lhott-cohesive-linear

lhott-cohesive-linear is a skill for Claude Code, Codex from plurigrid/asi. It costs 53 tokens per session (1,773 once invoked), scanned A, original, MIT.

A mathematical framework combining cohesive homotopy type theory with linear type ideas to describe how information changes between discrete, continuous, and shape-based forms.

In plain words
What is it for?
Use it to model interaction entropy, convert content between several mathematical representations, and generate diagrams or trajectory descriptions.
Why use it?
It provides named operators and data structures for formalizing interactions where information may be transformed, embedded, or used only once.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to model interaction entropy, convert content between several mathematical representations, and generate diagrams or trajectory descriptions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/plurigrid/asi/lhott-cohesive-linear
Install

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.

Any agent
npx skills add plurigrid/asi --skill lhott-cohesive-linear
Clone the repo
git clone --depth 1 https://github.com/plurigrid/asi

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for lhott-cohesive-linear

README.md
[![agentmods](https://agentmods.dev/badge/skills/plurigrid/asi/lhott-cohesive-linear/github.svg)](https://agentmods.dev/skills/plurigrid/asi/lhott-cohesive-linear)
Your own site
<a href="https://agentmods.dev/skills/plurigrid/asi/lhott-cohesive-linear"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/lhott-cohesive-linear/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.

agentmods 80×15 button for lhott-cohesive-linear

Your own site · 80×15
<a href="https://agentmods.dev/skills/plurigrid/asi/lhott-cohesive-linear"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/lhott-cohesive-linear.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,773 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.01773
Opus 5 $0.00026 $0.00886
Sonnet 5 $0.00011 $0.00355
Haiku 4.5 $0.00005 $0.00177

Measured 8d ago against content hash 5f1a73e1b8fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

lhott-cohesive-linear 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 8d 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.

ies/music-topos/.agents/skills/lhott-cohesive-linear/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LHoTT Cohesive Linear Skill

Synthesizes Urs Schreiber's cohesive ∞-topos framework with Mitchell Riley's linear HoTT for interaction entropy formalization.

Modality Symbol Action Interaction Use
Sharp Discretize Extract trit from color
Flat Embed continuously Full LCH embedding
Shape ʃ Quotient by homotopy Walk trajectory class
Linear Self-adjoint tangent One-use interaction

GF(3) Triad Placement

This skill is ERGODIC (0), forming triads with:

persistent-homology (-1) ⊗ lhott-cohesive-linear (0) ⊗ topos-generate (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ lhott-cohesive-linear (0) ⊗ gay-mcp (+1) = 0 ✓
three-match (-1) ⊗ lhott-cohesive-linear (0) ⊗ rubato-composer (+1) = 0 ✓

Core Types (Pseudo-HoTT)

-- Cohesive interaction type
CohesiveInteraction : Type
  content : String
  hash : ♯ SHA256           -- discrete
  seed : ♭ UInt64           -- continuous embedding
  color : ♮ LCH             -- linear (used once)
  position : ʃ (ℤ × ℤ)      -- shape-invariant

-- Linear function (no copy/delete)
walk_step : CohesiveInteraction ⊸ Position × Color

-- Bunched triplet (entangled context)
Γ₁ ⊗ Γ₂ ⊗ Γ₃ ⊢ conserved : GF3Zero
  where trit(Γ₁) + trit(Γ₂) + trit(Γ₃) ≡ 0 (mod 3)

Diagram Generation

Mermaid Templates

Cohesive Quadruple:

flowchart LR
    subgraph "Cohesive ∞-Topos H"
        A[Type] -->|ʃ shape| B[Shape Type]
        A -->|♭ flat| C[Codiscrete]
        C -->|Γ sections| D[Discrete]
        D -->|♯ sharp| A
    end
    style A fill:#26D826
    style B fill:#2626D8
    style C fill:#D82626
    style D fill:#2626D8

Linear Walk:

stateDiagram-v2
    [*] --> I1: seed₁
    I1 --> I2: ⊸ (linear)
    I2 --> I3: ⊸ (linear)
    I3 --> [*]: triplet complete
    
    note right of I1: trit = +1
    note right of I2: trit = 0
    note right of I3: trit = -1

Bunched Context Tree:

graph TD
    Root["Γ (context)"] --> A["Γ₁ ⊗ Γ₂"]
    Root --> B["Γ₃"]
    A --> C["I₁ (+1)"]
    A --> D["I₂ (0)"]
    B --> E["I₃ (-1)"]
    
    style C fill:#D82626
    style D fill:#26D826
    style E fill:#2626D8

Read the full file on GitHub · 200 lines

Changes

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.

  1. 8d ago First seen · 200 lines · 53 tokens per session scan A 5f1a73e1b8fc

Subscribe to this mod's changes

lhott-cohesive-linear is a skill published in the GitHub repository plurigrid/asi (62 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 1,773 once invoked, about $0.0003 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 2026-09-01.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

phylogenetics

Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.

K-Dense-AI/scientific-agent-skills · 68 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens