What is homoiconic-meta-schema?

A knowledge representation where code and data use the same structure, allowing an agent to inspect and change its own knowledge definitions. It includes schemas that describe other schemas and rules stored as graph entities.

Use it to validate entity types and their instances, represent operational rules, and update knowledge structures as the system learns.

It lets the same validation and reasoning machinery check both the structure of knowledge and the data stored within it.

homoiconic-meta-schema — Skill by AnthonyAlcaraz

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 AnthonyAlcaraz/agentic-graph-rag-skills --skill homoiconic-meta-schema

Clone the repo

git clone --depth 1 https://github.com/AnthonyAlcaraz/agentic-graph-rag-skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/homoiconic-meta-schema/github.svg)](https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/homoiconic-meta-schema)

Your own site

<a href="https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/homoiconic-meta-schema"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/homoiconic-meta-schema/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/homoiconic-meta-schema"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/homoiconic-meta-schema.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 227 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,165 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 original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00227	$0.02165
Opus 5.5	$0.00091	$0.00866
Sonnet 5.5	$0.00045	$0.00433
Haiku 4.5	$0.00023	$0.00216

Measured 2mo ago against content hash a82fa88ded45, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

homoiconic-meta-schema 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.

The scan reads SKILL.md. This mod also ships 2 executable files (cli.py, lib.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/knowledge-representation/homoiconic-meta-schema/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Homoiconic Meta-Schema

Overview

Agent-friendly knowledge graphs need homoiconicity: code and data in the same representation, so agents can inspect and modify their own operational logic. Ch3 gives two constructs.

Meta-knowledge structures (Example 3-6). A metaschema describes the schema itself — it defines what an EntityType is (a name, a description, a list of property definitions). Then domain knowledge is stored using the same representation: a Person entity-type is just data with name, birth_date, occupation properties. The syntax of schema and data is identical. This skill runs the same validation at both levels: validate_entity_type checks a type against the metaschema; validate_data_against_type checks an instance against its type. Same machinery, two levels — that is the homoiconic property doing real work. It lets agents reason about knowledge completeness, dynamically update schemas as they learn, and self-evolve without external reprogramming.

Executable knowledge patterns (Example 3-7). Operational rules become first-class graph entities. A Rule has descriptive metadata, a condition (graph pattern match), and an action (tiered WHEN ... THEN SET ... / ELSE). Because the rule is data, agents can reason about rules, not just follow them — discover, modify, create rules, and explain decisions by citing the rule. This skill parses the tiered action, validates the rule has a parseable clause, and evaluates it in source order against facts (DetermineCustomerSegment: 25 purchases -> Premium, 15 -> Regular, 3 -> Basic). The DevOps OperationalRule (ValidateProductionDeployment) is the same construct applied to infrastructure.

When to Use

Building agents that reason about or modify their own schema (Ch7 self-evolution)
Storing business/operational rules as queryable graph data, not hidden code
Validating agent-proposed schema extensions before applying them
Representing the ontology itself as data the agent can query

Read the full file on GitHub · 151 lines

Files

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.

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.

2mo ago First seen · 151 lines · 227 tokens per session scan A a82fa88ded45

Subscribe to this mod's changes

homoiconic-meta-schema is a skill published in the GitHub repository AnthonyAlcaraz/agentic-graph-rag-skills (28 stars, last pushed 3mo ago), licensed MIT. It adds 227 tokens to every session and 2,165 once invoked, about $0.0009 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.

Building agents Claude Code agent-skills agentic-ai graphrag knowledge-graph llm-agents

homoiconic-meta-schema next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
homoiconic-meta-schemaAnthonyAlcaraz/agentic-graph-rag-skills	Skill	28	3mo ago	MIT	A	227	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