characterize-anomaly SKILL.md skillA
characterize-anomaly 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/characterize-anomaly@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/characterize-anomaly/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,631 bytes
- Repository stars
- 508
- License
- Apache-2.0
Precisely characterize an anomaly by contrasting observation with expectation, quantifying deviation where possible, recording conditions, and excluding obvious/trivial explanations before generating hypotheses.
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
# characterize-anomaly ## Purpose Characterize an observation that departs from an expected pattern and separate signal from measurement or protocol artifact. ## Input contract ```yaml required: [observation, reference_pattern, condition_records] optional: [uncertainty_estimates, replication_records, artifact_hypotheses] constraints: [anomaly status requires a defined comparison and condition context] ``` ## Procedure 1. Define the expected pattern and comparison basis. 2. Quantify the departure with uncertainty and condition alignment. 3. Test plausible data, protocol, and mechanism explanations. 4. Classify the anomaly and identify discriminating follow-up evidence. If the anomaly is reproducible and not explained by a recording artifact, consider `generate-competing-hypotheses` as the next tactic. ## Output contract ```yaml produces: [anomaly_description, comparison_basis, explanation_set, discriminating_evidence] delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps] ``` ## Quality gates - The reference pattern and departure measure are explicit. - Artifact explanations are checked before causal interpretations. ## Failure and counterexamples …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/characterize-anomaly@sha256:4830a2bcce668edbThe 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_klcdjdhw52kocyof)
3 badge image fetches in 30 days. What the badge shows.
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 (1631 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_klcdjdhw52kocyof GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/characterize-anomaly GET https://markdownregistry.com/api/v1/blob/4830a2bcce668edb39354f6b27376a446e783d0aaacd05374ea52aa09e85a31a
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.