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 smixs · Claude Skill · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skill-conductor safe to install? View the security audit →
Skill Conductor Architecture-first skill lifecycle: design → build → test → evaluate → package. Most skill tools jump straight to "write SKILL.md." Conductor makes you choose the architecture first - because rewriting a wrong pattern costs more than writing it right. v3: SOP practices + smoke tests — 80 years of Standard Operating Procedure wisdom applied to skill authoring. Inline checklists at risk-points, pre-flight checks, programmatic validation, exception handling patterns. Use for procedural skills (client intake, onboarding, reporting, escalation) — fast safety net for skill-conductor scripts themselves. Verifies critical scripts execute on known-good skills, fail on known-bad, produce expected output shapes. Run: Updated eval agents (grader, comparator, analyzer) with refined rubrics Improved , , and schema validation Updated and with tighter definitions v2: Anthropic's eval engine meets architecture-first design Anthropic updated their skill-creator with serious eval infrastructure. We took the best of it: From Anthropic's skill-creator (new): 3 specialized agents: grader (assertion checking + claim
| Stars | 160 |
| Forks | 17 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.2889803884728/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-03 |
| Created | 2026-03-03 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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skill-conductor is Architecture-first skill lifecycle for AI agents. BinEval binary scoring with threshold-blind, cross-family-calibrated judges, gated self-update loop, pressure testing, 10 authoring principles grounde. It is categorized as a Claude Skill with 160 GitHub stars.
skill-conductor is primarily written in Python. It covers topics such as agent-skills, ai-agents, anthropic.
You can find installation instructions and usage details in the skill-conductor GitHub repository at github.com/smixs/skill-conductor. The project has 160 stars and 17 forks, indicating an active community.
skill-conductor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skill-conductor on Agent Skills Hub include awesome-claude-skills, claude-skills, claudepro-directory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: