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 biomimicrygit 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/biomimicry)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimicry"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimicry/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/biomimicry"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/biomimicry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 116 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00037 | $0.01684 |
| Opus 5 | $0.00018 | $0.00842 |
| Sonnet 5 | $0.00007 | $0.00337 |
| Haiku 4.5 | $0.00004 | $0.00168 |
Grade A, and why
biomimicry 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 7d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Biomimicry
Discover transferable solutions from biological systems via Design Spiral, BioTRIZ, functional analogy, ecosystem patterns, and evolution strategies.
Strategy Routing
| Strategy | Signal Keywords |
|---|---|
| biologize-and-discover | biologize, design spiral, nature solves, organism, biomimicry design |
| biotriz-resolution | contradiction, bio-principle, biological TRIZ, trade-off, bio conflict |
| functional-analogy | function, biological function, organism mapping, how nature does X |
| ecosystem-pattern | ecosystem, symbiosis, emergence, resilience, cycles, network |
| evolution-strategy | evolution, selection, mutation, adaptation, radiation, speciation |
Manifest
Strategies
| Strategy | Description |
|---|---|
| biologize-and-discover | Biomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate |
| biotriz-resolution | BioTRIZ: biological 40 principles + bio contradiction matrix |
| functional-analogy | Map technical functions to biological functions, find organisms |
| ecosystem-pattern | Extract ecosystem-level organization patterns (symbiosis, emergence, resilience) |
| evolution-strategy | Use evolution mechanisms (selection, mutation, radiation) as design operators |
Tactics
| Tactic | Description |
|---|---|
| analogy-extraction | Extract transferable structural principles from source domains (shared) |
| biological-function-mapping | Map technical functions to biological systems via biologize→discover→model |
| life-principles-application | Apply life's principles as design constraints via ecosystem→evolution→abstraction |
SOPs
| SOP | Description |
|---|---|
| problem-biologization | Restate technical problem as biological question |
| organism-discovery | Find organisms solving similar problems |
| biological-strategy-extraction | Extract strategy principles from organisms |
| biotriz-principle-selection | Select applicable BioTRIZ principles |
| functional-model-biology | Build biological system functional model |
| abstraction-to-design | Abstract biological principle to design principle |
| emulation-generation | Generate technical solutions emulating biological strategies |
| ecosystem-pattern-extraction | Extract ecosystem-level organization patterns |
| evolution-mechanism-transfer | Map evolution mechanisms to design operations |
| biomimicry-synthesis | Synthesize all biomimicry outputs |
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.
- 7d ago First seen · 155 lines · 37 tokens per session scan A 4b3ee09692b2
biomimicry is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (456 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 1,684 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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