// Music & Audio

Music Release Metadata Reconciler

Reconcile track order, ISRCs, contributors, splits, territories, flags, and asset references before delivery.

Get it on Agensi Find another skill $5 one-time

What problem does Music Release Metadata Reconciler solve?

Release metadata is duplicated across distributor sheets, split records, assets, track order, territories, and explicit-content flags.

Use it to

Catch duplicate ISRCs before delivery
Verify contributor splits total 100 percent
Reconcile track order and asset references

What it returns

result.json with PASS, REVIEW, BLOCK, or CANNOT_ASSESS
report.md human-review handoff
manifest.json with stable output declarations and SHA-256 hashes

A representative input and result

fixture-backed sample

input Supply release.releaseId and trackOrder plus tracks with trackId, title, isrc, explicit, audioAssetRef, contributors with splitPercent, and territories.

result A deterministic PASS, REVIEW, BLOCK, or CANNOT_ASSESS result with stable finding codes, report, manifest, and SHA-256 receipts.

Access and approval boundaries

Terminal permission to run the bundled local Python gate.
Read access to one owner-selected UTF-8 JSON packet.
Write access only to one new owner-selected local output directory.
No browser, network, credential, account, messaging, payment, import, upload, merge, delivery, or publication permission.

Known limitations

It does not deliver music or query a distributor.
It cannot decide rights ownership or contributor identity.
PASS is not DDEX validation, royalty advice, or platform acceptance.

// choose with context

Is Music Release Metadata Reconciler the right skill?

Best fit

Release metadata is duplicated across distributor sheets, split records, assets, track order, territories, and explicit-content flags.

It returns

result.json with PASS, REVIEW, BLOCK, or CANNOT_ASSESS. report.md human-review handoff.

Do not use it as

It does not deliver music or query a distributor.

Compatibility, access, version, and licence

Reads or accesses: Declared local scope: one owner-selected local JSON input, one new owner-selected local output directory.
Compatibility: SKILL.md-compatible agents that can run a local Python helper. Python 3.10 or newer on Windows, macOS, or Linux using only the standard library. One documented UTF-8 JSON evidence packet; no API key or provider account.
Version: 1.0.0
Licence: Review the package licence and seller terms at the linked destination.

What happens next

The Agensi listing opens at the current offer. Complete purchase there, inspect SKILL.md and its bundled files, then add the complete folder to your agent.

Questions

Does it connect to or change a live system?

No. It reads one local packet, writes one new local output directory, and makes no network request.

Does PASS prove the evidence or language is correct?

No. PASS only means no encoded rule fired in supplied normalized evidence.

What happens when evidence is missing?

The gate returns CANNOT_ASSESS or BLOCK; missing evidence never becomes a pass.

Is the result deterministic?

Yes. Findings are sorted and persisted outputs carry stable SHA-256 receipts.

Does the skill publish or make first-person claims?

No. It never publishes, contacts anyone, or adopts a founder, candidate, artist, or reviewer voice.