Concilio Llm Prompt Legale

Concilio di LLM per valutazione risposta legale

Use this skill to screen and rank Italian legal AI answers across civil, criminal, administrative, and tax law. Treat the panel as quality-control only: it never substitutes review by an Italian lawyer, and any source used in a filing, client advice, or professional opinion must be verified by the professional.

Caso d'uso principale: risposta base vs prompt migliorato

Lo scopo primario è valutare la stessa domanda legale risposta da un LLM in due versioni: quella generata dal prompt base e quella generata dopo un miglioratore di prompt. Usa il comando dedicato prompt-eval, che assegna da solo ID neutri (A=base, B=migliorato) per evitare bias a favore della versione "migliorata", impone lo stesso quesito e aggiunge una checklist orientata al delta:

python3 concilio-llm-prompt-legale/scripts/legal_panel.py prompt-eval \
  --baseline "risposta-base.md" --improved "risposta-prompt-migliorato.md" \
  --preset civile --quesito ""

La skill resta generica: compare serve per confronto A/B/C di più IA e single per la valutazione di una singola risposta. Per casi tipici usa un preset tematico: civile, penale, tributario, amministrativo. Se il quesito non è nel documento né passato con --quesito, lo script avvisa (campo warnings): chiedilo all'utente invece di valutare senza domanda di riferimento.

Core Workflow

1. Extract and normalize the candidates with scripts/legal_panel.py.
2. Apply the route gate before any live/cloud route: if the user has not already chosen, ask whether to run only locally/offline or also online/live.
3. Choose three independent judges dynamically with doctor, then run a separate supervisor/meta-judge after normalization.
4. Run separate prompts per candidate and per judge; save raw outputs separately.
5. Normalize raw JSON, preserve malformed outputs, aggregate scores out of 39, prepare supervisor review, and generate report-finale.md with legal_panel.py report. Do not hand-write the final report from partial notes: the command adds candidate explanations, source links, and lawyer-facing next steps.
6. Keep panel_ranking separate from legal_final_assessment: without explicit human review, the final legal assessment remains non_determinato.
7. State clearly whether source verification was not_performed, partial, or verified, and whether source_gate is passed, passed_with_findings, failed, or not_performed.

Route And Privacy Gate

Use confidential as a risk label, not as an automatic route decision. Default confidential to true when material includes client, employee, mailbox, personal-data, company, or litigation facts, but do not silently choose local/offline or online/live. If the user has not already specified the route, ask whether they want only local/offline processing or also online/live model calls, naming the intended providers/tools. Do not install tools, authenticate accounts, upload documents, or spend live model calls unless the user has approved that route or the current request explicitly authorizes it.

Script

Prefer the bundled script for repeatable work. Use --preset civile|penale|tributario|amministrativo to load a generic checklist for that branch of Italian law:

python3 concilio-llm-prompt-legale/scripts/legal_panel.py doctor
python3 concilio-llm-prompt-legale/scripts/legal_panel.py extract "answer.docx" --preset civile
python3 concilio-llm-prompt-legale/scripts/legal_panel.py single "answer.docx" --ground-truth checklist.md
python3 concilio-llm-prompt-legale/scripts/legal_panel.py compare "A.md" "B.md" --preset penale
python3 concilio-llm-prompt-legale/scripts/legal_panel.py prepare-live "A.md" "B.md" --preset tributario --output-dir panel-results-raw --cases-output panel-input.json
python3 concilio-llm-prompt-legale/scripts/legal_panel.py normalize-live --cases panel-input.json --raw-dir panel-results-raw --output panel-results-normalized.json
python3 concilio-llm-prompt-legale/scripts/legal_panel.py prepare-supervisor --input panel-results-normalized.json --output-dir panel-results-supervisor
python3 concilio-llm-prompt-legale/scripts/legal_panel.py verify-sources --cases panel-input.json --output source-verification.json
python3 concilio-llm-prompt-legale/scripts/normattiva_fetch.py --sources source-verification.json --output-json normattiva-verification.json --output-md normattiva-verification.md --articles-dir normattiva-articles
python3 concilio-llm-prompt-legale/scripts/legal_panel.py report --input panel-results-normalized.json --candidate-map candidate-map.json --sources source-verification.json --sources normattiva-verification.json --output report-finale.md
python3 concilio-llm-prompt-legale/scripts/legal_panel.py mock

The script is local/offline unless you run the prompts with external CLIs yourself. It validates extraction, scoring, prompt preparation, aggregation, malformed raw preservation, and report generation.

For randomizzato A/B/C runs, pass --candidate-map only at the report stage, after live judging is complete. The report must be understandable to an Italian lawyer who is not familiar with LLM evaluation: start from the practical outcome, explain what remains unverified, and render source URLs as Markdown links instead of plain text.

verify-sources only classifies/routs citations. normattiva_fetch.py performs the official Normattiva web fetch for Italian statutes and stores HTML/TXT article files. Run it only after the user has approved the source-verification route. It verifies existence/text/vigency signals, not whether the statute legally supports the candidate's argument.

doctor also checks whether normattiva, buddalaw, gestiolex, and searxng skills/MCP routes are present. If normattiva is missing, ask the user before installing it from avvocati-e-mac/skill-legali with path normattiva/normattiva. Do not silently configure BuddaLaw, GestioLex Corpus, SearXNG, Perplexity, or any paid/cloud route.

Reference Routing

• Read references/rubric.md before judging or editing scoring.
• Read references/model-routing.md before choosing Claude, Codex, Perplexity, NotebookLM, or pwm council.
• Read references/live-judging.md before preparing or running live judge calls.
• Read references/reporting.md before writing user-facing reports.
• Read references/source-workflow.md before verifying citations: verify-sources routes citations, normattiva_fetch.py fetches Italian statutes from Normattiva when approved, and case-law/provvedimenti go to BuddaLaw/GestioLex or the documented fallback. For broad live searches, delegate to a subagent so the main thread receives only verdict records.
• Read references/case-schema.md when producing or consuming case/result JSON.

Live Judges

Default: three independent judges + a separate stronger supervisor. Anonymize candidates with neutral IDs (A/B/C) so no judge is biased toward a "base" or "improved" label. See references/model-routing.md and references/live-judging.md for the exact routes, fallbacks, and supervisor flow before running any live call.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: avvocati-e-mac
• Source: avvocati-e-mac/skill-legali
• License: MIT

Install and usage instructions live in the source repository linked above.