/hermes-akf
AKF, the AI native file format (EXIF for AI) — check before you trust, stamp what you verify. A stamp costs ~15 tokens; re-verifying costs 15,000.
Claude Code
$ npx -y skills add HMAKT99/AKF --skill hermes-akf --agent claude-code
Codex
$ npx skills add HMAKT99/AKF --skill hermes-akf -a codex -y
Cursor
$ npx skills add HMAKT99/AKF --skill hermes-akf -a cursor -y
Gemini CLI
$ npx skills add HMAKT99/AKF --skill hermes-akf -a gemini-cli -y
GitHub Copilot
$ npx skills add HMAKT99/AKF --skill hermes-akf -a github-copilot -y
OpenCode
$ npx skills add HMAKT99/AKF --skill hermes-akf -a opencode -y
Windsurf
$ npx skills add HMAKT99/AKF --skill hermes-akf -a windsurf -y
SKILL.md
hermes-akf.SKILL.mdname: akf
description: AKF, the AI native file format (EXIF for AI) — check before you trust, stamp what you verify. A stamp costs ~15 tokens; re-verifying costs 15,000.
version: 1.6.2
author: HMAKT99
license: MIT
metadata:
internal: true
homepage: https://akf.dev
repository: https://github.com/HMAKT99/AKF
akf:
v: "1.0"
claims:
- c: "Trust metadata for skills/hermes-akf/SKILL.md"
t: 0.7
id: b0885a76
src: unspecified
tier: 3
ver: false
ai: true
decay: 365
kind: skill
evidence:
- type: human_review
detail: "reviewed by @HMAKT99"
at: "2026-10-20T03:32:39.701671+00:00"
id: "akf-178820bedee4"
agent: "claude-code"
at: "2026-10-20T03:32:39.702220+00:00"
label: public
inherit: true
ext: false
hash: "sha256:3fc2b620e308a724"
meta:
content_hash: "sha256:9ac7bec633dd82f9"
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.
When to Use
- Before building on any existing file — check whether its verification is still valid instead of re-verifying from scratch
- After creating or modifying a file — stamp it with the evidence you actually observed
- Before loading a community skill someone else published — verify it hasn't been modified since the publisher stamped it
- When saving or retrieving persistent memories — stale memories should decay, not be trusted forever
Quick Reference
| Command | What it does | |---------|-------------| | `akf check <file>` | One line: `OK` / `LOW` / `STALE` / `UNSTAMPED` + trust, evidence, age. Exit 0/1/2. | | `akf stamp <file> --agent <you> --evidence "<observed>"` | Stamp with evidence (auto-classified: test_pass, human_review, ci_pass…) | | `akf stamp <file> --preset memory` | Memory stamp: trust decays with a 30-day half-life | | `akf stamp <file> --preset skill` | Skill stamp: public, supply-chain provenance | | `akf init` | Wire git + agent hooks so stamping is automatic | | `akf scan <dir> --recursive` | Trust report for a whole directory |
Install once: `pip install akf` (or `pipx install akf`).
Procedure
1. **Before you build on a file**, run `akf check <file>` and act on the status:
- `OK` (exit 0) — fresh stamp with verified evidence. Build on it; skip re-verification.
- `LOW` (exit 1) — stamped but unverified, or trust has decayed. Verify before trusting.
- `STALE` (exit 1) — the file changed after it was stamped. Re-verify before trusting.
- `UNSTAMPED` (exit 2) — no provenance. Treat as unverified.
2. **After you create or modify a file**, stamp it with the strongest evidence you actually observed: `akf stamp report.py --agent hermes --evidence "42/42 tests passed"` 3. **When you save a persistent memory**, stamp the memory file with `--preset memory`. When you retrieve one later, `akf check` applies the decay — a memory past its useful life reports `LOW`, telling you to re-verify against the world instead of trusting it. 4. **Before installing a community skill**, run `akf check` on its SKILL.md. `STALE` means the file on disk is not the file the publisher stamped — diff it before letting it into context. 5. **When you author a skill**, stamp it before publishing: `akf stamp SKILL.md --preset skill --agent <you> --evidence "reviewed by <maintainer>"`.
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 # inspect: recipe + input drift since issuance
akf replay app.py --run # execute: CONFIRMED / CONFIRMED_DRIFTED / REFUTED
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.
Pitfalls
- **Only claim evidence you observed.** A stamp saying tests passed when they didn't poisons every agent that trusts it. If you verified nothing, stamp with no evidence — the low score it earns is the honest signal.
- **Stamps are claims, not proofs.** Treat them like commit messages with an accountability trail, not cryptographic guarantees. `akf sign` adds an Ed25519 signature for the provenance part.
- **Fresh git checkouts can show STALE** (staleness is mtime-based). If a whole repo reports STALE right after cloning, that's the checkout, not tampering — check one file's history before assuming the worst.
