compositional-acset-comparison

compositional-acset-comparison is a skill for Claude Code from plurigrid/asi. It costs 33 tokens per session (4,766 once invoked), scanned A, original, MIT.

A Julia tool for comparing DuckDB and LanceDB data structures through algebraic databases, which represent data and its relationships with formal schemas. It also analyzes coverage, colorability, translations between structures, and information that may be lost during conversion.

In plain words
What is it for?
Use it to compare DuckDB and LanceDB schemas, inspect persistent-homology coverage, check three-colorability, analyze translations between schemas, detect irreversible mappings, and produce visual comparison tables.
Why use it?
It makes differences between two storage schemas visible, including whether a conversion is lossy. Side-by-side comparisons and geometric analysis help explain structural mismatches that ordinary table diffs may miss.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to compare DuckDB and LanceDB schemas, inspect persistent-homology coverage, check three-colorability, analyze translations between schemas, detect irreversible mappings, and produce visual comparison tables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/plurigrid/asi/compositional-acset-comparison
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 compositional-acset-comparison
Clone the repo
git clone --depth 1 https://github.com/plurigrid/asi

Made for: Claude Code.

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 compositional-acset-comparison

README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,766 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 $0.00033 $0.04766
Opus 5 $0.00016 $0.02383
Sonnet 5 $0.00007 $0.00953
Haiku 4.5 $0.00003 $0.00477

Measured 6d ago against content hash 99ac784ea53f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

compositional-acset-comparison 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 6d 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/.claude/skills/compositional-acset-comparison/SKILL.md · 493 lines

How it starts

The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Compositional ACSet Comparison Skill

"The algorithm IS the data, the data IS the algorithm" — Homoiconic Principle

Trit: 0 (ERGODIC - Coordinator) Color: #26D826 (Green) Domain: Compositional algorithm/data analysis via algebraic databases


SYNOPSIS (Man Page)

compositional-acset-comparison - compare storage schemas via algebraic databases

USAGE:
    include("DuckDBACSet.jl")
    include("LanceDBACSet.jl")
    compare_schemas(SchDuckDB, SchLanceDB)

TOOLS:
    ComparisonUtils.jl     - 12-dimension golden spiral comparison
    GhristCoverage.jl      - Persistent homology coverage analysis
    ColoringFunctor.jl     - GF(3) coloring and 3-colorability
    GeometricMorphism.jl   - Presheaf topos translation analysis
    IrreversibleMorphisms.jl - Detect lossy morphisms
    SideBySideComparison.jl  - Visual diff tables

SEEDS:
    1000000 - Core schemas and comparison
    2000000 - Irreversibility analysis
    3000000 - Side-by-side streams
    4000000 - Ghrist/Coloring/Morphism analysis

SEE ALSO:
    acsets(7), gay-mcp(7), three-match(7), temporal-coalgebra(7)

INFO (Quick Reference)

Key Value
Type ERGODIC (0) - Coordinator
Color #26D826 (Green)
Seed 1000000 (core), 4000000 (analysis)
Golden Angle 137.508°
Dimensions 12 comparison axes
Schemas DuckDB (10 Ob, 11 Hom), LanceDB (14 Ob, 18 Hom)
Irreversible 0 (DuckDB), 2 (LanceDB)
Coverage Table ↔ Table ✓, Column ↔ Column ✓
Dead Zones Segment, Manifest, VectorIndex

Quick Commands

# Full 12-dimension comparison
full_comparison()

# Coverage analysis (Ghrist)
run_coverage_analysis()

# Coloring functor with GF(3) verification
run_coloring_comparison()

# Geometric morphism (presheaf topos translation)
run_geometric_morphism_analysis()

# Reversibility statistics
reversibility_summary()

Homoiconic Insight

In self-hosted Lisps, the boundary between data structures and algorithms dissolves:

  • Code is data, data is code (homoiconicity)
  • Evaluation time is phase-scoped (RED/BLUE/GREEN gadgets)
  • Entanglement avoided by leaving phases open until explicitly closed
  • Compositional structure preserved across algorithm ↔ data boundary

Read the full file on GitHub · 493 lines

Files

What ships with it

8 files 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.

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. 6d ago First seen · 493 lines · 33 tokens per session scan A 99ac784ea53f

Subscribe to this mod's changes

compositional-acset-comparison is a skill published in the GitHub repository plurigrid/asi (62 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 4,766 once invoked, about $0.0002 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 2026-09-03.

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