store-modeling-distilled

store-modeling-distilled is a skill for Codex from tompassarelli/beagle. It costs 39 tokens per session (257 once invoked), scanned A, original, no licence file.

A guide for building programs on the Beagle Store engine after the data model has been decided. It covers writing and querying terms and triples, which are structured statements about things and their relationships.

In plain words
What is it for?
It is for connecting an app or tool to Store RPC, handling append-only occurrence history, reading snapshots, and using Datalog rules to derive data.
Why use it?
It helps implement storage and queries while accounting for historical records, immutable snapshots, paging, and derived results.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for connecting an app or tool to Store RPC, handling append-only occurrence history, reading snapshots, and using Datalog rules to derive data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tompassarelli/beagle/store-modeling-distilled
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 tompassarelli/beagle --skill store-modeling-distilled
Clone the repo
git clone --depth 1 https://github.com/tompassarelli/beagle

Made for: 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 store-modeling-distilled

README.md
[![agentmods](https://agentmods.dev/badge/skills/tompassarelli/beagle/store-modeling-distilled/github.svg)](https://agentmods.dev/skills/tompassarelli/beagle/store-modeling-distilled)
Your own site
<a href="https://agentmods.dev/skills/tompassarelli/beagle/store-modeling-distilled"><img src="https://agentmods.dev/badge/skills/tompassarelli/beagle/store-modeling-distilled/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 store-modeling-distilled

Your own site · 80×15
<a href="https://agentmods.dev/skills/tompassarelli/beagle/store-modeling-distilled"><img src="https://agentmods.dev/badge/skills/tompassarelli/beagle/store-modeling-distilled.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 257 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 $0.00039 $0.00257
Opus 5 $0.00019 $0.00129
Sonnet 5 $0.00008 $0.00051
Haiku 4.5 $0.00004 $0.00026

Measured 2d ago against content hash be21ee847a0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

store-modeling-distilled 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 2d 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.

store/integrations/north/skills/store-modeling-distilled/SKILL.md · 26 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file 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.

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. 2d ago Changed · -10 lines · -63 tokens per session be21ee847a0a
  2. 9d ago First seen · 36 lines · 102 tokens per session scan A 2c0d2bde0723

Subscribe to this mod's changes

store-modeling-distilled is a skill published in the GitHub repository tompassarelli/beagle (24 stars, last pushed yesterday), with no licence file. It adds 39 tokens to every session and 257 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.

Related

Other skills, from other repositories

go-docs

Go 1.26 — language specification, standard library, concurrency, modules, tools, testing, crypto, networking, database access, and idiomatic patterns.

pledgeandgrow/pledge-skills · 36 tokens

event-store-design

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

wshobson/agents · 33 tokens

convex-explain-app

Explain an existing Convex app — data model + relationships, public vs internal functions, auth/ownership model, components, a request→data flow — read from the schema and function surface. Read-only.

openclaw/clawhub · 47 tokens

platform-custom-field-generate

Use this skill when users need to create, generate, or validate Salesforce Custom Field metadata. Trigger when users mention custom fields, field types, Roll-up Summary fields, Master-Detail relationships, Lookup relationships, formula fields, picklists, dependent (controlling) picklists, referencing a value set from…

forcedotcom/sf-skills · 194 tokens

openloomi-api

OpenLoomi ships a local-first HTTP API served from the desktop app (port 3414, fallback 3515). All auth, Memory, AI, RAG, Loop, and Audit data live in a local SQLite database — your data stays on your machine and the OpenLoomi app is the source of truth. The only externally-routed auth path is the Composio OAuth…

melandlabs/openloomi · 106 tokens

nornicdb-grpc

Drive NornicDB over gRPC — the Qdrant-compatible surface (Collections, Points, Snapshots) plus the additive NornicSearch service. Use when ingesting via Qdrant SDKs, migrating from Qdrant, or running hybrid text+vector search from a non-Bolt client. Covers connection, RPC catalog, collection→database mapping…

orneryd/NornicDB · 98 tokens