Agent skill

Topology Proof Validation

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

Use this quip-miner sub-skill for D-Wave topology files, solver ranges, topology hash/proof data, winning-solution validation, dumped BQMs, and topology troubleshooting.

AGPL-3.0Auto-check passedDevOps & Cloud

Install Topology Proof Validation

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill topology-proof-validation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill topology-proof-validation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/quip-miner/sub-skills/topology-proof-validation .claude/skills/topology-proof-validation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
topology-proof-validation
GitHub stars
330
Token cost
~681 tokens
SKILL.md length
241 words
Files
7 (incl. scripts, references)
Skills in repo
159
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Use this quip-miner sub-skill for D-Wave topology files, solver ranges, topology hash/proof data, winning-solution validation, dumped BQMs, and topology troubleshooting.

  • DevOps & Cloud work in your project
  • SKILL.md covers Route By Task, Common Commands, Key Rules and Boundaries
  • Runs Python scripts from its folder; calls python

What it does

Topology Proof Validation is an agent skill from VectorSpaceLab/AREX-Skill. Use this quip-miner sub-skill for D-Wave topology files, solver ranges, topology hash/proof data, winning-solution validation, dumped BQMs, and topology troubleshooting.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/dwave-solver-ranges.md`, `references/topology-and-proof-data.md` and `references/troubleshooting.md`).

It sits in DevOps & Cloud. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is AGPL-3.0.

When your agent uses it

  • DevOps & Cloud work in your project

Example prompts

  • “/topology-proof-validation”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Topology Proof Validation loads about 681 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 241 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~681
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its AGPL-3.0 licence (© VectorSpaceLab). 241 words, ~681 tokens.

Download SKILL.mdSave it as .claude/skills/topology-proof-validation/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
topology-proof-validation
description
Use this quip-miner sub-skill for D-Wave topology files, solver ranges, topology hash/proof data, winning-solution validation, dumped BQMs, and topology troubleshooting.
disable-model-invocation
true
metadata.disco-role
operating
license
AGPL 3.0

Topology and Proof Validation

Use this sub-skill when the user needs to inspect QuIP topology files, validate topologies against D-Wave hardware, interpret solver h/J ranges, download/revalidate on-chain wins, dump BQMs, or diagnose topology/proof mismatches.

Route By Task

  • Topology files and proof artifacts: Read references/topology-and-proof-data.md for dwave_topologies, default/production topology targets, winning-solution archive commands, BQM dump shape, and energy/difficulty semantics.
  • D-Wave solver ranges: Read references/dwave-solver-ranges.md for h/J/extended-J/per-qubit coupling ranges and current QPoW headroom.
  • Failures: Read references/troubleshooting.md for missing topology files, invalid subgraphs, topology hash mismatches, solver range overshoot, and live QPU safety.
  • Subgraph check: Use scripts/validate_topology_subgraph.py to compare a candidate topology JSON/GZip file against a reference topology file.

Common Commands

bash
python scripts/validate_topology_subgraph.py --reference dwave_topologies/topologies/advantage2_system1.json.gz --candidate path/to/topology.json.gz
python scripts/download_and_validate_wins.py --url wss://qpu-1.nodes.quip.network/rpc --max 50 --dump-bqm --out quip_wins
python scripts/dump_solver_ranges.py --stdout-only

The latter two bundled helpers may require network, chain access, or D-Wave credentials. Provide commands; do not run them without approval.

Key Rules

  • submit_proof stores a compact seed/proof, not the full BQM. --dump-bqm reconstructs Ising models from nonce + topology snapshot.
  • Current QPoW emits ternary h in {-1,0,+1} and binary J in {-1,+1}, inside standard D-Wave ranges.
  • extended_j_range, per-qubit coupling guards, anneal schedules, reverse anneal, and normalization helpers are headroom/not currently used by QPoW.
  • Live miners bind to chain-registered topology; topology validation tools are for analysis, proof replay, and maintaining topology files.
  • Do not run QPU benchmarks in the background; live QPU actions require credentials, network, cost, and explicit operator approval.

Boundaries

  • Route live backend commands and QPU budgets to ../mining-backends/SKILL.md.
  • Route attempt archive REST queries to ../telemetry-attempt-archive/SKILL.md.
  • Route source-level tests/release checks to ../maintainer-testing-release/SKILL.md.

© VectorSpaceLab, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/quip-miner/sub-skills/topology-proof-validation of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/dwave-solver-ranges.md
  • references/topology-and-proof-data.md
  • references/troubleshooting.md
  • scripts/download_and_validate_wins.py
  • scripts/dump_solver_ranges.py
  • scripts/validate_topology_subgraph.py

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Topology Proof Validation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT

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Categories

Questions about Topology Proof Validation

What does Topology Proof Validation do?

Use this quip-miner sub-skill for D-Wave topology files, solver ranges, topology hash/proof data, winning-solution validation, dumped BQMs, and topology troubleshooting. Topology Proof Validation is an agent skill from VectorSpaceLab/AREX-Skill. Use this quip-miner sub-skill for D-Wave topology files, solver ranges, topology hash/proof data, winning-solution validation, dumped BQMs, and topology troubleshooting.

When should I use Topology Proof Validation?

Topology Proof Validation fits situations like: devOps & Cloud work in your project.

How do I install Topology Proof Validation in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill topology-proof-validation -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/quip-miner/sub-skills/topology-proof-validation in VectorSpaceLab/AREX-Skill) into .claude/skills/topology-proof-validation in your project. Claude Code loads it when a task matches its description.

How do I install Topology Proof Validation in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill topology-proof-validation -a codex`. Or copy the skill folder (skills/repositories/repo-skills/quip-miner/sub-skills/topology-proof-validation in VectorSpaceLab/AREX-Skill) into .agents/skills/topology-proof-validation in your project. Codex loads it when a task matches its description.

Can I use Topology Proof Validation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill topology-proof-validation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/topology-proof-validation, .gemini/skills/topology-proof-validation, .github/skills/topology-proof-validation and .opencode/skills/topology-proof-validation in your project.

What does Topology Proof Validation need to run?

Going by SKILL.md and its folder, Topology Proof Validation needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Topology Proof Validation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Topology Proof Validation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Topology Proof Validation use?

Topology Proof Validation is published under the AGPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Topology Proof Validation use?

About 681 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Topology Proof Validation?

Skills that share tags, products or a category with Topology Proof Validation: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 36k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Topology Proof Validation?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.

Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.