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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.

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# Fixity Manifest Schema # Based on REF-061 OAIS (Fixity Information) # Issue: #108 $schema: "https://json-schema.org/draft/2020-12/schema" $id: "https://aiwg.io/schemas/fixity-manifest/v1" title: "Fixity Manifest Schema" description: | Checksum generation and verification for research PDFs and critical artifacts. Implements OAIS Fixity Information to ensure integrity over time. type: object required: - manifest_version - created_at - entries properties: manifest_version: type: string const: "1.0" description: "Schema version" created_at: type: string format: date-time description: "Manifest creation timestamp" updated_at: type: string format: date-time description: "Last update timestamp" verified_at: type: string format: date-time description: "Last full verification timestamp" algorithm: type: string default: "sha256" enum: ["sha256", "sha384", "sha512", "md5"] description: "Hash algorithm used (SHA-256 recommended)" entries: type: array items: $ref: "#/$defs/FixityEntry" description: "Artifact entries with checksums" statistics: type: object properties: total_entries: type: integer total_size_bytes: type: integer verified_count: type: integer failed_count: type: integer unverified_count: type: integer description: "Summary statistics" $defs: FixityEntry: type: object required: - path - checksum - size_bytes - added_at properties: path: type: string description: "Relative path from repository root" checksum: type: string pattern: "^[a-f0-9]{64}$" description: "SHA-256 hash of file content" size_bytes: type: integer minimum: 0 description: "File size in bytes" added_at: type: string format: date-time description: "When entry was added to manifest" verified_at: type: string format: date-time description: "Last successful verification" verification_status: type: string enum: - verified # Checksum matches - failed # Checksum mismatch (corruption/tampering) - pending # Not yet verified - missing # File not found default: pending description: "Current verification status" content_type: type: string enum: - pdf # Research paper PDFs - schema # YAML/JSON schemas - template # Document templates - rule # Agent rules - artifact # Other critical artifacts description: "Type of content" ref_id: type: string pattern: "^REF-[0-9]{3}$" description: "Associated REF-XXX ID if applicable" metadata: type: object properties: title: type: string source_url: type: string format: uri download_date: type: string format: date description: "Additional metadata" history: type: array items: type: object properties: action: type: string enum: [added, verified, failed, replaced] timestamp: type: string format: date-time previous_checksum: type: string notes: type: string description: "Change history for audit" # Verification workflow verification_workflow: trigger: - on_access: false # Verify when file is accessed - on_commit: true # Verify in pre-commit hook - scheduled: "weekly" # Scheduled verification on_failure: - log_to: ".aiwg/research/integrity-failures.log" - notify: issue_comment - quarantine: true # Move to quarantine directory recovery: - check_backup: ".aiwg/research/backups/" - attempt_redownload: true - escalate_if_unrecoverable: true # Agent integration agent_protocol: description: "How agents interact with fixity checking" on_pdf_download: - compute_checksum: sha256 - add_to_manifest: true - verify_source: check_doi_match on_artifact_create: - add_critical_artifacts: true - exclude_patterns: - "*.log" - "*.tmp" - ".aiwg/working/**" before_citation: - verify_source_exists: true - check_integrity: warn_on_fail # Example manifest examples: - manifest_version: "1.0" created_at: "2026-01-25T15:00:00Z" updated_at: "2026-01-25T15:00:00Z" algorithm: sha256 entries: - path: ".aiwg/research/pdfs/REF-013-metagpt.pdf" checksum: "a1b2c3d4e5f6...64chars..." size_bytes: 1548923 added_at: "2026-01-20T10:00:00Z" verified_at: "2026-01-25T15:00:00Z" verification_status: verified content_type: pdf ref_id: "REF-013" metadata: title: "MetaGPT: Meta Programming for Multi-Agent Systems" source_url: "https://arxiv.org/abs/2308.00352" download_date: "2026-01-20" statistics: total_entries: 37 total_size_bytes: 45234567 verified_count: 37 failed_count: 0 unverified_count: 0 # Storage location storage: manifest_path: ".aiwg/research/fixity-manifest.json" backup_path: ".aiwg/research/backups/fixity/" failure_log: ".aiwg/research/integrity-failures.log" # References references: research: - "@.aiwg/research/findings/REF-061-oais.md" implementation: - "#108" related: - "@agentic/code/frameworks/sdlc-complete/schemas/research/frontmatter-schema.yaml" - "@agentic/code/frameworks/sdlc-complete/schemas/provenance/prov-record.yaml"