What is akf-trust-metadata?

A file-metadata system for recording where AI-generated or AI-modified files came from, how trustworthy they are, and which compliance labels apply. It supports files such as documents, PDFs, images, and code.

It helps stamp files with evidence, inspect existing trust information, assign labels such as confidential or public, and run compliance audits.

It makes the history and review status of AI-produced files easier to inspect and audit. This is useful when records are needed for rules such as the EU AI Act, HIPAA, SOX, or NIST AI guidance.

akf-trust-metadata — Skill for Claude Code by Subhra43

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Subhra43/antigravity-awesome-skills --skill akf-trust-metadata

Clone the repo

git clone --depth 1 https://github.com/Subhra43/antigravity-awesome-skills

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 54 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/akf-trust-metadata/github.svg)](https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/akf-trust-metadata)

Your own site

<a href="https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/akf-trust-metadata"><img src="https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/akf-trust-metadata/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/akf-trust-metadata"><img src="https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/akf-trust-metadata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 449 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 88% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00060	$0.00449
Opus 5	$0.00030	$0.00225
Sonnet 5	$0.00012	$0.00090
Haiku 4.5	$0.00006	$0.00045

Measured 12d ago against content hash 117e3247f712, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

akf-trust-metadata scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to akf-trust-metadata — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/antigravity-awesome-skills-claude/skills/akf-trust-metadata/SKILL.md · 70 lines

What it actually says

AKF — The AI Native File Format

Every photo has EXIF. Every song has ID3. AKF is the native metadata format for AI-generated content.

When to Use

Use this skill when you need to stamp, inspect, or audit provenance and trust metadata on AI-generated or AI-modified files for compliance, review, or handoff workflows.

After creating or modifying files

akf stamp <file> --agent <agent-name> --evidence "<what you did>"

Evidence examples:

"generated from user prompt"
"refactored existing code"
"tests pass"
"docs reviewed"

Before modifying existing files

akf read <file>          # Check existing trust metadata
akf inspect <file>       # See detailed trust scores

Compliance auditing

akf audit <file> --regulation eu_ai_act    # EU AI Act Article 50
akf audit <file> --regulation hipaa         # HIPAA
akf audit <file> --regulation sox           # SOX
akf audit <file> --regulation nist_ai       # NIST AI RMF

Classification

--label confidential for finance/secret/internal paths
--label public for README, docs, examples
Default: internal

Install

pip install akf

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 70 lines · 60 tokens per session scan A 117e3247f712

Subscribe to this mod's changes

akf-trust-metadata is a skill published in the GitHub repository Subhra43/antigravity-awesome-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 449 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to akf-trust-metadata, differing in 6 lines, and is treated as a copy.

Legal and compliance Security ai-native compliance file-format metadata provenance trust