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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    battery passport data validator

    1

    Validate battery passport JSON against versioned, hash-pinned schemas with strict evidence discipline and gap reporting.

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    battery passport data validator

    battery passport data validator

    Example session with this skill installed

    Validate the battery passport data in data/bp-004.json against the schema defined in profiles/eu-2026-v2.schema.json using the hash pinned in the runtime guide.

    • Read your context and instructions
    • Compiled the battery passport data
    • Generated the document

    I have completed the validation of the battery passport JSON against the hash-pinned schema. The check identified two structural errors and one missing mandatory field for recycled content tracking.

    Battery Passport Validation Report

    MetricValue / Status
    Input Filedata/bp-004.json
    Schema Profileeu-2026-v2.schema.json
    Profile Hash (Verified)sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
    Validation ResultFAIL
    Error: Path $.battery.composition.cobaltType mismatch: expected number, found string.
    Error: Path $.battery.provenance.origin_idMissing required property.
    Evidence TraceabilitySource: Supplier Portal V3. Date: 2024-05-20.

    Analysis of Results
    The validation failed due to a data type error in the cobalt composition field and a missing origin identifier. The scripts/validate.py tool confirmed these discrepancies against the synthetic fixtures. No values were invented to fill the missing origin_id; it remains marked as a gap.

    Next steps

    • Request the missing origin_id from the upstream supplier for file bp-004.json.
    • Correct the data type for the cobalt composition field from string to numeric.
    • Re-run scripts/validate.py once the JSON is updated to confirm conformance.

    battery-passport-data-validator.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Validate JSON payloads against hash-pinned regulatory data schemas.Identify field-level gaps in battery passport provenance data.Audit supply chain data without exposing raw sensitive values.Generate gap analysis for missing battery data profiles.

    About this skill

    The problem

    Battery passport data is often fragmented and non-compliant with evolving EU regulations. Manually checking JSON files against versioned customer schemas is error-prone and risks exposing sensitive underlying values during the QA process.

    What it does

    • Validates battery passport JSON against hash-pinned customer schemas for strict version control.
    • Identifies field-level errors and missing data points without exposing actual values in logs.
    • Verifies profile provenance and records source versioning for audit trails.
    • Generates gap lists for missing profiles to help define new data requirements.
    • Distinguishes between supplied observations and live verification tests in technical reports.

    Frameworks & tools

    JSON Schema, Python, and synthetic fixtures for QA testing.

    Why this beats prompting it yourself

    General-purpose LLMs tend to "hallucinate" missing recycled-content figures or identifiers when data is absent. This skill enforces strict evidence discipline, ensuring that an execution error or missing control never results in a false PASS.

    Use cases

    • QA testing of battery passport JSON before production deployment.
    • Generating gap analysis reports for unmapped battery data profiles.
    • Auditing provenance and versioning for regulatory supply chain data.
    • Validating synthetic test data against official customer schema definitions.

    Known limitations

    Does not determine legal scope or certify compliance. Requires an approved profile and hash for validation; cannot validate without a defined schema.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 13 days ago

    • Passed all security checks, Safe to install

    Listed13 days ago

    What's inside

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