agentsclimarketplace

Research and vote

Skill nexus-substrate/nexus-agents/skills/research-and-vote

Research a topic using multiple sources and conduct multi-agent voting. Use when making architectural decisions, choosing dependencies, or designing APIs. Triggers on "research", "decide", "vote on", "consensus".From its SKILL.md

Install
npx -y skills add nexus-substrate/nexus-agents --skill research-and-vote

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 23 stars23 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.6 KB, as published. Nobody here has run it

Research and Vote Skill

<!-- CANONICAL SOURCES: - docs/architecture/CONSENSUS_PROTOCOLS.md - docs/research/CONTRIBUTING.md - CLAUDE.md Consensus Voting Protocol - skills/references/orchestration-patterns.md (consensus, fan-out, retry policies) -->

Full documentation:

Process

Phase 1: Research

  1. Check research registry first: grep -ri "keyword" docs/research/
  2. Gather primary sources (official docs, specs, RFCs)
  3. Document findings with source links

Phase 2: Proposal

Create proposal with:

  • Problem statement
  • Proposed solution
  • Alternatives considered
  • Trade-offs

Phase 3: Voting

Voting Agents: Architect, Security, DevEx, AI/ML, PM

Thresholds:

Decision TypeThreshold
Reversible changesMajority
ArchitectureSupermajority
Security-criticalUnanimous

See CONSENSUS_PROTOCOLS.md for protocol selection matrix.

Phase 4: Documentation

Record decision in GitHub issue with voting record.

Output Format

# Decision Record: [Topic]

## Status: [Approved/Rejected]

## Voting Record

| Agent | Vote | Reasoning |
| ----- | ---- | --------- |

Anti-rationalization — Research and vote

ExcuseCounter
"I already know the answer"Then write up the alternatives anyway. The vote isn't to discover the answer; it's to surface what you missed.
"Skip the research, just vote"A vote without research surfaces opinion, not informed judgment. Cite primary sources.
"Simulated votes are fine for this"Per CLAUDE.md and memory: simulated votes are random. Never use for real decisions.
"Unanimous would be too slow"Unanimous applies to security-critical and breaking-API. Match the threshold to the reversibility.
"We can revisit if it's wrong"Some decisions are expensive to reverse (data shape, public API, dep choice). Apply higher threshold accordingly.

Red flags

  • Proposal lists no alternatives or only "do X / do nothing"
  • Voter reasoning is one sentence ("approve") with no specific cite
  • simulateVotes: true for anything other than unit tests
  • Vote happens before research is done
  • Decision recorded but no GitHub issue or commit links the vote

Verification checklist

  • Research cites primary sources (official docs, RFCs, papers — not blog posts only)
  • At least 2 alternatives considered with why-rejected reasoning
  • consensus_vote ran with real CLIs (simulateVotes: false)
  • Threshold matches decision type (majority / supermajority / unanimous)
  • Decision Record posted as a GitHub issue or comment with voter cites
  • Voter reasoning includes confidence and specific cites — no rubber-stamps

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.