cowork-home-inventory

cowork-home-inventory is a skill for Claude Code, Codex from OneWave-AI/claude-skills. It costs 55 tokens per session (744 once invoked), scanned A, original, MIT.

A tool for documenting household belongings from photos and receipts. It organizes items by room, connects them to proof of purchase when possible, and distinguishes documented prices from estimated replacement costs.

In plain words
What is it for?
Use it to prepare an insurance-ready home inventory, identify brands and serial numbers, match receipts to photographed items, estimate replacement costs, and maintain the record after new purchases.
Why use it?
After a fire, flood, or theft, people may struggle to remember what they owned and prove its value. This creates an organized record and highlights items that still need evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Use it to prepare an insurance-ready home inventory, identify brands and serial numbers, match receipts to photographed items, estimate replacement costs, and maintain the record after new purchases.

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Install with agentmods
npx agentmods add skills/onewave-ai/claude-skills/cowork-home-inventory
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 OneWave-AI/claude-skills --skill cowork-home-inventory
Clone the repo
git clone --depth 1 https://github.com/OneWave-AI/claude-skills

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 cowork-home-inventory

README.md
[![agentmods](https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-home-inventory/github.svg)](https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-home-inventory)
Your own site
<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-home-inventory"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-home-inventory/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 cowork-home-inventory

Your own site · 80×15
<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-home-inventory"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-home-inventory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 744 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00055 $0.00744
Opus 5 $0.00028 $0.00372
Sonnet 5 $0.00011 $0.00149
Haiku 4.5 $0.00006 $0.00074

Measured 12d ago against content hash 52643b63ef9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cowork-home-inventory 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 12d 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.

cowork-home-inventory/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cowork Home Inventory

Build the document everyone wishes they had after the fire, flood, or break-in: a room-by-room inventory with values and proof. Input: a folder of photos (room shots, close-ups, serial-number shots) and receipts (PDF, email exports, images). Output: a structured inventory file plus a gap list of what still needs documenting.

Workflow

  1. Process the photos. Identify items in each image: what it is, brand/model when visible, condition, and the room (from filename, folder structure, or visual context). Read serial numbers and model plates from close-ups. Group multiple angles of the same item.
  2. Process the receipts. Extract item, vendor, date, and price from every receipt. Match receipts to photographed items where possible -- a matched receipt upgrades an item from "estimated" to "documented."
  3. Value the inventory. For receipt-matched items: purchase price and date. For unmatched items: estimated replacement cost (current retail for an equivalent, via web search for significant items), clearly labeled ESTIMATE. Never present an estimate as a documented value.
  4. Build the inventory. Output home-inventory.csv (or .xlsx via the xlsx skill) -- room, item, brand/model, serial, purchase date, purchase price, replacement estimate, documentation status, photo filename(s), receipt filename -- plus home-inventory-summary.md: totals by room and category, the high-value items list, and overall documented vs. estimated ratio.
  5. Gap list. What insurance will ask for that is missing: high-value items with no receipt (jewelry, electronics, instruments -- may need appraisals or serial-number photos), rooms with no coverage, items where only a wide shot exists. Rank by value at risk. Suggest the 20-minute photo walk that closes the worst gaps.

Rules

  • Documented and estimated values never blend: every line is labeled, and the summary reports both totals separately.
  • Never inflate. Replacement estimates use realistic current retail for equivalent items, not premium substitutes.
  • Serial numbers are gold: capture every legible one, and put items that should have one but don't on the gap list.
  • Do not catalog people, documents with financial account numbers, or anything in photos beyond the possessions themselves.
  • Note policy-relevant thresholds generically ("many policies sub-limit jewelry; confirm your rider") without interpreting the user's actual policy -- unless the policy document is in the folder, in which case cite its stated limits next to the relevant categories.
  • Keep the inventory file local and note in the summary that a copy belongs somewhere that survives the house (cloud drive, safe deposit).

Read the full file on GitHub · 39 lines

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. 12d ago First seen · 39 lines · 55 tokens per session scan A 52643b63ef9a

Subscribe to this mod's changes

cowork-home-inventory is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 744 once invoked, about $0.0003 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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