decompose-evaluation-metric SKILL.md skillA
decompose-evaluation-metric 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/decompose-evaluation-metric@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/decompose-evaluation-metric/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,574 bytes
- Repository stars
- 508
- License
- Apache-2.0
Decompose an evaluation metric into rewarded signals, aggregation choices, polarity, ceiling effects, and Goodhart vulnerabilities.
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
# decompose-evaluation-metric ## Purpose Decompose an evaluation metric into rewarded signals, aggregation choices, polarity, ceiling effects, and Goodhart vulnerabilities. ## Input contract ```yaml required: [metric_definition, scored_outputs] optional: [reference_standard, aggregation_rule, known_failure_cases] constraints: [each component must have a declared direction and interpretation] ``` ## Procedure 1. Split the metric into primitive signals and aggregation operations. 2. Record polarity, scale, weighting, normalization, and ceiling/floor behavior. 3. Map rewarded shortcuts and construct-irrelevant incentives. 4. State interpretation limits and diagnostic needs. If metric components are explicit but their link to the intended construct remains uncertain, consider `assess-construct-validity` as the next tactic. ## Output contract ```yaml produces: [metric_components, aggregation_map, polarity_and_scale, ceiling_analysis, goodhart_risks] delta_fields: [findings, evidence_updates, uncertainties, open_questions] ``` ## Quality gates - Component contributions and aggregation are reconstructible. …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/decompose-evaluation-metric@sha256:1fa20cbf4a39e292The 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_4pjrjvrfhuo6go63)
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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
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- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1574 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_4pjrjvrfhuo6go63 GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/decompose-evaluation-metric GET https://markdownregistry.com/api/v1/blob/1fa20cbf4a39e292e06f2c0e8a61875bd8c68302cfb5e22b759cfdd525104df2
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.