assess-construct-validity SKILL.md skillA
assess-construct-validity 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/assess-construct-validity@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/assess-construct-validity/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,979 bytes
- Repository stars
- 508
- License
- Apache-2.0
Assess whether a benchmark measures its claimed capability using content, convergent, discriminant, and confound analysis.
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
# assess-construct-validity ## Purpose Assess whether a benchmark or evaluation construct measures the claimed capability rather than content cues, confounds, or unrelated skill. ## Input contract ```yaml required: [construct_claim, benchmark_specification, evaluation_records] optional: [content_analysis, convergent_measures, discriminant_measures, confound_hypotheses] constraints: [each validity judgment requires an observable indicator, comparison basis, and provenance] ``` ## Procedure 1. State the target construct and map benchmark tasks, labels, and metrics to its intended components. 2. Check content coverage and plausible construct-irrelevant cues against the benchmark specification. 3. Compare convergent and discriminant evidence where available, preserving missing comparisons. 4. Test confound hypotheses with controlled contrasts or artifact probes and record residual uncertainty. If construct validity depends on whether the operationalization covers the intended domain, consider `map-coverage-space` 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/assess-construct-validity@sha256:723f84110dff5971The 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_4v7fcgo4j6q52qmh)
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Versions
The registry has recorded 1 version of this file, committed on Sep 23, 2026.
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 (1979 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_4v7fcgo4j6q52qmh GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/assess-construct-validity GET https://markdownregistry.com/api/v1/blob/723f84110dff59715d2cf55221620adea7c78e9dd69eaeae893243e4801e2e05
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.