ontology

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.

Quality

84%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Quality

Content

72%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.

Well-structured, actionable body with clean progressive disclosure and verified CLI examples. Main gaps are non-executable Python integration snippets and the lack of explicit validation checkpoints wired into the destructive mutation workflows.

Suggestions

Wire an explicit 'validate after mutation' checkpoint into the Create/Update/Delete/Link and schema-append workflows (e.g. append `&& python3 scripts/ontology.py validate` or a numbered validate step), since these are destructive/batch operations.

Replace the fictional ontology.create()/ontology.query() Python API in the Integration Patterns section with the actual scripts/ontology.py CLI invocations so the examples are executable.

Trim the Integration Patterns prose or move detailed causal/cross-skill integration examples into a reference file to tighten the main body.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with tight code/yaml examples, but the Integration Patterns section uses a fictional ontology.create() Python API that is illustrative padding rather than the actual CLI; minor trimming possible.	4 / 5
Actionability	Workflows and Quick Start give copy-paste-ready bash commands verified against scripts/ontology.py, but the Integration Patterns Python snippets reference a non-existent ontology.create() API, leaving a minor executable gap.	4 / 5
Workflow Clarity	Mutation workflows (create/update/delete, schema-append) are destructive yet validate is presented as a standalone command rather than an explicit post-mutation checkpoint; the cap for missing validation checkpoints in destructive workflows applies.	3 / 5
Progressive Disclosure	Clear overview keeps core types and workflows inline while signaling one-level-deep references (references/schema.md, references/queries.md) that are real files, with easy navigation.	5 / 5
	Total	16 / 20 Passed

Description

96%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 that clearly states capabilities and provides rich natural trigger phrases for both what and when. The only weakness is mild overlap risk from the generic 'remember' trigger against general memory skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'creating/querying entities', 'linking related objects', 'enforcing constraints', 'planning multi-step actions as graph transformations', 'entity CRUD' — with comprehensive coverage of the skill's domain.	5 / 5
Completeness	Explicitly answers both what ('Typed knowledge graph for structured agent memory and composable skills') and when ('Use when... Trigger on...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Comprehensive natural trigger phrases users would actually say — 'remember', 'what do I know about', 'link X to Y', 'show dependencies' — plus concrete entity type names; matches the comprehensive-coverage anchor.	5 / 5
Distinctiveness Conflict Risk	Mostly distinct typed-graph niche with specific triggers, but the generic 'remember' trigger carries minor overlap risk with general memory/notes skills, fitting the mostly-distinct anchor rather than the minimal-conflict anchor.	4 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: UnicomAI/wanwu
Path: configs/microservice/bff-service/configs/agent-skills/clawhub/ontology/SKILL.md
Commit: 99df6e4

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.