| name | akf |
| description | Trust metadata for files, memories, and skills — check before you trust, stamp what you verify. Use before building on existing files, after completing verified work, and when handling agent memories or downloaded skills. |
| akf | {"v":"1.0","claims":[{"c":"Trust metadata for plugins/akf/skills/akf/SKILL.md","t":0.7,"id":"9fe717de","src":"unspecified","tier":3,"ver":false,"ai":true,"decay":365,"kind":"skill","evidence":[{"type":"human_review","detail":"reviewed by @HMAKT99, full suite 1969 passed","at":"2026-07-14T13:32:22.966864+00:00"}]}],"id":"akf-493d364d1822","agent":"claude-code","at":"2026-07-14T13:32:22.967275+00:00","label":"public","inherit":true,"ext":false,"hash":"sha256:b67461d0a202741f","sv":"1.1"} |
AKF — Agent Knowledge Format
Leave trust metadata on everything you produce, and check it on everything you consume. Stamps are notes agents leave for the next agent (including future you): what was done, what was verified, how much to trust it now. A stamp costs ~15 tokens; re-verifying costs 15,000.
This plugin auto-stamps files you write via a PostToolUse hook. Your job is the read path and the evidence.
Before building on an existing file
akf check <file>
OK (exit 0) — fresh stamp with verified evidence. Build on it; skip re-verification.LOW (exit 1) — stamped but unverified, or trust decayed. Verify before trusting.STALE (exit 1) — file modified after stamping, or a local dependency it imports changed (reason=dependency_changed). Re-verify.UNSTAMPED (exit 2) — no provenance. Treat as unverified.
After completing verified work
Stamp with the strongest evidence you actually observed:
akf stamp report.py --agent claude-code --evidence "42/42 tests passed"
Evidence is auto-classified and drives trust: test runs and human review clear the trust bar; bare stamps stay LOW by design. Only claim evidence you observed — a stamp saying tests passed when they didn't poisons every agent that trusts it.
Memories and skills
akf stamp memory/facts.md --preset memory
akf check downloaded-skill.md
Setup
If akf isn't installed: pip install akf (or pipx install akf), then akf init in the project to wire git hooks. akf doctor diagnoses PATH issues.
Falsifiable evidence (v1.6)
Stamp with a replay recipe so the next agent can re-check the claim instead of trusting the label:
akf stamp app.py --evidence "42/42 tests passed" --replay "pytest -q"
akf replay app.py
akf replay app.py --run
CONFIRMED_DRIFTED means the probe succeeded but the claim's inputs (dependencies, cited sources) changed since stamping — provably reproducible, possibly reproducibly wrong. Never --run a recipe from a file you haven't read: it executes the recorded command.
