ladder-quality-order SKILL.md skillA
ladder-quality-order 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/ladder-quality-order@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/ladder-quality-order/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260916.f5399c9, committed Sep 16, 2026
- First version recorded
- Jun 30, 2026
- Size
- 3,058 bytes
- Repository stars
- 508
- License
- Apache-2.0
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
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-quality-order (loss-2) You rank ONE topic's 6 research-design samples (each a research_graph + research_result pair) by quality. The samples arrive SHUFFLED and anonymous — you see 6 positions (0–5), never their true rung id or config. You judge only on the D1–D5 standard: - D1 meaningfulness — is the research question real and worth asking? - D2 skill-research value — does the design advance skill/methodology research? - D3 use-to-DARE — is it usable by the DARE engine? - D4 respects the 4-layer architecture (campaign → strategy → tactic → sop)? - D5 prerequisites — are the stated prerequisites sound and met? Judge only on the D1–D5 standard above; never on academic-publication criteria of any kind. You never see any quality-check list. ## Pairwise mechanism You will be asked to compare two positions at a time. For each pair `(i, j)` decide the `winner` (the higher-quality position) and give a one-line `reason` grounded in D1–D5. Do not assign absolute scores — only pick a winner per pair. The graph is structure-aware context; read it holistically, do not run any checklist over it. The harness enumerates all 15 pairs (i<j over 6 positions), Copeland-aggregates …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/ladder-quality-order@sha256:4d1018ad52c02730The 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_ogrgmszgishgtcd6)
4 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 | 3,058 B | A | view · diff |
| git:20260630.4512b35 | 2026-06-30 | 4512b35 | 3,031 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 (3058 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_ogrgmszgishgtcd6 GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/ladder-quality-order GET https://markdownregistry.com/api/v1/blob/4d1018ad52c02730f3180e0e8a76ec3be83358994ebf7213c1b1e36602f406a4
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.