sheaf-cohomology
Čech cohomology for local-to-global consistency verification in code
When & Why to Use This Skill
The Sheaf Cohomology skill is an advanced code verification tool that applies mathematical Čech cohomology to ensure local code patches and modules are globally consistent. By analyzing AST-level data via tree-sitter integration, it identifies 'gluing obstructions' and structural mismatches, guaranteeing that independent code segments integrate perfectly into a coherent, error-free global system. It is particularly effective for high-assurance software development and complex architectural validation.
Use Cases
- Architectural Integrity Verification: Validating that independent code modules or microservices satisfy global consistency requirements and interface contracts through descent conditions.
- Refactoring Safety Analysis: Detecting structural obstructions (H¹ cohomology classes) to ensure that local code transformations do not break global system invariants.
- Cross-Module Consistency Checks: Ensuring type compatibility and logic synchronization across module boundaries where traditional static analysis might fail to see the 'global section'.
- Large-scale Code Integration: Verifying that multiple concurrent patches or feature branches glue together correctly without violating mathematical cocycle conditions.
| 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:
- Čech cohomology: H^n(U, F) obstruction classes
- Nerve of coverage: N(U) simplicial complex from open cover
- Descent conditions: Cocycle conditions for morphisms
- 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:
# 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?
- Module boundaries: Each module is an "open set"
- Import/export: Transition functions between patches
- Type consistency: Cocycle = type compatibility
- Refactoring safety: H¹ = 0 means safe global transform
Gadgets
1. ČechCoverVerifier
Verify local consistency across code patches:
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:
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:
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:
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
# 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
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.