// Marketing

UTM Link Consistency Checker

Check campaign links for missing UTMs, duplicate parameters, case drift, off-policy values, and possible PII.

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Format: Agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.

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; result.json and report.md for the outcome and review summary.

Licence and purchase details

Review the package licence at the destination.

Review the offer and access method at your chosen marketplace. Agensi provides connected-agent access, not a download. Buying a skill does not include an AI-agent subscription or setup service.

Agensi access: A bounded workflow was tested in Claude through Agensi creator access. Retrieved text required line-ending normalization and restoration of host-converted Unicode escapes before matching the sealed source. Buyer checkout, installed-package use and other hosts remain unverified.

See this skill’s tested workflow and limits.

What problem does UTM Link Consistency Checker solve?

Teams lose attribution when campaign links omit required fields, change naming case, duplicate parameters, or leak personal data into URLs.

Use it to

Preflight a newsletter link sheet.
Enforce agency UTM vocabularies.
Catch possible personal data before tracked URLs ship.

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

fixture-backed sample

input {"links":[{"id":"hero","url":"https://example.com/?utm_source=newsletter&utm_medium=email&utm_campaign=launch"}]}

result READY; hero checked against three required UTM fields.

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

Possible-PII checks are conservative heuristics, not a privacy determination.
The package does not visit or shorten links.
Attribution correctness still depends on the destination analytics configuration.

// choose with context

Is UTM Link Consistency Checker the right skill?

Best fit

Teams lose attribution when campaign links omit required fields, change naming case, duplicate parameters, or leak personal data into URLs.

It returns

findings.csv with stable codes and record identifiers. review-manifest.csv with every reviewed item.

Do not use it as

Possible-PII checks are conservative heuristics, not a privacy determination.

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: 1.0.1
Licence: Review the package licence and seller terms at the linked destination.

What happens next

Open the Agensi listing, check the current offer and connect a supported agent. Agensi loads the skill through its connector; it no longer provides a download. Approve any purchase before use. Check Agensi’s current connection guide before changing an existing connection.

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.