enumerate-dimension-values SKILL.md skillA
enumerate-dimension-values 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/enumerate-dimension-values@git:20260923.cbc38aaPins git:20260923.cbc38aa 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
skills/enumerate-dimension-values/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 3,185 bytes
- Repository stars
- 508
- License
- Apache-2.0
Enumerate meaningful values/levels for a dimension or factor. Mode controls representative, experimental, boundary, pathological, or adversarial coverage.
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
# enumerate-dimension-values ## Purpose Enumerate meaningful values or levels for a dimension or factor, including representative, experimental, boundary, pathological, or adversarial coverage. ## Input contract ```yaml required: [dimensions, value_schema, mode] optional: [ranges, spacing_strategy, domain_constraints, baseline_values] constraints: [values are typed to the dimension; mode determines representative, experimental, boundary, pathological, or adversarial coverage] ``` ## Procedure 1. Validate each dimension's type, range, units, and constraints. 2. Generate representative values and caller-requested boundary or extreme values. 3. For experimental mode, apply the supplied spacing strategy and preserve factor comparability. 4. Deduplicate and annotate rationale, provenance, and expected coverage. 5. Return the value set per dimension. If the dimension values are ready for controlled combination, consider `construct-design-matrix` as the next tactic. If the values define plausible perturbations around a conclusion, consider `assess-sensitivity` as the next tactic. ## Output contract ```yaml …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/enumerate-dimension-values@sha256:5c3a86e162f7eccbThe line at the top of this page pins the label git:20260923.cbc38aa, 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_ujwu7f4g4srikrap)
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Versions
The registry has recorded 1 version of this file, committed on Sep 23, 2026.
Audit of the latest version
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- pass: No instruction to send local credentials anywhere
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- pass: No curl or wget piped into a shell
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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_ujwu7f4g4srikrap GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/enumerate-dimension-values GET https://markdownregistry.com/api/v1/blob/5c3a86e162f7eccb4be7d7c53187528eb93a3a5a9d81e148d20e773313060f5e
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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.