discover-biological-analog SKILL.md skillA
discover-biological-analog 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/discover-biological-analog@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/discover-biological-analog/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,502 bytes
- Repository stars
- 508
- License
- Apache-2.0
Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity.
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
# discover-biological-analog ## Purpose Identify biological systems that achieve a target function under comparable constraints. ## Input contract ```yaml required: [biological_function, biological_constraints] optional: [search_terms, candidate_taxa, environment] constraints: [candidate must demonstrate the function, not merely resemble the target] ``` ## Procedure 1. Search across organism, process, and ecosystem levels using the function formulation. 2. Verify the candidate's observed function and environmental constraints. 3. Rank candidates by mechanism evidence and transfer relevance. If an analog matches the target function under relevant constraints, consider `extract-biological-strategy` as the next tactic. ## Output contract ```yaml produces: [biological_candidate_set, function_evidence, relevance_ranking] delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps] ``` ## Quality gates - Each candidate has function evidence, constraint match, and a stated uncertainty; surface similarity is not a ranking criterion. ## Failure and counterexamples Exclude candidates supported only by analogy language, stock imagery, or incompatible conditions. …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/discover-biological-analog@sha256:1b5cacfee3a3c36aThe 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_3z3hxcbp37irva64)
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Versions
The registry has recorded 1 version of this file, committed on Sep 23, 2026.
Audit of the latest version
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- 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_3z3hxcbp37irva64 GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/discover-biological-analog GET https://markdownregistry.com/api/v1/blob/1b5cacfee3a3c36a00150fda7cafd74a28465d6681beff24925c039732d64f69
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