anomaly-characterization SKILL.md skillA
anomaly-characterization 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/anomaly-characterization@v1.0.0Pins v1.0.0 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/anomaly-characterization/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Jun 16, 2026
- First version recorded
- May 19, 2026
- Size
- 2,424 bytes
- Repository stars
- 508
- License
- Apache-2.0
SOP: Describe and classify anomalous phenomena that existing theory cannot explain.
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
# Anomaly Characterization Systematically describe and classify anomalous phenomena to provide a precise starting point for abductive reasoning. ## HARD-GATE <HARD-GATE> Preconditions (all must hold before starting): 1. A concrete anomalous observation description is available (not a vague "the result is strange") 2. A reference baseline exists (expected result or theoretical prediction) for quantifying deviation Not satisfied → stop and return error: anomaly description insufficient, concrete observation and reference baseline required. </HARD-GATE> ## Pipeline 1. Precondition check: verify completeness of anomaly description and reference baseline 2. Phenomenon description: restate the anomaly in precise language (what was observed vs. what was expected) 3. Quantify deviation from expectation: quantify or qualitatively describe the degree of deviation (magnitude, direction, frequency) 4. Exclude known explanations: enumerate and rule out possible trivial explanations one by one (measurement error, sampling bias, known effects) …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/anomaly-characterization@sha256:77419a77ea52eae9The line at the top of this page pins the label v1.0.0, 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_xbiitrrrrcrlp7rl)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 19, 2026 and Jun 16, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-06-16 | a52917d | 2,424 B | A | view · diff |
| v1.0.0 | 2026-06-15 | 7a62936 | 2,083 B | A | view · diff |
| v1.0.0 | 2026-05-19 | dc15fe2 | 2,089 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 (2424 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_xbiitrrrrcrlp7rl GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/anomaly-characterization GET https://markdownregistry.com/api/v1/blob/77419a77ea52eae9052eb54fe8e4401786fd04cb76d54d774f317c361af8fcaa
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.