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.
curl -O https://raw.githubusercontent.com/Lama999901/metagenesis-core-public/main/CLAUDE.mdgit clone --depth 1 https://github.com/Lama999901/metagenesis-core-publicWrote 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/instructions/lama999901/metagenesis-core-public/claude-md)<a href="https://agentmods.dev/instructions/lama999901/metagenesis-core-public/claude-md"><img src="https://agentmods.dev/badge/instructions/lama999901/metagenesis-core-public/claude-md/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/instructions/lama999901/metagenesis-core-public/claude-md"><img src="https://agentmods.dev/badge/instructions/lama999901/metagenesis-core-public/claude-md.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 | $0.04993 | $0.04993 |
| Opus 5 | $0.02497 | $0.02497 |
| Sonnet 5 | $0.00999 | $0.00999 |
| Haiku 4.5 | $0.00499 | $0.00499 |
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 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.
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.
- 11d ago First seen · 455 lines · 4,993 tokens per session scan A dc9c16e927e8
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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