Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill biomimetic-transfergit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimetic-transfer)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimetic-transfer"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimetic-transfer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimetic-transfer"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimetic-transfer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.00670 |
| Opus 5.5 | $0.00016 | $0.00268 |
| Sonnet 5.5 | $0.00008 | $0.00134 |
| Haiku 4.5 | $0.00004 | $0.00067 |
Grade A, and why
biomimetic-transfer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
biomimetic-transfer
Purpose
Translate a target problem into biological functions, find analogous living systems, extract causal strategies, and transfer them back.
Input contract
mode_contracts:
biologize-and-discover: &biomimetic_input
required: [target_problem, target_function]
optional: [biological_search_space, compatibility_constraints]
constraints: [function_must_be_stated_independently_of_the_target_implementation]
BioTRIZ: *biomimetic_input
Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
biologize-problemto biologize the problem. - You MUST load skill
discover-biological-analogto discover biological analogs. - You MUST load skill
extract-biological-strategyto extract the causal strategy. - You MUST load skill
instantiate-transferto instantiate the target transfer. - You MUST load skill
evaluate-compatibilityto check compatibility. If a viable transfer requires composing mechanisms from multiple biological analogs rather than applying one causal strategy, considerconceptual-blendingas the next tactic. Deviation: BioTRIZ mode may branch during strategy extraction, but all five checks remain required.
Mode branches
biologize-and-discover: translate function, search biological analogs, then extract mechanism.BioTRIZ: use biological contradiction/principle framing during strategy extraction before transfer.
Output contract
mode_contracts:
biologize-and-discover:
produces: [biological_question, biological_candidate_set, biological_strategies, design_principles, technical_solutions]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]
BioTRIZ:
produces: [contradiction, biotriz_principles, biological_case_mapping, biological_strategies, design_principles, technical_solutions]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 53 lines · 39 tokens per session scan A a49624ac49f2
biomimetic-transfer is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (510 stars, last pushed 15d ago), licensed Apache-2.0. It adds 39 tokens to every session and 670 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.
biomimetic-transfer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| biomimetic-transferyogsoth-ai/de-anthropocentric-research-engine | Skill | 510 | 15d ago | Apache-2.0 | A | 39 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |