Agentic Platform — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Agentic Platform (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Expert skill files that make agents measurably better at specific tasks.
An MCP server that provides curated context packages (skill files) with auditable provenance. Each skill is a structured knowledge document that, when loaded into an agent's context, improves performance in a specific domain.
Covers governance invariants, the Coupled Authority Phenomenon, forbidden failure modes, and decision architecture patterns.
architecture for AI agent platforms. Market projections, cost benchmarks, and pricing anti-patterns.
append-only decision logs. 9 system invariants, 14 forbidden failure modes, implementation patterns, and embodiment tests.
register() to get a free API key (10 calls/day)list_skills(api_key) to see the catalogget_skill(skill_name, api_key) to retrieve a skillhttps://platform.crestsystems.ai/mcp{
"mcpServers": {
"agentic-platform": {
"url": "https://platform.crestsystems.ai/mcp"
}
}
}Every skill file has traceable origin. Content is derived from published research frameworks, curated source collections, and validated methodology. No generic prompts. No unattributed content.
Built by Andy Salvo.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.