only through public waypoints or public target candidates with roboclaws__navigate_to_waypoint(), then observe with roboclaws__observe(). Use roboclaws__adjust_camera() only for bounded public recovery when target or observation evidence is incomplete.
  4. 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.
  5. Keep all reasoning tied to public observations, target candidates, public semantic anchors, inspected viewpoints, and the returned public search budget.

Read the full file on GitHub · 185 lines

Files

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.

Changes

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.

  1. 10d ago First seen · 185 lines · 14 tokens per session scan A f15b73c2277b

Subscribe to this mod's changes

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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