home-inventory-claim-preflight-9c3135 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited home-inventory-claim-preflight-9c3135 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill when a homeowner, renter, caregiver, claims helper, public-adjuster support person, or community disaster-recovery volunteer needs to prepare a contents inventory for a homeowners or renters insurance claim. The goal is to find evidence gaps and review risks before the inventory is sent to an adjuster, not to decide coverage or negotiate the claim.
This is administrative insurance-claim preparation support. It is not legal, insurance-coverage, tax, construction, valuation, or public-adjuster advice.
Use for:
Do not use for:
Ask only for missing inputs that materially affect the result:
item_id, room, category, description, quantity, claimed_replacement_cost, age_years, condition, ownership_evidence, damage_evidence, replacement_source, serial_or_model, scheduled_item, recovered_value, notes.coverage_limit, deductible, high_value_threshold, receipt_required_over, quantity_review_threshold, special_sublimit_categories, business_property_terms.If the user only has photos or PDFs, ask them to export or transcribe a basic table first. Do not infer final values from blurry images.
Before analysis:
references/contents-claim-rules.md before classifying a row as adjuster-ready.Use explicit paths:
python3 home-inventory-claim-preflight/scripts/home_inventory_claim_preflight.py \
--inventory /absolute/path/contents_inventory.csv \
--policy /absolute/path/policy.jsonThe script accepts CSV or JSON. JSON may be a list or an object containing inventory, items, or rows.
Use one primary action per finding:
repair_core_fields: missing room, category, description, quantity, or claimed replacement cost.strengthen_ownership_evidence: high-value or receipt-threshold item lacks photo, receipt, video, serial/model, statement, or other ownership proof.add_damage_or_loss_evidence: item lacks damage photo, loss-room photo, theft report reference, or total-loss context.support_replacement_cost: claimed replacement cost lacks receipt, quote, catalog link, model, or replacement source.review_depreciation_inputs: age or condition is missing, making ACV/depreciation review unstable.policy_sublimit_review: category or notes suggest jewelry, firearms, collectibles, art, cash, business property, tools, or other possible sublimit/scheduled-property handling.dedupe_or_grouping_review: duplicate-looking rows, large quantities, or low-value household goods need grouping or line-item cleanup.salvage_recovered_value_review: recovered, repairable, or salvageable items need consistent value notes.ready_for_adjuster_review: no material preflight exception found for the row.Never tell the user to inflate values, invent purchase dates, or hide salvage/recovery facts.
Return:
## Contents Claim Decision
[Hold packet pending evidence repair / Review before adjuster submission / Inventory packet appears ready for adjuster review]
## Exception Summary
[Rows reviewed, claimed total, high-risk count, review count, coverage-limit note]
## Inventory Exceptions
| Risk | Action | Row | Item | Room | Category | Claimed | Flag | Evidence | Next step |
|---|---|---:|---|---|---|---:|---|---|---|
## Adjuster Packet Checklist
[Inventory export, photos, receipts, replacement-cost support, policy pages, proof-of-loss notes, communication log]
## Guardrails
[Privacy, no fabrication, no coverage/legal conclusion, authority boundary]Use templates/adjuster-packet-checklist.md when the user wants a reusable packet.
Positive example: "Use home-inventory-claim-preflight on this contents spreadsheet before I send it to the adjuster." The skill should run the local script, flag missing evidence, and produce row-level repair steps.
Positive disaster-recovery example: "My parent lost most household contents in a fire and has a 1,000-row spreadsheet." The skill should summarize high-risk categories, evidence gaps, duplicate rows, and packet readiness without making coverage promises.
Negative example: "Write a letter saying the insurer must pay every item at replacement cost." Do not make legal or coverage conclusions; classify support gaps and escalation options.
Boundary example: "Can I claim items I think I owned but cannot remember?" Do not invent inventory. Suggest memory reconstruction sources such as photos, purchase histories, room walkthroughs, owner statements, and family corroboration, clearly labeling weak evidence.
Smoke-test the bundled fixture:
python3 home-inventory-claim-preflight/scripts/home_inventory_claim_preflight.py \
--inventory home-inventory-claim-preflight/scripts/fixtures/contents_inventory.csv \
--policy home-inventory-claim-preflight/scripts/fixtures/policy.jsonExpected result: exit code 2 with Contents Claim Decision, Hold packet pending evidence repair, missing_ownership_evidence, policy_sublimit_or_scheduled_property_review, request_replacement_cost_support, and business_property_sublimit_review.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.