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 Abilityai/cornelius --skill synthesize-insightsgit clone --depth 1 https://github.com/Abilityai/corneliusWrote 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/abilityai/cornelius/synthesize-insights)<a href="https://agentmods.dev/skills/abilityai/cornelius/synthesize-insights"><img src="https://agentmods.dev/badge/skills/abilityai/cornelius/synthesize-insights/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/abilityai/cornelius/synthesize-insights"><img src="https://agentmods.dev/badge/skills/abilityai/cornelius/synthesize-insights.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 | $0.00011 | $0.01540 |
| Opus 5 | $0.00005 | $0.00770 |
| Sonnet 5 | $0.00002 | $0.00308 |
| Haiku 4.5 | $0.00001 | $0.00154 |
Grade A, and why
synthesize-insights 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 6d 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthesize Insights
Combine multiple insights or permanent notes into a coherent narrative, framework, or argument. Discovers patterns and connections across disparate ideas.
Usage
/synthesize-insights <note names or topic cluster>
Parameters
- note names: List of specific notes to synthesize
- Comma-separated: "[[Note A]], [[Note B]], [[Note C]]"
- Or topic cluster: "All notes about dopamine and AI"
- Or theme: "Buddhism and neuroscience connections"
Examples
Synthesize Specific Notes
/synthesize-insights [[AI adoption bottleneck is psychological]], [[Professional identity creates AI resistance]], [[Belief is a way to deal with Uncertainty]]
Synthesize Topic Cluster
/synthesize-insights All notes connecting dopamine, social media, and AI
Synthesize Theme
/synthesize-insights Buddhism-neuroscience-AI triangle
Workflow
-
Gather Notes
- If specific notes listed: Retrieve those notes
- If topic/theme: Use /recall or Local Brain Search to find cluster
- Aim for 5-10 notes minimum
-
Find Patterns
- Identify common themes
- Discover non-obvious connections
- Note contradictions or tensions
- Find consilience zones (multiple perspectives converging)
-
Build Narrative
- Structure: Pattern → Evidence → Implications
- Show how insights relate and build on each other
- Highlight emergent understanding
- Suggest frameworks or models
-
Output Synthesis
- Coherent narrative (3-5 paragraphs)
- Pattern description
- Supporting evidence from notes
- Implications and applications
- Suggested next steps or questions
Output Format
🔗 Synthesis: [Topic/Theme]
**Pattern Identified:**
[Description of overarching pattern or framework emerging from notes]
**Key Connections:**
1. [Connection 1]: [[Note A]] + [[Note B]]
[How these notes relate and what emerges]
2. [Connection 2]: [[Note C]] + [[Note D]] + [[Note E]]
[Multi-way connection and emergent insight]
3. [Connection 3]: [[Note F]] ↔ [[Note G]]
[Bidirectional or tension between notes]
**Emergent Understanding:**
[What new insight emerges from synthesizing these notes that wasn't obvious in any single note]
**Implications:**
- [Implication 1 for thinking/practice]
- [Implication 2 for content/frameworks]
- [Implication 3 for future exploration]
**Suggested Applications:**
- Article topic: "[Potential article title]"
- Framework: "[Potential framework name]"
- Research direction: "[Area to explore further]"
📝 Synthesized Notes:
- [[Note 1]] - Role in synthesis
- [[Note 2]] - Role in synthesis
- [[Note 3]] - Role in synthesis
[...]
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.
- 6d ago First seen · 243 lines · 11 tokens per session scan A 0d3974c04fa1
synthesize-insights is a skill published in the GitHub repository Abilityai/cornelius (106 stars, last pushed 16d ago), licensed MIT. It adds 11 tokens to every session and 1,540 once invoked, about $0.0001 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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