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 biologize-and-discovergit 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/biologize-and-discover)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/biologize-and-discover"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/biologize-and-discover/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/biologize-and-discover"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/biologize-and-discover.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 62 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 | $0.00040 | $0.00751 |
| Opus 5 | $0.00020 | $0.00376 |
| Sonnet 5 | $0.00008 | $0.00150 |
| Haiku 4.5 | $0.00004 | $0.00075 |
Grade A, and why
biologize-and-discover 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 9d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Biologize and Discover
Apply the Biomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate.
State Ledger
| Resource | Target | Current | % |
|---|---|---|---|
| web-search | 30 | 0 | 0% |
| web-research | 10 | 0 | 0% |
| paper-overview | 30 | 0 | 0% |
| paper-search | 20 | 0 | 0% |
| paper-research | 8 | 0 | 0% |
HARD-GATE
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
Available Tactics
| Tactic | Role |
|---|---|
| biological-function-mapping | Map technical functions to biological systems |
| analogy-extraction | Extract transferable principles from biological domains |
Available SOPs
| SOP | Role |
|---|---|
| problem-biologization | Define → Biologize: restate problem as biological question |
| organism-discovery | Discover: find organisms solving the biological question |
| biological-strategy-extraction | Abstract: extract mechanism-level strategies |
| emulation-generation | Emulate: generate technical solutions from strategies |
| biomimicry-synthesis | Synthesize final output |
Execution Guidance
- Define: Clarify the technical challenge in functional terms
- Biologize: Use problem-biologization to restate as biological question
- Discover: Use organism-discovery to find nature's champions
- Abstract: Use biological-strategy-extraction to extract principles
- Emulate: Use emulation-generation to create technical solutions
- Synthesize: Produce structured biomimicry report
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| biological-function-mapping | Map technical functions to biological systems. Orchestrates problem-biologization → organism-discovery → functional-model-biology. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| abstraction-to-design | Abstract biological principle to design principle. Bridge from biology to engineering. |
| biological-strategy-extraction | Extract strategy principles from organisms. Identify mechanism-level details of how biological systems achieve their function. |
| biomimicry-synthesis | Synthesize all biomimicry outputs into a structured idea report. Integrate biological strategies, design principles, and technical solutions. |
| emulation-generation | Generate technical solutions emulating biological strategies. Bridge from design principle to concrete implementation. |
| organism-discovery | Find organisms solving similar problems. Search across kingdoms for biological champions. |
| problem-biologization | Restate technical problem as biological question. Translate engineering challenges into nature's language. |
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.
- 9d ago First seen · 86 lines · 40 tokens per session scan A 2be7f79e979f
biologize-and-discover is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (462 stars, last pushed 3d ago), licensed Apache-2.0. It adds 40 tokens to every session and 751 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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