Skip to content
Back to skills

Sheaf Cohomology

ASecurity

Čech cohomology for local-to-global consistency verification in code

  • 61 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added May 29, 2026
developmentgorubybashrefactoringapi

Works with

  • api
  • mcp

Security analysis

A100/100

Scanned May 29, 2026

npx -y skills add plurigrid/asi --skill sheaf-cohomology --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Sheaf Cohomology?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Sheaf Cohomology
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/plurigrid-sheaf-cohomology/badge)](https://www.skillsdirectory.com/skills/plurigrid-sheaf-cohomology)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: sheaf-cohomology
description: Čech cohomology for local-to-global consistency verification in code
version: 1.0.0
---


# Sheaf Cohomology Skill: Local-to-Global Verification

**Status**: ✅ Production Ready
**Trit**: -1 (MINUS - validator/constraint)
**Color**: #2626D8 (Blue)
**Principle**: Local consistency → Global correctness
**Frame**: Čech cohomology with descent conditions

---

## Overview

**Sheaf Cohomology** validates that locally consistent data/code patches glue correctly into globally consistent structures. Uses:

1. **Čech cohomology**: H^n(U, F) obstruction classes
2. **Nerve of coverage**: N(U) simplicial complex from open cover
3. **Descent conditions**: Cocycle conditions for morphisms
4. **tree-sitter integration**: AST-level local consistency

**Correct by construction**: If local patches satisfy cocycle conditions, global structure is guaranteed.

## Core Formula

```
H⁰(U, F) = ker(d⁰)           # Global sections (agree everywhere)
H¹(U, F) = ker(d¹)/im(d⁰)    # Obstruction to gluing
H²(U, F) = ker(d²)/im(d¹)    # Higher obstructions
```

For code verification:
```ruby
# Three patches (files/modules) are consistent iff:
# On U_ij ∩ U_jk ∩ U_ik: g_ij ∘ g_jk = g_ik  (cocycle condition)

cocycle_satisfied?(patch_i, patch_j, patch_k)
  == (compose(g_ij, g_jk) == g_ik)
```

## Why Sheaf Cohomology for Code?

1. **Module boundaries**: Each module is an "open set"
2. **Import/export**: Transition functions between patches
3. **Type consistency**: Cocycle = type compatibility
4. **Refactoring safety**: H¹ = 0 means safe global transform

## Gadgets

### 1. ČechCoverVerifier

Verify local consistency across code patches:

```ruby
verifier = SheafCohomology::CechCoverVerifier.new(
  coverage: [:module_a, :module_b, :module_c]
)
verifier.add_transition(:module_a, :module_b, transition_ab)
verifier.add_transition(:module_b, :module_c, transition_bc)
verifier.add_transition(:module_a, :module_c, transition_ac)

verifier.cocycle_satisfied?  # => true if g_ab ∘ g_bc = g_ac
verifier.h1_obstruction      # => 0 if globally consistent
```

### 2. NerveConstructor

Build simplicial complex from coverage:

```ruby
nerve = SheafCohomology::NerveConstructor.new(
  opens: file_modules,
  intersections: shared_interfaces
)
nerve.simplices(0)  # => vertices (modules)
nerve.simplices(1)  # => edges (shared interfaces)
nerve.simplices(2)  # => triangles (triple overlaps)
nerve.euler_characteristic  # => χ(N(U))
```

### 3. DescentVerifier

Check morphism descent conditions:

```ruby
descent = SheafCohomology::DescentVerifier.new
descent.add_local_section(:patch_a, section_a)
descent.add_local_section(:patch_b, section_b)
descent.verify_descent!  # => raises if descent fails
descent.global_section   # => glued global section
```

### 4. TreeSitterSheaf

Integration with tree-sitter for AST verification:

```ruby
sheaf = SheafCohomology::TreeSitterSheaf.new(
  language: :clojure,
  coverage: :function_boundaries
)
sheaf.parse_file("src/core.clj")
sheaf.local_consistency_check  # => per-function type consistency
sheaf.global_gluing_check      # => cross-function compatibility
sheaf.h1_obstructions          # => list of gluing failures
```

## Commands

```bash
# Verify sheaf consistency
just sheaf-check

# Check specific coverage
just sheaf-coverage src/

# Compute cohomology obstructions
just sheaf-h1

# Integration with tree-sitter
just sheaf-ast src/*.clj
```

## API

```ruby
require 'sheaf_cohomology'

# Create verifier
verifier = SheafCohomology::Verifier.new(
  trit: -1,
  coverage_strategy: :ast_boundaries
)

# Add patches from tree-sitter
verifier.add_patches_from_ast(parsed_files)

# Check consistency
result = verifier.verify!
result[:h0]  # Global sections (fully consistent)
result[:h1]  # Gluing obstructions
result[:h2]  # Higher obstructions
result[:gf3_conserved]  # GF(3) sum = 0 with triad
```

## Integration with GF(3) Triads

Forms valid triads with ERGODIC (0) and PLUS (+1) skills:

```
sheaf-cohomology (-1) ⊗ acsets (0) ⊗ gay-mcp (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ unworld (0) ⊗ rama-gay-clojure (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ glass-bead-game (0) ⊗ rubato-composer (+1) = 0 ✓
```

## Mathematical Foundation

### Čech Complex

```
C⁰ = ∏_i F(U_i)
C¹ = ∏_{i<j} F(U_i ∩ U_j)
C² = ∏_{i<j<k} F(U_i ∩ U_j ∩ U_k)
```

### Differential Maps

```
d⁰: C⁰ → C¹:  (d⁰s)_{ij} = s_j|_{U_ij} - s_i|_{U_ij}
d¹: C¹ → C²:  (d¹g)_{ijk} = g_jk - g_ik + g_ij
```

### Cocycle Condition

```
g ∈ Z¹(U, F) ⟺ d¹g = 0 ⟺ g_ij + g_jk = g_ik on triple overlaps
```

## Example Output

```
─── Sheaf Cohomology Verification ───
Coverage: 5 modules, 8 interfaces, 3 triple overlaps

Local Consistency:
  ✓ module_a ∩ module_b: types compatible
  ✓ module_b ∩ module_c: types compatible
  ✓ module_a ∩ module_c: types compatible

Čech Cohomology:
  H⁰ = 1 (connected components)
  H¹ = 0 (no gluing obstructions)
  H² = 0 (no higher obstructions)

Global Structure: ✓ CONSISTENT
GF(3) Trit: -1 (MINUS/Validator)
```

---

**Skill Name**: sheaf-cohomology
**Type**: Local-to-Global Verification
**Trit**: -1 (MINUS)
**Color**: #2626D8 (Blue)
**GF(3)**: Forms valid triads with ERGODIC + PLUS skills



## Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

### Graph Theory
- **networkx** [○] via bicomodule
  - Universal graph hub

### Bibliography References

- `category-theory`: 139 citations in bib.duckdb

## Cat# Integration

This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:

```
Trit: -1 (MINUS)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #FF6B6B
```

### GF(3) Naturality

The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```

This ensures compositional coherence in the Cat# equipment structure.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.