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.
npx skills add khalilbenaz/claude-skills-collection --skill consensus-buildergit clone --depth 1 https://github.com/khalilbenaz/claude-skills-collectionWrote 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.
[](https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/consensus-builder)<a href="https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/consensus-builder"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/consensus-builder/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/consensus-builder"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/consensus-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.02899 |
| Opus 5 | $0.00039 | $0.01450 |
| Sonnet 5 | $0.00016 | $0.00580 |
| Haiku 4.5 | $0.00008 | $0.00290 |
Grade A, and why
consensus-builder 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Consensus Builder
Quand utiliser ce skill
| Critère | Utilise le consensus | N'utilise PAS le consensus |
|---|---|---|
| Nature de la question | Incertaine, subjective, multicritère | Factuelle, vérifiable, calculable |
| Conséquences d'erreur | Irréversibles ou coûteuses | Faibles, corrigeables facilement |
| Perspectives | Plusieurs angles utiles (risque, UX, technique) | Un seul expert suffit |
| Latence | Acceptable (>2s) | Critique (<500ms) |
| Budget tokens | Disponible (N × appels) | Contraint |
Règle rapide : si grep -r "answer" knowledge_base trouve la réponse, pas besoin de consensus. Si la décision dépend de valeurs ou de jugement, le consensus ajoute de la valeur.
Workflow en 10 étapes
1. Qualifier la décision
Avant de lancer quoi que ce soit, score la décision sur 3 axes (0–3 chacun) :
def consensus_necessity_score(decision: dict) -> int:
score = 0
if decision["is_reversible"] is False: score += 2
if decision["uncertainty"] == "high": score += 2
if decision["perspectives_needed"] > 1: score += 1
# score >= 3 → consensus justifié
# score < 3 → agent unique suffisant
return score
2. Définir la question et les options AVANT de lancer les agents
Format standard à passer à chaque agent :
CONSENSUS_PROMPT_TEMPLATE = """
Tu es un agent spécialisé en {role}.
Question : {question}
Options disponibles : {options}
Contexte : {context}
Réponds en JSON :
{{
"choice": "<une des options>",
"confidence": <float 0.0-1.0>,
"rationale": "<explication concise>",
"risks": ["<risque 1>", "<risque 2>"]
}}
"""
3. Choisir la méthode de vote
| Méthode | Usage | Quand | Seuil typique |
|---|---|---|---|
| Majority vote | Binaire simple | Décision oui/non | >50% |
| Supermajority | Décision risquée | Rollback, suppression de données | ≥66% |
| Weighted vote | Agents spécialisés | Agent expert > généraliste | Poids définis a priori |
| Confidence-weighted | Agents incertains | Analyse de sentiments, prévisions | Score agrégé |
| Borda count | N > 2 options | Choix d'architecture, priorisation | Premier rang |
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.
- 10d ago First seen · 275 lines · 79 tokens per session scan A 4b19bf3db8e5
consensus-builder is a skill published in the GitHub repository khalilbenaz/claude-skills-collection (22 stars, last pushed 16d ago), licensed MIT. It adds 79 tokens to every session and 2,899 once invoked, about $0.0004 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 2026-08-30.
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