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 plurigrid/asi --skill exponential-topology-communicationgit clone --depth 1 https://github.com/plurigrid/asiWrote 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/plurigrid/asi/exponential-topology-communication)<a href="https://agentmods.dev/skills/plurigrid/asi/exponential-topology-communication"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/exponential-topology-communication/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/plurigrid/asi/exponential-topology-communication"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/exponential-topology-communication.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 | $0.00000 | $0.00609 |
| Opus 5 | $0.00000 | $0.00304 |
| Sonnet 5 | $0.00000 | $0.00122 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
exponential-topology-communication 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 7d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exponential Topology Communication
Category: Phase 3 Core - Scalable Communication
Status: Skeleton Implementation
Dependencies: oriented-simplicial-networks (for topological structure)
Overview
Implements ExpoComm framework for exponentially efficient communication in large-scale systems using hyperbolic embeddings, O(log N) routing, and spectral gap optimization for rapid information dissemination.
Capabilities
- Hyperbolic Embeddings: Embed agents in hyperbolic space
- O(log N) Routing: Greedy routing with logarithmic complexity
- Spectral Gap Optimization: Maximize mixing time via graph structure
- Scalable Broadcast: Efficient all-to-all communication
Core Components
-
Hyperbolic Embeddings (
hyperbolic_embeddings.jl)- Poincaré disk model
- Greedy embedding algorithms
- Distance computation
-
ExpoComm Routing (
expocomm_routing.jl)- Greedy hyperbolic routing
- Load balancing strategies
- Fault tolerance
-
Spectral Optimization (
spectral_optimization.jl)- Graph Laplacian analysis
- Spectral gap maximization
- Expander graph construction
-
Scalability Analysis (
scalability_analysis.jl)- Communication complexity bounds
- Scaling experiments
- Comparison with Euclidean approaches
Integration Points
- Input from:
oriented-simplicial-networks(communication topology) - Output to:
emergent-role-assignment(communication structure influences roles) - Coordinates with:
sheaf-theoretic-coordination(consensus over hyperbolic graphs)
Usage
using ExponentialTopologyCommunication
# Create network of N agents
N = 1000
graph = random_power_law_graph(N, exponent=2.5)
# Compute hyperbolic embeddings
embeddings = hyperbolic_embedding(graph, dim=2)
# Route message from source to target
path = greedy_route(embeddings, source=1, target=N)
@assert length(path) <= 2 * log2(N) # O(log N) guarantee
# Analyze spectral properties
spectral_gap = compute_spectral_gap(graph)
mixing_time = estimate_mixing_time(spectral_gap, N)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 80 lines · 0 tokens per session scan A c64625ee1555
exponential-topology-communication is a skill published in the GitHub repository plurigrid/asi (62 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 609 tokens. 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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