metagenesis-core-public: Instructions file for Claude Code

CLAUDE.md

metagenesis-core-public CLAUDE.md is an instructions file for Claude Code from Lama999901/metagenesis-core-public. It costs 4,993 tokens per session, scanned A, original, MIT.

Project instructions for MetaGenesis Core, a system that certifies that a computer produced a particular result at a particular time and in a particular way.

In plain words
What is it for?
Use them when working on MetaGenesis Core, especially its verification commands, computation records, templates, tests, and release-sensitive areas.
Why use it?
They explain the project’s purpose, priorities, protected files, and current state so coding agents know what must be preserved.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is Lama999901/metagenesis-core-public's own configuration. It tells Claude Code how to work on metagenesis-core-public itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything metagenesis-core-public configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Lama999901/metagenesis-core-public. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Lama999901/metagenesis-core-public/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Lama999901/metagenesis-core-public

Made for: Claude Code.

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Per session 4,993 This file is loaded in full into every session.
When invoked 4,993 The same file — it is already loaded in full.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.04993 $0.04993
Opus 5 $0.02497 $0.02497
Sonnet 5 $0.00999 $0.00999
Haiku 4.5 $0.00499 $0.00499

Measured 11d ago against content hash dc9c16e927e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

metagenesis-core-public CLAUDE.md scanned grade A with 1 finding 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.DEVNULL # ← correct
CLAUDE.md · 455 lines

How it starts

The opening of the file, as written. The whole thing — 455 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MetaGenesis Core — Context for AI Agents (GSD)

START HERE: python scripts/session_close.py --read → shows full current state in 5 lines

Loaded automatically by all GSD agents via CLAUDE.md. Last updated: 2026-04-12 | v1.0.0-rc1 LIVE | 20 templates | 2428 tests


MISSION — WHY THIS EXISTS

One sentence: MetaGenesis Core is a notary for computations.

Like a notary certifies a document — we certify that a computer produced exactly this result, at exactly this time, in exactly this way. Without access to the computer. Without trusting anyone. In 60 seconds.

python scripts/mg.py verify --pack bundle.zip  →  PASS / FAIL

The problem: Every day billions of computations produce numbers that everyone must simply trust. ML model says 94% accuracy — trust it. FEM simulation says the part holds 10 tons — trust it. Drug calculation passed — trust it. Risk model says all clear — trust it. There is no standard of proof. MetaGenesis Core is that standard.

Six domains. Six real pains. One protocol.

Domain Pain What we give
ML / AI Benchmark gaming. "94% accuracy" unverifiable Cryptographic proof + timestamp. Impossible to backdate.
Pharma / Biotech FDA 2025 requires verifiable AI artifacts for IND filing Bundle = audit artifact. $299 vs $47M raise.
Finance Basel III: independent VaR validation required Regulator verifies offline. No model access needed.
Digital Twin Calibration chain from physics to simulation — who proves accuracy? Cryptographic chain from physical constant to result.
Science 70% of results cannot be reproduced Reproducibility as math, not words. Hash equality = proof.
Climate / ESG Carbon credits backed by unverifiable models Proof the model produced exactly this result on this data.

The physical anchor — what makes us unique: We anchor computation to declared physical constants.

kB = 1.380649e-23 J/K  (SI 2019, exact, zero uncertainty) → PHYS-01
NA = 6.02214076e23 mol-1 (SI 2019, exact, zero uncertainty) → PHYS-02
E  = 70 GPa aluminum   (NIST measured, ~1% uncertainty)   → MTR-1
    ↓ anchor_hash baked in
DT-FEM-01: FEM output vs physical reference → rel_err ≤ 2% → PASS
    ↓ anchor_hash baked in
DRIFT-01: deviation from anchor ≤ 5% → PASS

Change any link in the chain — the cryptographic hash breaks everywhere downstream.

Read the full file on GitHub · 455 lines

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 · 455 lines · 4,993 tokens per session scan A dc9c16e927e8

Subscribe to this mod's changes

metagenesis-core-public CLAUDE.md is an instructions file published in the GitHub repository Lama999901/metagenesis-core-public (11 stars, last pushed 2mo ago), licensed MIT. It adds 4,993 tokens to every session, about $0.0250 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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