artifact-detection SKILL.md skillA
artifact-detection 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/artifact-detection@git:20260615.7a62936Pins git:20260615.7a62936 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/artifact-detection/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260615.7a62936, committed Jun 15, 2026
- First version recorded
- May 19, 2026
- Size
- 3,076 bytes
- Repository stars
- 508
- License
- Apache-2.0
Detect annotation artifacts and shortcuts in benchmarks.
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
# Artifact Detection Tactic Systematically probe benchmarks for annotation artifacts, dataset shortcuts, and spurious correlations that allow models to achieve high scores without the intended capability. ## Stages ### Stage 1: Hypothesis-Only Baseline Test Search literature for evidence that partial-input baselines achieve unexpectedly high performance: - Hypothesis-only baselines (NLI without premise) - Question-only baselines (QA without context) - Label-word frequency baselines - Majority-class and surface-pattern baselines **Search queries**: "[benchmark] annotation artifacts", "[benchmark] hypothesis only", "[benchmark] spurious correlations", "[benchmark] dataset bias" If published partial-input results exist, record performance gap between partial and full input. Gap < 10 points above random indicates severe artifacts. ### Stage 2: Contrast Set Construction Identify whether contrast sets or adversarial evaluations exist: - Search for "[benchmark] contrast sets", "[benchmark] adversarial examples" - Check if CheckList-style behavioral tests have been applied - Look for counterfactual data augmentation studies …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/artifact-detection@sha256:a4fc474451467404The line at the top of this page pins the label git:20260615.7a62936, 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_7szej6pj2lcdxpfi)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between May 19, 2026 and Jun 15, 2026, about one every 27 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260615.7a62936 latest | 2026-06-15 | 7a62936 | 3,076 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 3,107 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 (3076 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_7szej6pj2lcdxpfi GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/artifact-detection GET https://markdownregistry.com/api/v1/blob/a4fc4744514674042cdbaafe211a4babf0f0fb79339ca9c0b700b6bc647d5453
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.