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 blend-constructiongit 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/blend-construction)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/blend-construction"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/blend-construction/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/blend-construction"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/blend-construction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00032 | $0.00343 |
| Opus 5 | $0.00016 | $0.00171 |
| Sonnet 5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
blend-construction 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.
What it actually says
Blend Construction
Construct complete 4-space blends with emergent structure following the Fauconnier-Turner conceptual integration network model.
Stages
Stage 1: Input Space Construction
Build rich input spaces for both source concepts using input-space-construction SOP. Each space must include elements, relations, attributes, and internal logic.
Stage 2: Generic Space Extraction
Extract the shared abstract structure from both input spaces using generic-space-extraction SOP. The generic space captures what the two inputs have in common at the most abstract level.
Stage 3: Blend Composition
Compose the blended space by selectively projecting structure from both inputs and creating new connections using blend-composition SOP. The blend must develop emergent structure not present in either input.
Minimum Yield
| Metric | Floor |
|---|---|
| Complete 4-space blends | ≥2 |
| Emergent structures per blend | ≥1 |
| Vital relations compressed | ≥3 per blend |
| Novel connections in blend | ≥2 per blend |
Available SOPs
| SOP | Role |
|---|---|
| input-space-construction | Stage 1 — build input spaces |
| generic-space-extraction | Stage 2 — extract shared structure |
| blend-composition | Stage 3 — compose blended space |
| blend-completion | Post-Stage 3 — recruit background knowledge |
| vital-relation-mapping | Pre-Stage 1 — map vital relations to guide projection |
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 · 44 lines · 32 tokens per session scan A fb3cfb0c5672
blend-construction 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 32 tokens to every session and 343 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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