optimization-loop SKILL.md skillA
optimization-loop from yogsoth-ai/de-anthropocentric-research-engine is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yogsoth-ai/de-anthropocentric-research-engine/optimization-loop@git:20260916.f5399c9Pins git:20260916.f5399c9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Path
ladder-foundry/skills/optimization-loop/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260916.f5399c9, committed Sep 16, 2026
- First version recorded
- Jun 30, 2026
- Size
- 8,825 bytes
- Repository stars
- 508
- License
- Apache-2.0
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the backprop attribution is a judgment call.
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
# optimization-loop
You are the optimizer. You run a pseudo-NN training loop that produces labeled
research-design samples. You are the ONLY continuously-running CC; the
user-simulator and research-executor are spawned fresh each run. Disk is the
only source of truth — your memory is not.
## §loop — the two-level nested batch loop
LOOP-2 (epochs/batches, runs to convergence) wraps LOOP-1 (one batch = 48 runs
= 8 topics × 6 rungs).
**Epoch start (once):**
1. `python ../../scripts/new_run_id.py --runs-root runs` → capture `run_id`.
Emit trace `run_start`.
**Batch start (each batch):**
2. `batch_id` = the highest `batch-N` in `runs/<run_id>/weights/` (cold start =
`batch-0`; do NOT pre-increment). Emit `batch_start`.
3. Generate configs from the current weights: call
`../../generator/gen_configs.py` `main(out_dir, w)` (it is `main(out_dir, w)`,
NOT an argparse CLI — invoke via a one-line `python -c` that imports it and
passes the loaded `weights/<batch_id>.json`). M1 note: gen_configs names
configs `config_{rung}.json` (rung only) — at 48 configs across 8 topics this
collides; a STAGE-2 patch must give them topic-bearing names before this loop
…Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/optimization-loop@sha256:21fb0457d44bb5d8The line at the top of this page pins the label git:20260916.f5399c9, 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_kqdwpcimvnnpsz6z)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 30, 2026 and Sep 16, 2026, about one every 77 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.f5399c9 latest | 2026-09-16 | f5399c9 | 8,825 B | A | view · diff |
| git:20260630.e7bc213 | 2026-06-30 | e7bc213 | 8,798 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8825 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
- pass: No script tag
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_kqdwpcimvnnpsz6z GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/optimization-loop GET https://markdownregistry.com/api/v1/blob/21fb0457d44bb5d8527433c4eb5fa3b119411b9c444ef9e0e3183243ff3568c0
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: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.