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 conceptual-blendinggit 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/conceptual-blending)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/conceptual-blending"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/conceptual-blending/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/conceptual-blending"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/conceptual-blending.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 | $0.00037 | $0.00665 |
| Opus 5.5 | $0.00015 | $0.00266 |
| Sonnet 5.5 | $0.00007 | $0.00133 |
| Haiku 4.5 | $0.00004 | $0.00067 |
Grade A, and why
conceptual-blending 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
conceptual-blending
Purpose
Blend multiple input spaces through a generic space and selective projection to generate emergent research ideas.
Input contract
mode_contracts:
two-space-blend: &blending_input
required: [input_spaces]
optional: [compatibility_constraints]
constraints: [each_input_space_must_have_explicit_entities_and_relations]
multi-space-blend: *blending_input
emergent-property-search: *blending_input
Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
construct-input-spacesto construct the input spaces. - You MUST load skill
extract-generic-spaceto extract the generic space. - You MUST load skill
simulate-emergent-propertiesto simulate emergent properties. - You MUST load skill
evaluate-compatibilityto check compatibility. - You MUST load skill
synthesize-ideato synthesize the blend. If the blend should be explored across a systematic combination space, considerexplore-dimensional-space. If its claimed structural transfer needs formal testing, consideraudit-structural-equivalence. Deviation: two-space and multi-space modes change only the number of inputs; generic-space extraction is mandatory.
Mode branches
two-space-blend: blend two explicit input spaces.multi-space-blend: blend three or more spaces while preserving each projection trace.emergent-property-search: prioritize properties absent from every source space alone.
Output contract
mode_contracts:
two-space-blend: &space_blend_output
produces: [input_space_set, generic_space, blend_candidates, idea_set]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]
multi-space-blend: *space_blend_output
emergent-property-search:
produces: [input_space_set, blend_candidates, emergent_property_report, idea_set]
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 · 55 lines · 37 tokens per session scan A a559588d6e33
conceptual-blending 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 37 tokens to every session and 665 once invoked, about $0.0001 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.
conceptual-blending compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| conceptual-blendingyogsoth-ai/de-anthropocentric-research-engine | Skill | 510 | 15d ago | Apache-2.0 | A | 37 | 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 |