Agent skill · Audited from source
Amazon Fba Prep
skill · nexscope-ai/Amazon-SkillsMIT licenceAudited 19 Oct 2026 · source 1bc9142374b1
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 1bc9142374b1 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Build a product-specific Amazon FBA prep, labeling, packing, and shipment-readiness plan. Use when a seller asks how to prepare units for FBA, choose barcode and labeling steps, plan poly-bagging, bubble wrap, sets,…
Cite
Cite this page
ModelsAtlas. “Amazon Fba Prep (nexscope-ai/Amazon-Skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/nexscope-ai/amazon-fba-prep
Trust audit
Audit 0.4.1 · source read 19 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha 1bc9142374b1 · 19 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
- Source foldernexscope-ai/Amazon-Skills/amazon-fba-prepThe exact folder we audited
- LicenceMITAs the repository states it
- Commit pinned for this verdict1bc9142374b1A new audit runs when the source changes
- Repository statusNot archivedLast push 54 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Build a product-specific Amazon FBA prep, labeling, packing, and shipment-readiness plan. Use when a seller asks how to prepare units for FBA, choose barcode and labeling steps, plan poly-bagging, bubble wrap, sets,…
--- name: amazon-fba-prep description: Build a product-specific Amazon FBA prep, labeling, packing, and shipment-readiness plan. Use when a seller asks how to prepare units for FBA, choose barcode and labeling steps, plan poly-bagging, bubble wrap, sets, case packs, cartons, dangerous-goods review, supplier or prep-center instructions, or prevent receiving delays. Do not use as a substitute for current Seller Central requirements. --- # Amazon FBA Prep Convert product and shipment facts into a traceable unit-prep specification, carton plan, handoff checklist, and final go/hold decision before inventory is sent to Amazon. ## Installation ```bash npx skills add nexscope-ai/Amazon-Skills --skill amazon-fba-prep -g ``` ## Capabilities - Build a SKU-level prep and labeling matrix. - Identify product attributes that trigger additional review or preparation. - Plan barcode choice, label placement, unit packaging, sets, case packs, and carton QA. - Create supplier, factory, warehouse, or prep-center work instructions. - Compare self-prep, supplier prep, prep-center, and available Amazon service options. - Produce a shipment-readiness audit with evidence, owners, and blocking issues. ## Usage Examples ```text Walk me through FBA prep for 500 glass water bottles. ``` ```text Create a supplier-ready prep sheet for this three-piece kitchen bundle. ``` ```text I have apparel, cosmetics, and battery-powered items. Tell me which SKUs need separate FBA prep verification. ``` ```text Audit my first FBA shipment plan and flag anything that could delay receiving. ``` ## Inputs and Collection Use supplied evidence first. Collect: - target Amazon marketplace, ship-from location, account access, and shipment workflow status; - SKU, ASIN, FNSKU or other barcode data, quantity, condition, and ownership of each unit; - exact product type, included items, set or multipack status, dimensions, weight, and packaging dimensions; - materials, fragility, sharp edges, liquids, powders, textiles, small parts, expiration dates, lot controls, magnets, batteries, chemicals, temperature sensitivity, and regulated claims; - current retail packaging, visible barcodes, labels, seals, openings, and scannability; - individual or case-packed configuration, carton counts, carton dimensions/weights, pallet use, and carrier plan; - who will prep, label, inspect, photograph, and approve the shipment. If essential fields are missing, ask one consolidated follow-up. Continue with an incomplete checklist only when every assumption and blocked decision is clearly marked. ## Workflow ### 1. Establish the Evidence Boundary State what was inspected: product specification, packaging photos, barcode files, compliance documents, Seller Central instructions, shipment plan, carton labels, or provider quote. Classify each finding: - **Confirmed:** supported by inspected evidence or current official instructions. - **Needs verification:** plausible, but requires the target marketplace's Seller Central workflow or current official source. - **Blocked:** missing information could make the prep plan unsafe or noncompliant. Do not infer that a product is non-hazardous, unrestricted, non-expiring, or standard-size because the seller did not mention otherwise. ### 2. Run the Product Attribute Triage For every SKU, explicitly screen for: - liquid, gel, cream, powder, granular, or aerosol contents; - glass, ceramic, sharp, fragile, crushable, or leak-prone parts; - apparel, textiles, plush, footwear, jewelry, or exposed surfaces; - loose pieces, sets, multipacks, bundles, or items requiring assembly; - batteries, electronics, magnets, chemicals, or dangerous-goods indicators; - expiration, best-before, lot, serial, temperature, or shelf-life controls; - adult products, children's products, food, supplements, cosmetics, medical, or other regulated categories; - existing UPC/EAN/ISBN, Amazon barcode, Transparency code, serial label, or other scannable marks. Route any positive result to the current product-specific requirements. Do not reuse a generic prep decision across variants without confirming that their attributes match. ### 3. Select and Verify Identification Document the barcode path shown in Seller Central for the SKU. Amazon may use manufacturer barcodes, Amazon barcodes, or other program-specific codes depending on product and account eligibility. For each unit: - identify the required scannable code and source file; - confirm that the label text matches SKU, condition, and product; - specify who prints and applies the label; - place it on a flat, readable surface and outside any final prep layer when required; - identify other barcodes that must remain visible, be covered, or be rendered unscannable; - run a scan test after final packaging. Never generate, alter, or assign identifiers from guesswork. ### 4. Define Unit Preparation Write a per-SKU instruction that covers: - final sellable unit and what the customer should receive; - primary packaging and closure method; - required bagging, wrapping, boxing, sealing, cushioning, or set labeling; - protection for leakage, sharp edges, breakage, dust, and loose parts; - warning, expiration, suffocation, lot, or other labels only when current rules require them; - barcode position after preparation; - drop, leak, seal, scan, or visual QA tests appropriate to the item; - acceptable evidence photo for completion. Use the latest target-marketplace requirements for dimensions, material thickness, warning language, tests, and thresholds. Do not hard-code values when Seller Central can apply a SKU-specific instruction. ### 5. Plan Packing and Shipment Creation Keep unit prep separate from carton packing and shipment creation. For cartons: - distinguish individual products from case-packed inventory; - record units per carton, mixed-SKU status, dimensions, weight, and void-fill method; - protect retail units without making final units unscannable; - remove, cover, or in
Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 1bc9142
npx skills add nexscope-ai/Amazon-Skills --skill amazon-fba-prep -g
git clone https://github.com/nexscope-ai/Amazon-Skills git -C Amazon-Skills checkout 1bc9142374b1
Commands as the repository documents them: shown, never run by us. Our verdict covers commit 1bc9142374b1 only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
1bc9142374b1
README badge
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Questions about Amazon Fba Prep
What does the Amazon Fba Prep skill do?
Is Amazon Fba Prep safe to install?
What can Amazon Fba Prep access on my machine?
How current is this page?
Sources
- github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-fba-prep — the audited source at commit 1bc9142374b1 and every finding aboveObserved · 19 Oct 2026
Spotted something wrong? Report a correction · Methodology
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Opens with this page as the source. We add nothing else to the prompt.
- What does the Amazon Fba Prep skill do?
- Is Amazon Fba Prep safe to install?
- What can Amazon Fba Prep access on my machine?