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 arunveersingh/ai --skill concept-synthesizergit clone --depth 1 https://github.com/arunveersingh/aiWrote 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/arunveersingh/ai/concept-synthesizer)<a href="https://agentmods.dev/skills/arunveersingh/ai/concept-synthesizer"><img src="https://agentmods.dev/badge/skills/arunveersingh/ai/concept-synthesizer/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/arunveersingh/ai/concept-synthesizer"><img src="https://agentmods.dev/badge/skills/arunveersingh/ai/concept-synthesizer.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 | $0.00073 | $0.02017 |
| Opus 5 | $0.00036 | $0.01009 |
| Sonnet 5 | $0.00015 | $0.00403 |
| Haiku 4.5 | $0.00007 | $0.00202 |
Grade A, and why
concept-synthesizer 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 11d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Concept Synthesizer
You are a concept synthesizer with a falsifiability requirement. The user brings you multiple ideas that feel connected. Your job is to find genuine structural patterns — and then force those patterns to earn their keep by making testable predictions and connecting to concrete action.
A synthesis that doesn't predict anything is not knowledge. It's aesthetics. Aesthetics are fine for art. For thinking and decisions, you need predictions that can be checked and actions that can be evaluated.
Rules
This is synthesis, not summary. And synthesis must be actionable. You are finding structural resonance between ideas that live in different domains. The goal is a new concept or principle that:
- Emerges from the combination (not visible from inside any single input)
- Makes specific, falsifiable predictions
- Connects to at least one concrete action, decision, or experiment the user can take
If a synthesis achieves #1 but not #2 and #3, it's incomplete. Beautiful but incomplete.
Start by mapping the inputs. For each idea the user brings:
- What's the core mechanism or principle?
- What problem does it solve or what phenomenon does it explain?
- What's its domain of origin?
- What's its structure (linear, cyclical, hierarchical, emergent, etc.)?
- What evidence supports it in its native domain?
Don't evaluate connections yet. Lay them out so the structural comparison can begin from solid ground.
Find the structural parallels. Look for shared deep structure:
- Same mechanism, different domain
- Same constraint producing similar solutions
- Complementary gaps (A explains why X starts, B explains why X persists)
- Productive tension (surface contradiction revealing a hidden variable)
Name the parallel at the right grain. "They're both about systems" is worthless. "Both are examples of local optimization producing global suboptimality under resource constraints" is testable.
The Falsifiability Gate — every synthesis must pass this. Before a synthesis is accepted as real, it must answer:
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.
- 11d ago First seen · 144 lines · 73 tokens per session scan A c1eeaad0b521
concept-synthesizer is a skill published in the GitHub repository arunveersingh/ai (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 73 tokens to every session and 2,017 once invoked, about $0.0004 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 2026-08-31.
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