opencouncil-contract-inspector — security grade SAFE, quality 58/100

Security audit verdict: SAFE · quality 58/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by vikashjeyaraman · Claude Skill · ★ 122

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is opencouncil-contract-inspector safe to install? View the security audit →

About opencouncil-contract-inspector

🏛️ VeritasBoard — Multi-Agent Deliberative Quality Engine Where artificial intelligence meets the rigor of a corporate boardroom, producing decisions that withstand the scrutiny of ten simulated experts and ten veteran reviewers. 🌟 Overview VeritasBoard is an AI orchestration framework that reimagines quality control through simulated institutional wisdom. Rather than a single model generating output, VeritasBoard convenes two distinct chambers of artificial agents: a Drafting Council of ten specialist employees who produce preliminary work, and an Oversight Board of ten industry-veteran reviewers who challenge, refine, and validate that work. The user sees only the final, reconciled verdict — a distillation of twenty distinct perspectives, each engineered to resist sycophancy and groupthink. This repository houses the core architecture, configuration templates, and integration modules that enable any language model to participate in structured, multi-agent deliberation. VeritasBoard is not merely a wrapper; it is a cognitive constitution — a set of rules that governs how artificial minds debate, dissent, and converge. 🧠 The Anti-Sycophancy Imperat

agent-orchestrationai-agentsai-hallucinationai-qualityanthropicanti-sycophancyclaudeclaude-codeclaude-opusclaude-skill

Quick Facts

Stars122
Forks1
LanguageHTML
CategoryClaude Skill
Quality Score58.334446604566/100
Last Updated2026-10-03
Created2026-06-28
Platformsclaude-code
Est. Tokens~18k

Compatible Skills

These tools work well together with opencouncil-contract-inspector for enhanced workflows:

  • inbox-watcher-cli — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • fabric-router-core — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • mythos-agent-pipe — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • opus-prompt-architect — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • codified-prompt-rule-engine — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)

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Frequently Asked Questions

What is opencouncil-contract-inspector?

opencouncil-contract-inspector is Proven 2026 Multi-Agent AI Review System – Verdict-Driven Quality Control. It is categorized as a Claude Skill with 122 GitHub stars.

What programming language is opencouncil-contract-inspector written in?

opencouncil-contract-inspector is primarily written in HTML. It covers topics such as agent-orchestration, ai-agents, ai-hallucination.

How do I install or use opencouncil-contract-inspector?

You can find installation instructions and usage details in the opencouncil-contract-inspector GitHub repository at github.com/vikashjeyaraman/opencouncil-contract-inspector. The project has 122 stars and 1 forks, indicating an active community.

What are the best alternatives to opencouncil-contract-inspector?

The top alternatives to opencouncil-contract-inspector on Agent Skills Hub include agent-skills, skill-conductor, mythos-agent-pipe. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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