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Collective Adjudication · yogsoth-ai | DecimalAI

ai mlby yogsoth-ai

Collective Adjudication

yogsoth-ai/collective-adjudication

Source yogsoth-ai/de-anthropocentric-research-engine ↗License Apache-2.0

Strategy for multi-judge ranking aggregation using Condorcet, Schulze, Borda, Kemeny-Young, and Copeland methods to produce consensus rankings from diverse perspectives.

SkillScore96Maintained

Automatic

AI Engineer pack

Last verified 8/22/2026

What it changes

Passed 21 of 22 test cases with the skill, and 11 of 22 without it.

Without skill52%

With skill96%

Checks it passed that the model alone missed

Specifies primary method as schulze
Identifies Schulze as the primary method
Identifies Copeland as a secondary cross-validation method

and 5 more in the full report

10 fixed12 passed either way1 still failing0 broke

Pass-rate lift: +43 pp
Tokens: +14%
Agent turns: 0%
Response time: -24%

Model gemini-3.6-flashMeasured 8/22/2026v122 of 23 cases passed with skill · 22 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-collective-adjudication/SKILL.md https://app.decimal.ai/s/yogsoth-ai-collective-adjudication/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add yogsoth-ai-collective-adjudication, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/yogsoth-ai-collective-adjudication/ and pins it in .decimal/skills.lock

decimalai skills add yogsoth-ai-collective-adjudication

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-collective-adjudication/SKILL.md https://app.decimal.ai/s/yogsoth-ai-collective-adjudication/SKILL.md

Raw file: /s/yogsoth-ai-collective-adjudication/SKILL.md ↗ · machine-readable summary at /s/yogsoth-ai-collective-adjudication.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

What step in the execution sequence comes immediately after detecting cycles and localizing inconsistencies, but before producing the final output document?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies cross-validating with secondary methods before final output production	Missed	Passed

case-21 · gemini-3.6-flash · 8/22/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md91 linessingle file

Collective Adjudication

Purpose

Aggregate rankings from multiple independent judges into a single consensus ranking. Handles disagreement detection, voting paradoxes, and produces transparent aggregation with disagreement maps.

When to use

Multiple judges/evaluators available (≥3)
LLM-as-judge with multiple prompting perspectives
Committee decision-making requiring formal aggregation
Need to identify and characterize disagreement patterns

Budget

Resource	Allocation
Judges/Perspectives	≥3 independent evaluators
Comparisons per judge	Complete or near-complete per judge
Aggregation methods	≥2 methods for robustness check
Disagreement threshold	Flag pairs where judges disagree >40%

State Ledger

candidates: []
perspectives: []        # judge identities/prompts
ballots: []             # [{judge, ranking: [...]}]
aggregation_results: {} # method → consensus_ranking
disagreement_map: {}    # pair → {agreement_rate, split}
cycles: []              # Condorcet cycles if any
method: ""              # schulze | borda | kemeny-young | copeland

Available Tactics

multi-judge-aggregation — collect ballots, aggregate, identify disagreement
consistency-audit-loop — detect cycles in aggregated preferences

Available SOPs

Track record

Benchmark

21 / 22

test cases passed, vs 11 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

yogsoth-ai / de-anthropocentric-research-engine

skills/collective-adjudication/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

yogsoth-ai/multi-judge-aggregationCollect independent rankings from multiple judges, aggregate using social choice methods, and identify disagreement hotspots.Close match+48 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Collective Adjudication

Purpose

When to use

Budget

State Ledger

Available Tactics

Available SOPs

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills