adaptive-pair-selection skillA
adaptive-pair-selection is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Iteratively select maximally informative pairs, execute comparisons,.
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
# Adaptive Pair Selection Select the next comparison pair by information gain, execute the comparison, update ratings, and check for convergence. Repeats until the ranking stabilizes or the comparison budget is exhausted. ## Stages 1. **Select** — pair-selector identifies the pair whose comparison would most reduce uncertainty 2. **Compare** — comparison-executor produces a judgment with confidence and reasoning 3. **Update** — rating-update incorporates the new judgment into the rating model 4. **Check** — convergence-check determines if ranking has stabilized Loop stages 1-4 until convergence or budget exhaustion. ## Available SOPs | Stage | SOP | Input | Output | |-------|-----|-------|--------| | Select | pair-selector | current_ratings, comparison_history | next_pairs[] | | Compare | comparison-executor | pair, context | judgment | | Update | rating-update | judgment, current_ratings, method | updated_ratings | | Check | convergence-check | rating_history | converged, stability_score | ## Execution Guidance - Start with high-uncertainty pairs (largest sigma or most uncertain boundary) - For small N: may complete all pairs in first pass, then focus on inconsistencies …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/adaptive-pair-selection@git:20260616.b2b0cdemdr add yogsoth-ai/de-anthropocentric-research-engine/adaptive-pair-selection@sha256:f7209e8bbb90afeePin 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_inlm4dntw2gifrvj)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260616.b2b0cde latest | 2026-06-16 | b2b0cde | 2,696 B | A | view · diff |
| git:20260615.48da2e0 | 2026-06-15 | 48da2e0 | 2,685 B | A | view · diff |
| git:20260615.7a62936 | 2026-06-15 | 7a62936 | 1,977 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 1,897 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 (2696 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 · 498 stars · license Apache-2.0 · pushed 2026-09-17 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_inlm4dntw2gifrvj GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/adaptive-pair-selection GET https://markdownregistry.com/api/v1/blob/f7209e8bbb90afee8a5b9d6624f952b7fb4020be75a10f4177f1baeba44e0daf
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