CLAUDE.md@ladder-foundryA
CLAUDE.md@ladder-foundry from yogsoth-ai/de-anthropocentric-research-engine is a CLAUDE.md file: the standing instructions Claude Code reads in that repo.
mdr add yogsoth-ai/de-anthropocentric-research-engine/ladder-foundry/CLAUDE.md@git:20260701.4f1b4d0Pins git:20260701.4f1b4d0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- CLAUDE.md file
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Path
ladder-foundry/CLAUDE.md- Versions recorded
- 2
- Latest version
- git:20260701.4f1b4d0, committed Jul 1, 2026
- First version recorded
- Jul 1, 2026
- Size
- 9,240 bytes
- Repository stars
- 508
- License
- Apache-2.0
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# ladder-foundry — Working Notes for a Fresh Session
Orientation for whoever (human or CC) picks this up next. Local-only handoff
doc; the authoritative design lineage lives in the specs/plans referenced
below. **Read this first, then the STAGE-5 section, before touching anything.**
## What this is
ladder-foundry is the built form of the triple-CC pretrain generator
(design doc: `D:\YOGSOTH-AI\context\2026-06-06-20-18-triple-cc-architecture.md`).
Three nested Claude Code sessions act as a pseudo-NN training loop:
```
optimizer-cc (long-running orchestrator; = the driving CC session itself)
└─ sim-cc (fresh per run; injected a PolicyCard persona)
└─ exec-cc (fresh per run; the 773-skill DARE body doing the research)
```
Each run yields a labeled `(research_config, research_graph, research_result)`
triple. The **label = the generating PolicyCard** (the known supervision
condition), which sidesteps the no-ground-truth problem. A batch = 6 rungs ×
8 topics = 48 runs. Converged = 3 consecutive batches with pass_ratio ≥ 0.80.
## Status: STAGE 1–4 DELIVERED (all local), STAGE 5 = wire + run
Branch: `self-iteration/ladder-foundry` (NOT main; continuous iteration — do
…Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/ladder-foundry/CLAUDE.md@sha256:c46f8c06c0ccfbdaThe line at the top of this page pins the label git:20260701.4f1b4d0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_pwjz7xenyvk2e2xd)
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Versions
The registry has recorded 2 versions of this file, all committed on Jul 1, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260701.4f1b4d0 latest | 2026-07-01 | 4f1b4d0 | 9,240 B | A | view · diff |
| git:20260701.cf4628b | 2026-07-01 | cf4628b | 9,238 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (9240 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
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Source
yogsoth-ai/de-anthropocentric-research-engine · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pwjz7xenyvk2e2xd GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/ladder-foundry/CLAUDE.md GET https://markdownregistry.com/api/v1/blob/c46f8c06c0ccfbdab8e7f5ac8a83adbf9a25a548b848f12b470de96bc9641e8c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: what a CLAUDE.md file is · keeping AGENTS.md and CLAUDE.md in sync · which agent file does what.