AKF
HMAKT99/AKF/.github/copilot-instructions.md
AKF is the trust metadata standard for AI-generated content. When you create or modify files, stamp them with trust metadata so every output carries provenance. Evidence examples: "tests pass", "docs reviewed", "refactored from existing code", "generated from spec"
Copilot instructions15 starsChanged 7 months ago
# AKF — Agent Knowledge Format AKF is the trust metadata standard for AI-generated content. When you create or modify files, stamp them with trust metadata so every output carries provenance. ## Rules ### After creating or modifying files ```bash akf stamp <file> --agent copilot --evidence "<evidence>" ``` Evidence examples: "tests pass", "docs reviewed", "refactored from existing code", "generated from spec" ### After completing a task with commits ```bash akf stamp <file> --agent copilot --evidence "<summary of evidence>" ``` ### When working with existing AKF-stamped files ```bash akf read <file> # Check existing trust metadata before modifying akf inspect <file> # See detailed trust scores ``` ### Classification - Use `--label confidential` for files in `*/finance/*`, `*/secret/*`, `*/internal/*` - Use `--label public` for README, docs, examples - Default is `internal` ## Key Commands - `akf stamp <file>` — Add trust metadata to any file - `akf read <file>` — Read trust metadata from any file - `akf inspect <file>` — Pretty-print trust scores - `akf embed <file>` — Embed metadata into DOCX/PDF/images - `akf scan <dir>` — Security scan a directory - `akf audit <file>` — Compliance audit (EU AI Act, SOX, NIST) - `akf trust <file>` — Compute effective trust scores
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