- Default classification is `internal`; use `--label public` for docs/examples and `--label confidential` for sensitive material.
Verification
- `akf check <file>` on something you just stamped returns `OK ...` and exit code 0.
- `echo x >> <file>` then `akf check <file>` returns `STALE` and exit code 1 — the loop is working.
- `akf doctor` diagnoses install/PATH problems if the `akf` command isn't found.
Read more
name: akf
description: AKF, the AI native file format (EXIF for AI) — check before you trust, stamp what you verify. A stamp costs ~15 tokens; re-verifying costs 15,000.
version: 1.6.2
author: HMAKT99
license: MIT
metadata:
internal: true
homepage: https://akf.dev
repository: https://github.com/HMAKT99/AKF
akf:
v: "1.0"
claims:
- c: "Trust metadata for skills/hermes-akf/SKILL.md"
t: 0.7
id: b0885a76
src: unspecified
tier: 3
ver: false
ai: true
decay: 365
kind: skill
evidence:
- type: human_review
detail: "reviewed by @HMAKT99"
at: "2026-10-20T03:32:39.701671+00:00"
id: "akf-178820bedee4"
agent: "claude-code"
at: "2026-10-20T03:32:39.702220+00:00"
label: public
inherit: true
ext: false
hash: "sha256:3fc2b620e308a724"
meta:
content_hash: "sha256:9ac7bec633dd82f9"
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.
When to Use
- Before building on any existing file — check whether its verification is still valid instead of re-verifying from scratch
- After creating or modifying a file — stamp it with the evidence you actually observed
- Before loading a community skill someone else published — verify it hasn't been modified since the publisher stamped it
- When saving or retrieving persistent memories — stale memories should decay, not be trusted forever
Quick Reference
| Command | What it does | |---------|-------------| | `akf check <file>` | One line: `OK` / `LOW` / `STALE` / `UNSTAMPED` + trust, evidence, age. Exit 0/1/2. | | `akf stamp <file> --agent <you> --evidence "<observed>"` | Stamp with evidence (auto-classified: test_pass, human_review, ci_pass…) | | `akf stamp <file> --preset memory` | Memory stamp: trust decays with a 30-day half-life | | `akf stamp <file> --preset skill` | Skill stamp: public, supply-chain provenance | | `akf init` | Wire git + agent hooks so stamping is automatic | | `akf scan <dir> --recursive` | Trust report for a whole directory |
Install once: `pip install akf` (or `pipx install akf`).
Procedure
1. **Before you build on a file**, run `akf check <file>` and act on the status:
- `OK` (exit 0) — fresh stamp with verified evidence. Build on it; skip re-verification.
- `LOW` (exit 1) — stamped but unverified, or trust has decayed. Verify before trusting.
- `STALE` (exit 1) — the file changed after it was stamped. Re-verify before trusting.
- `UNSTAMPED` (exit 2) — no provenance. Treat as unverified.
2. **After you create or modify a file**, stamp it with the strongest evidence you actually observed: `akf stamp report.py --agent hermes --evidence "42/42 tests passed"` 3. **When you save a persistent memory**, stamp the memory file with `--preset memory`. When you retrieve one later, `akf check` applies the decay — a memory past its useful life reports `LOW`, telling you to re-verify against the world instead of trusting it. 4. **Before installing a community skill**, run `akf check` on its SKILL.md. `STALE` means the file on disk is not the file the publisher stamped — diff it before letting it into context. 5. **When you author a skill**, stamp it before publishing: `akf stamp SKILL.md --preset skill --agent <you> --evidence "reviewed by <maintainer>"`.
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 # inspect: recipe + input drift since issuance akf replay app.py --run # execute: CONFIRMED / CONFIRMED_DRIFTED / REFUTED
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.
Pitfalls
- **Only claim evidence you observed.** A stamp saying tests passed when they didn't poisons every agent that trusts it. If you verified nothing, stamp with no evidence — the low score it earns is the honest signal.
- **Stamps are claims, not proofs.** Treat them like commit messages with an accountability trail, not cryptographic guarantees. `akf sign` adds an Ed25519 signature for the provenance part.
- **Fresh git checkouts can show STALE** (staleness is mtime-based). If a whole repo reports STALE right after cloning, that's the checkout, not tampering — check one file's history before assuming the worst.
- Default classification is `internal`; use `--label public` for docs/examples and `--label confidential` for sensitive material.
Verification
- `akf check <file>` on something you just stamped returns `OK ...` and exit code 0.
- `echo x >> <file>` then `akf check <file>` returns `STALE` and exit code 1 — the loop is working.
- `akf doctor` diagnoses install/PATH problems if the `akf` command isn't found.
Trust metadata for AI agents — a stamp costs ~15 tokens, re-verifying costs 15,000. Agents stamp what they verify; the next agent runs 'akf check' and builds on it. pip install akf
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Questions about hermes-akf.
- Which coding agents can use hermes-akf?
- hermes-akf installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

