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provenance

Trace data lineage, source attribution, audit trails, and provenance assertions in Semantica graphs.

69

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is lean, executable, and well-organized for a simple two-subcommand skill, with no wasted tokens and copy-paste-ready code that respects Claude's competence.

DimensionReasoningScore

Conciseness

The body jumps straight to usage and executable snippets with no padded explanation of provenance concepts; it earns the top anchor rather than a 2 because nothing is superfluous.

3 / 3

Actionability

Both subcommands ship executable Python with imports, instantiation, and real method calls with kwargs; this matches the copy-paste-ready top anchor and is not a 2 because it is complete rather than pseudocode.

3 / 3

Workflow Clarity

Each subcommand is a single unambiguous action in a clear section, satisfying the simple-skill allowance; the operations are read-only so no validation checkpoints are required, keeping it at the top anchor.

3 / 3

Progressive Disclosure

At under 50 lines with no need for external references, the well-organized per-subcommand sections satisfy the top anchor for simple skills; it is not a 2 because the structure is appropriately compact rather than monolithic.

3 / 3

Total

12

/

12

Passed

Description

67%

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 is specific and well-scoped to a distinct Semantica niche, but it lacks an explicit 'when to use' trigger clause and natural user phrasing, which caps its completeness and trigger-term quality.

Suggestions

Add an explicit 'Use when...' clause with natural user phrasing (e.g. 'Use when the user asks where data came from, who authored a node, or wants an audit trail') to lift completeness to 3.

Broaden trigger terms with common variations beyond jargon, such as 'data history', 'data origins', and 'audit log', so the description matches what users actually say.

DimensionReasoningScore

Specificity

"Trace data lineage, source attribution, audit trails, and provenance assertions" lists multiple concrete actions matching the highest anchor; it does not fall to 2 because it is comprehensive rather than naming only some actions.

3 / 3

Completeness

It clearly answers "what" but provides no "Use when..." clause, so "when" is missing rather than implied; per guidelines a missing trigger clause caps completeness at 2 and it is not a 1 because the "what" is strong.

2 / 3

Trigger Term Quality

Terms like "data lineage", "source attribution", and "audit trails" are relevant but technical, missing common natural variations a user would say (e.g. "where did this data come from"); not a 3 due to lack of common-phrase coverage.

2 / 3

Distinctiveness Conflict Risk

Scoping to "provenance assertions in Semantica graphs" carves a clear niche unlikely to trigger for unrelated skills; it is not a 2 because the domain tie makes overlap unlikely.

3 / 3

Total

10

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
semantica-agi/semantica
Reviewed

Table of Contents

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