baseline-establishment skillA
baseline-establishment is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: SOTA Performance Baseline Campaign — 5 strategies for systematically.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Baseline Establishment ## Strategy Routing | User Intent | Route To | |-------------|----------| | Find all methods for a task | method-inventory | | Extract scores from papers | performance-extraction | | Normalize conditions across papers | condition-standardization | | Check reproducibility / discrepancies | discrepancy-analysis | | Track progress over time / headroom | progress-quantification | ## Manifest ### Strategies (5) | Strategy | Purpose | |----------|---------| | method-inventory | Comprehensively identify all relevant methods for a task | | performance-extraction | Systematically extract performance data and conditions from papers | | condition-standardization | Standardize evaluation condition differences across papers | | discrepancy-analysis | Identify discrepancies between reported and reproducible scores | | progress-quantification | Track performance progress over time, quantify remaining headroom | ### Tactics (3) | Tactic | Purpose | |--------|---------| | leaderboard-harvesting | Systematically collect performance data from platforms and papers | | condition-normalization | Compare and standardize experimental conditions across papers | …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/baseline-establishment@git:20260809.fa000d2mdr add yogsoth-ai/de-anthropocentric-research-engine/baseline-establishment@sha256:771d8a2317d1a2b9Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_bh57sumbk2dr3qtz)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260809.fa000d2 latest | 2026-08-09 | fa000d2 | 5,323 B | A | view · diff |
| git:20260616.b2b0cde | 2026-06-16 | b2b0cde | 5,351 B | A | view · diff |
| git:20260615.b734c35 | 2026-06-15 | b734c35 | 5,329 B | A | view · diff |
| git:20260615.7a62936 | 2026-06-15 | 7a62936 | 3,717 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 3,537 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 (5323 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 · 497 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bh57sumbk2dr3qtz GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/baseline-establishment GET https://markdownregistry.com/api/v1/blob/771d8a2317d1a2b96a33cf5b2908eb08e5fede1ecb0ce1a85a51d6c3e99fe20e
Your agent 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.