ahp-weighting skillA
ahp-weighting is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: SOP: Use the AHP (Analytic Hierarchy Process) to determine scoring-dimension weights, outputting a weight vector.
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
# AHP Weighting Use the AHP (Analytic Hierarchy Process) to determine scoring-dimension weights, outputting a weight vector. ## HARD-GATE <HARD-GATE> - The number of input dimensions must be in the range [2, 9] (AHP applicability range) - The elements of the output weight vector must sum to 1.0 (±0.001 tolerance allowed) - The consistency ratio CR must be computed and reported; if CR > 0.1 a warning must be flagged </HARD-GATE> ## Pipeline 1. **Precondition check**: verify the dimension list is non-empty and its count is in the range [2, 9] 2. **Dimension list confirmation**: output the dimension list for the caller to confirm; if a comparison matrix is already provided, skip to step 4 3. **Pairwise comparison matrix construction**: for each pair of dimensions (i, j) assign a Saaty scale value (1-9); the matrix must satisfy a[j][i] = 1/a[i][j] 4. **Eigenvector computation**: normalize each column then take row means to obtain the priority vector (weights) 5. **Consistency ratio check**: compute the largest eigenvalue λ_max → consistency index CI = (λ_max - n)/(n-1) → CR = CI/RI (look up the Saaty RI table); CR < 0.1 is acceptable …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/ahp-weighting@v1.0.0mdr add yogsoth-ai/de-anthropocentric-research-engine/ahp-weighting@sha256:d8815e5052f970ffPin 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_luhxyyoozdukk4id)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-06-16 | a52917d | 2,139 B | A | view · diff |
| v1.0.0 | 2026-06-15 | 7a62936 | 1,844 B | A | view · diff |
| v1.0.0 | 2026-05-19 | dc15fe2 | 1,850 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 (2139 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_luhxyyoozdukk4id GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/ahp-weighting GET https://markdownregistry.com/api/v1/blob/d8815e5052f970ffbfddcb8df8f24c967d6aa0d7eb96654a035dbe82f2e5fe46
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