categorize-evidence SKILL.md skillA
categorize-evidence 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/categorize-evidence@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/categorize-evidence/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,597 bytes
- Repository stars
- 508
- License
- Apache-2.0
Cluster an evidence corpus by theme, method, chronology, mechanism, or another declared schema.
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
# categorize-evidence ## Purpose Cluster an evidence corpus by a declared thematic, methodological, chronological, mechanistic, or other schema. ## Input contract ```yaml required: [evidence_records, category_schema] optional: [coding_rules, multi_label_policy, seed_categories] constraints: [category assignments require record evidence and allow explicit multi-label or unknown states] ``` ## Procedure 1. Define category semantics and assignment rules. 2. Code each record using the declared evidence fields. 3. Review boundary cases and preserve multi-label or unresolved assignments. 4. Summarize category coverage and representative records. If categorized sources now need claim-level structured records, consider `extract-evidence-record` as the next tactic. ## Output contract ```yaml produces: [categorized_corpus, category_definitions, boundary_cases, coverage_summary] delta_fields: [findings, evidence_updates, uncertainties, open_questions] ``` ## Quality gates - Categories are mutually interpretable even when not mutually exclusive. - Every assignment is traceable to record fields. ## Failure and counterexamples …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/categorize-evidence@sha256:16b630defbd85abaThe 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_fgr7wgd7ucjvop3b)
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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
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- pass: Size between 200 bytes and 200 KB (1597 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_fgr7wgd7ucjvop3b GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/categorize-evidence GET https://markdownregistry.com/api/v1/blob/16b630defbd85abac3f807733a6912b0362011968b51a4cbb6c01aa91bab77f8
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.