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entity-registry

Use when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry. 实体注册/知识图谱

70

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

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

A well-structured, lean skill body with a strong numbered workflow, explicit validation gates, and clean progressive disclosure into real reference files. The only real slack is minor density in the contract/procedure prose and some actionability dependence on host-only scripts.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence (e.g., no padding about what a knowledge graph is), but the Skill Contract and Procedure sections pack dense, compound sentences that could be trimmed slightly, placing it just above efficient.

4 / 5

Actionability

Provides concrete, executable commands (e.g., 'python3 "$AARON_SKILLS_ROOT/scripts/registry-events.py" get entities <aggregate-id>'), but several steps defer specifics to external references and depend on host-capability scripts that may not be present, leaving minor gaps.

4 / 5

Workflow Clarity

A clear 9-step procedure is sequenced with explicit validation checkpoints (resolve target, query state, assess six categories, review proposals, 'Run verify entities') plus a Decision Gates section and explicit stop conditions, matching the checklist-with-feedback-loops anchor for this batch/destructive-capable skill.

5 / 5

Progressive Disclosure

SKILL.md reads as an overview with clearly signaled one-level-deep references to a real bundle (verified entity-signal-checklist.md, knowledge-graph-guide.md, knowledge-panel-wikidata-guide.md present in ./references), and the body is appropriately split rather than inlined.

5 / 5

Total

18

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description with clear trigger phrases and explicit boundary exclusions that distinguish it from sibling skills. It is slightly jargon-heavy in its trigger terms, which keeps trigger quality just short of comprehensive.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence' — covering the domain comprehensively, matching the comprehensive-coverage anchor.

5 / 5

Completeness

Explicitly answers both 'what' (audits and maintains machine-facing identity and evidence) and 'when' with concrete trigger phrases ('Use when the user asks to...'), matching the top anchor.

5 / 5

Trigger Term Quality

Includes natural user phrases like 'optimize entity presence', 'reconcile an entity identity', and 'update canonical Knowledge Graph facts', but leans on some specialized jargon (sameAs, schema, disambiguation) that not all users would voice verbatim, so it sits just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

Clear niche (machine-facing entity authority) with explicit exclusion guidance ('Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry'), minimizing conflict risk.

5 / 5

Total

19

/

20

Passed

Validation

75%

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

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 14 suspicious

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

12

/

16

Passed

Repository
aaron-he-zhu/aaron-marketing-skills
Reviewed

Table of Contents

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