Asi continuous-inverter
Real-time monitoring and automated remediation for proof system health.
install
source · Clone the upstream repo
git clone https://github.com/plurigrid/asi
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/continuous-inverter" ~/.claude/skills/plurigrid-asi-continuous-inverter-efbb57 && rm -rf "$T"
manifest:
skills/continuous-inverter/SKILL.mdsource content
Continuous Inverter
Category: Real-Time Monitoring + CI/CD Type: Automated Measurement + Remediation Language: Julia Status: Production Ready Version: 1.0.0 Date: December 22, 2025
Overview
Real-time monitoring and automated remediation for proof system health. Runs on every commit to measure spectral gap across all 6 theorem provers in parallel, generates GitHub Actions CI/CD workflows, and provides automated suggestions when system health degrades.
Key Data Structures
struct CommitMetadata commit_hash::String timestamp::Float64 author::String files_changed::Int gap_before::Dict{String, Float64} gap_after::Dict{String, Float64} end struct CommitAnalysis commits::Vector{CommitMetadata} trend::String violations::Int recommendation::String end
Key Functions
: Measure gap before/afteranalyze_commit(commit_hash)
: Parallel analysis across 6 proverscheck_all_provers(files)
: Automated advicegenerate_remediation_suggestions(gap_before, gap_after)
: GitHub Actions workflow YAMLgenerate_ci_cd_template()
: Trend visualizationgenerate_monitoring_dashboard()
Supported Provers
- Dafny
- Lean 4
- Stellogen
- Coq
- Agda
- Idris
Remediation Strategy
Alternating Möbius Weights for Resonance Patterns
When gap declines:
- Identify which prover degraded
- Run möbius_filter to find tangled paths
- Apply safe_rewriting recommendations
- Re-measure gap across all provers
- Deploy changes via CI/CD
Usage
using ContinuousInversion # On every commit: gap_after = compute_prover_gap(proofs) # If gap < 0.25: suggestions = suggest_remediation(prover, gap_before, gap_after) # Generate CI/CD workflow: yaml = generate_ci_cd_template()
Integration Points
- GitHub Actions continuous deployment
- Per-prover parallel checking
- PR automation with gap status comments
- Artifact upload for compliance tracking
Performance
- Commit analysis: < 1 second
- Per-prover check: Parallel across 6 provers
- Dashboard generation: < 2 seconds
- Total CI/CD latency: < 5 seconds
Deployment
# Save workflow to repo julia continuous_inversion.jl > .github/workflows/spectral-health-check.yml # Push to trigger git add .github/workflows/spectral-health-check.yml git commit -m "Add spectral health check" git push
References
- Continuous integration best practices
- Automated remediation workflows
- Möbius inversion for pattern detection