Best fit
Bulk catalog work stalls when images cannot be deterministically matched to SKU rows or silently collide across filename case rules.
// E-commerce
Image-to-SKU Match Checker
Reconcile product image filenames to a SKU roster and flag missing, extra, unknown, and colliding matches.
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Package requirements: Normalized UTF-8 JSON input documented in the package. Python 3.10 or newer on Windows, macOS, or Linux. Local files only; no live account or provider connection.
You get: findings.csv with stable codes and record identifiers review-manifest.csv with every reviewed item
Licence and purchase details
Review the package licence at the destination.
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Agensi access: This product’s bundled-script workflow through Agensi has not been verified here. Tests of other products do not establish this package’s compatibility. Local setup examples apply to separately obtained downloadable packages.
What problem does Image-to-SKU Match Checker solve?
Bulk catalog work stalls when images cannot be deterministically matched to SKU rows or silently collide across filename case rules.
Use it to
- Reconcile a photographer handoff to a product roster.
- Find SKUs with missing or extra images.
- Catch case-folding collisions before cross-platform transfer.
What it returns
- findings.csv with stable codes and record identifiers
- review-manifest.csv with every reviewed item
- result.json with READY, REVIEW, or BLOCK gate
- report.md with a human-readable decision handoff
A representative input and result
input {"roster":[{"sku":"SKU-10","expected_count":1}],"files":[{"path":"photos/SKU-10-front.jpg"}]}
result READY; SKU-10 matched to one image; no files changed.
Access and approval boundaries
- Read access to one user-supplied local JSON evidence file.
- Write access only to the selected local output directory.
- No browser, network, credential, account, environment-variable, or external-action permission.
Known limitations
- Matching quality depends on the supplied SKU pattern and roster.
- The package does not inspect pixels or infer visual identity.
- It writes a review manifest but never renames, moves, or uploads images.
// choose with context
Is Image-to-SKU Match Checker the right skill?
It returns
findings.csv with stable codes and record identifiers. review-manifest.csv with every reviewed item.
Do not use it as
Matching quality depends on the supplied SKU pattern and roster.
Compatibility, access, version, and licence
- Reads or accesses
- Declared local scope: one owner-selected local JSON input, one owner-selected local output directory.
- Compatibility
- Normalized UTF-8 JSON input documented in the package. Python 3.10 or newer on Windows, macOS, or Linux. Local files only; no live account or provider connection.
- Version
- 1.0.0
- Licence
- Review the package licence and seller terms at the linked destination.
Questions
Does it change or upload anything?
No. It reads supplied local evidence and writes only to the selected output directory.
Is this an AI judgment?
No. The packaged checker is deterministic and applies documented rules to the supplied input.
What does a ready result mean?
It means no automated finding was produced. The responsible owner still reviews the original source and decides what to do.
How does malformed input behave?
Invalid JSON, duplicate identifiers, missing required arrays, and invalid core values fail closed.
Can I audit the result?
Yes. Every finding carries a stable code, record identifier, severity, source, and message.
Image-to-SKU Match Checker keeps proof and approval boundaries visible.
The listing includes the tested package, realistic samples, declared permissions, and known limitations.
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