Data Integrity

Data Integrity

Purpose

Ensure integrity of data in storage and transmission using checksums/CRCs/ECC, validation, and redundancy where needed for medical devices.

When to Apply

• Storing or transmitting patient/therapy data, logs, configs, firmware.
• Safety-critical control or sensor data paths.

Requirements (testable)

1. Checksums/CRCs: Apply CRC or MAC to critical data blobs and messages; verify before use. Rationale: detect corruption.
2. ECC/Redundancy: Use ECC or redundancy for persistent storage where feasible; handle correction/failure paths. Rationale: reliability.
3. Input Validation: Validate size/range/format before processing; reject malformed data. Rationale: prevent misuse and corruption.
4. Error Handling: On integrity failure, enter safe handling (retry, request retransmit, or safe state); log event. Rationale: safe recovery.
5. Versioning: Version stored data formats; migrate safely; verify after migration. Rationale: compatibility and integrity.

Recommended Practices

• Include length and CRC fields in messages; keep CRC separate from payload.
• Use HMAC for integrity when authenticity is also needed.
• Periodically scrub/read-verify important data (configs/calibration) to detect bitrot.

Patterns

CRC on message:

// REQ-DINT-CRC-01; TEST-DINT-03
bool validate_msg(const uint8_t *buf, size_t len, uint16_t expected_crc) {
    return crc16(buf, len) == expected_crc;
}

ECC status handling:

// REQ-DINT-ECC-02; TEST-DINT-05
if (ecc_corrected) log_event("ECC_CORRECTED");
if (ecc_uncorrectable) { enter_safe_state(); }

Versioned config:

# REQ-DINT-VERS-03
config_version: 2
fields:
  - name: calib_factor
    crc: 0xABCD

Anti-Patterns (risks)

• No integrity check on stored configs -> risk: silent corruption affecting therapy.
• Ignoring CRC failures -> risk: using bad data.
• Mixing versioned/unversioned data without migration -> risk: misinterpretation.

Verification Checklist

• [ ] CRC/HMAC applied to critical data/messages and verified.
• [ ] ECC/redundancy used where feasible; correction paths handled.
• [ ] Inputs validated; malformed data rejected safely.
• [ ] Integrity failures trigger safe handling and logging.
• [ ] Data formats versioned; migrations verified.

Traceability

• REQ-DINT-### to TEST-DINT-###; logs of integrity failures retained.

References

• IEC 62304 (data/control integrity expectations).
• NIST SP 800-38 (for MAC modes) as informative.

Changelog

• 1.0.0 (2026-01-04): Initial data integrity skill with CRC/ECC, validation, and versioning.

Audit History

• 2026-01-04: Audit performed. Verified:
• NIST SP 800-38 reference for MAC modes appropriate as informative
• CRC and ECC patterns technically accurate

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: AminAlam
• Source: AminAlam/meddev-agent-skills
• License: MIT

Install and usage instructions live in the source repository linked above.