ontology-refresh-governance

ontology-refresh-governance is a skill for Claude Code, Codex from RichmondAlake/agent_harness_course. It costs 33 tokens per session (395 once invoked), scanned A, original, no licence file.

A procedure for updating a projection from operational data into an ontology, a structured model of concepts and their relationships.

In plain words
What is it for?
It refreshes the projection, validates contracts, enriches changed nodes for semantic search, and inspects Oracle Scheduler evidence.
Why use it?
It helps keep the model's classes and properties valid while updating changed data and checking scheduler evidence.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It refreshes the projection, validates contracts, enriches changed nodes for semantic search, and inspects Oracle Scheduler evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/richmondalake/agent_harness_course/ontology_refresh_governance
Install

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.

Any agent
npx skills add RichmondAlake/agent_harness_course --skill ontology_refresh_governance
Clone the repo
git clone --depth 1 https://github.com/RichmondAlake/agent_harness_course

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ontology-refresh-governance

README.md
[![agentmods](https://agentmods.dev/badge/skills/richmondalake/agent_harness_course/ontology_refresh_governance/github.svg)](https://agentmods.dev/skills/richmondalake/agent_harness_course/ontology_refresh_governance)
Your own site
<a href="https://agentmods.dev/skills/richmondalake/agent_harness_course/ontology_refresh_governance"><img src="https://agentmods.dev/badge/skills/richmondalake/agent_harness_course/ontology_refresh_governance/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.

agentmods 80×15 button for ontology-refresh-governance

Your own site · 80×15
<a href="https://agentmods.dev/skills/richmondalake/agent_harness_course/ontology_refresh_governance"><img src="https://agentmods.dev/badge/skills/richmondalake/agent_harness_course/ontology_refresh_governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 395 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00395
Opus 5 $0.00016 $0.00198
Sonnet 5 $0.00007 $0.00079
Haiku 4.5 $0.00003 $0.00040

Measured 11d ago against content hash 98fc25920749, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ontology-refresh-governance 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 11d 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.

part_1/advanced/total_recall/skills/ontology_refresh_governance/SKILL.md · 43 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 11d ago First seen · 43 lines · 33 tokens per session scan A 98fc25920749

Subscribe to this mod's changes

ontology-refresh-governance is a skill published in the GitHub repository RichmondAlake/agent_harness_course (23 stars, last pushed 13d ago), with no licence file. It adds 33 tokens to every session and 395 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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