The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
53
60%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/antigravity-awesome-skills-claude/skills/akf-trust-metadata/SKILL.mdQuality
Discovery
32%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description reads more like a marketing tagline than a functional skill description. While it mentions specific compliance frameworks (EU AI Act, SOX, HIPAA) and file formats, it relies heavily on buzzwords ('AI native file format', 'EXIF for AI') and lacks an explicit 'Use when...' clause, making it difficult for Claude to know when to select this skill over others.
Suggestions
Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user needs to embed provenance metadata, trust scores, or compliance audit trails into files, or mentions AI Act, SOX, or HIPAA compliance requirements.'
Replace marketing language ('AI native file format', 'EXIF for AI') with concrete action verbs describing what the skill does, e.g., 'Embeds source provenance, trust scores, and compliance metadata into documents and media files (DOCX, PDF, images, code).'
Clarify the distinct use case to reduce overlap with general file-processing skills — specify that this is specifically for AI-generated content attribution and regulatory compliance metadata, not general file editing.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names several concrete actions like 'stamps every file with trust scores, source provenance, and compliance metadata' and 'Embeds into 20+ formats', but reads more like marketing copy than a clear list of discrete capabilities. The actions are somewhat specific but mixed with buzzword-heavy language ('AI native file format', 'EXIF for AI'). | 2 / 3 |
Completeness | Describes what it does (embeds metadata into files) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and the 'what' portion is also somewhat unclear due to marketing-style language, bringing this to 1. | 1 / 3 |
Trigger Term Quality | Includes some useful keywords like 'DOCX', 'PDF', 'images', 'code', 'EU AI Act', 'SOX', 'HIPAA', 'provenance', 'compliance metadata', and 'trust scores'. However, it's unclear what natural user requests would trigger this — users are unlikely to say 'AI native file format' or 'EXIF for AI'. Missing common variations like 'audit trail', 'metadata tagging', or 'compliance tracking'. | 2 / 3 |
Distinctiveness Conflict Risk | The compliance/provenance metadata niche is somewhat distinctive, but the mention of 20+ file formats (DOCX, PDF, images, code) is extremely broad and could overlap with many other file-processing skills. The lack of clear trigger conditions increases conflict risk. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted, concise skill that provides immediately actionable CLI commands for AI content provenance stamping. Its main strength is token efficiency and concrete examples. Its primary weakness is the lack of explicit workflow sequencing and validation/error-handling guidance, particularly important given the compliance-oriented nature of the tool (what happens when audit fails? how to verify stamps were applied correctly?).
Suggestions
Add a brief workflow sequence showing the full lifecycle: read → modify → stamp → verify → audit, with explicit validation checkpoints (e.g., 'akf read <file>' after stamping to confirm metadata was applied).
Add error handling guidance: what to do if 'akf audit' reports non-compliance, or if stamping fails on an unsupported format.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient. It doesn't explain what metadata is, what EXIF is in detail, or how compliance frameworks work — it assumes Claude knows these things. Every section is brief and purposeful. The opening analogy ('Every photo has EXIF. Every song has ID3.') is one line and earns its place by framing the tool's purpose. | 3 / 3 |
Actionability | Every section provides concrete, copy-paste-ready CLI commands with specific flags and arguments. Evidence examples are concrete strings. The install command is explicit. There's no pseudocode or vague direction — each instruction is directly executable. | 3 / 3 |
Workflow Clarity | The skill presents a reasonable implicit workflow (read before modifying, stamp after creating, audit for compliance), but it lacks explicit sequencing and validation checkpoints. There's no feedback loop for what to do if an audit fails, if stamping encounters errors, or how to verify a stamp was applied correctly. For a tool that deals with compliance auditing, explicit validation steps would be important. | 2 / 3 |
Progressive Disclosure | For a simple, single-purpose CLI tool skill under 50 lines with no bundle files, the content is well-organized into clear, logically separated sections (when to use, stamp, read, audit, classify, install, links, limitations). No external references are needed and none are artificially created. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
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