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.
npx skills add AnthonyAlcaraz/agentic-graph-rag-skills --skill knowledge-organization-classifiergit clone --depth 1 https://github.com/AnthonyAlcaraz/agentic-graph-rag-skillsWrote 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.
[](https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/knowledge-organization-classifier)<a href="https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/knowledge-organization-classifier"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/knowledge-organization-classifier/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.
<a href="https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/knowledge-organization-classifier"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/knowledge-organization-classifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00203 | $0.02069 |
| Opus 5.5 | $0.00081 | $0.00828 |
| Sonnet 5.5 | $0.00041 | $0.00414 |
| Haiku 4.5 | $0.00020 | $0.00207 |
Grade A, and why
knowledge-organization-classifier 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Organization Classifier
Overview
Nearly every enterprise needs an organizational vocabulary to standardize terminology (customer vs client vs patron), preserve institutional knowledge, and meet governance/compliance requirements. These vocabularies live on a spectrum from simple to complex (Ch3):
- Pick list — controlled value list, no hierarchy (country list, currency codes).
- Taxonomy — parent-child hierarchy with predefined terms and synonyms (Transportation -> Bike, Bus, Car, Truck).
- Thesaurus — taxonomy plus generic associative ("related") relationships.
- Ontology — a graph/network of classes with object properties, expanded relationship types, scope notes, and inference. The chapter's argument for ontologies is flexibility: pick lists/taxonomies/thesauruses require reorganizing whole hierarchies to add instances; ontologies expand without structural disruption.
The classifier reads the structural features a spec exhibits and places it on the spectrum, walking bottom-up so a partial structure (classes but no properties) does not claim to be a full ontology. The ontology validator enforces the five core components Ch3 names — classes, subclasses, individuals, axioms, relationships — and the structural checks from the AI-assisted-ontology section (subclasses reference existing parents, relationships reference existing classes). The upgrade helper names the concrete feature to add to reach the next tier.
When to Use
- Auditing an existing taxonomy/vocabulary before integrating it into an agent KG
- Deciding whether the use case needs a full ontology or a simpler structure
- Validating an AI-assisted ontology draft before publishing it as a service
- Justifying an "upgrade to ontology" recommendation with the missing feature
Phrases: "knowledge organization spectrum", "pick list vs taxonomy", "taxonomy vs ontology", "ontology core components", "is this a real ontology", "controlled vocabulary audit", "validate ontology".
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 145 lines · 203 tokens per session scan A b4b1ce40bb2f
knowledge-organization-classifier is a skill published in the GitHub repository AnthonyAlcaraz/agentic-graph-rag-skills (28 stars, last pushed 3mo ago), licensed MIT. It adds 203 tokens to every session and 2,069 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
knowledge-organization-classifier compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| knowledge-organization-classifierAnthonyAlcaraz/agentic-graph-rag-skills | Skill | 28 | 3mo ago | MIT | A | 203 | Claude Code, Codex |
| graphifyGraphify-Labs/graphify | Skill | 143k | yesterday | Apache-2.0 | B | 76 | Claude Code, Codex |
| hugegraph-data-importerapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 62 | Codex |
| hugegraph-schema-designerapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 51 | Codex |
| hugegraph-query-analystapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 49 | Codex |
| lemmalogJordyZomer/lemmalog | Skill | 346 | 1mo ago | MIT | A | 105 | Claude Code, Codex |
| jurisd-researchrussellbrenner/jurisd | Skill | 43 | 2d ago | Apache-2.0 | A | 133 | Claude Code, Codex |