Agent Skill Stack v0.1.0

Agent Skill Stack v0.1.0

The first public release turns an end goal into a minimal, audited, project-specific stack of AI Agent Skills.

Highlights

• dynamic workflow derivation instead of a fixed domain template;
• local Skill indexing and project-first routing profiles;
• direct, operational, supporting-outcome, and connector discovery lenses;
• 25% community-evidence weight after hard fit and safety gates;
• conflict checks and consent-controlled staged installation;
• shareable SVG Skill Stack recommendation cards;
• no prompt-history, routing-feedback, or usage collection;
• English and Simplified Chinese documentation.

Install

npx skills add neilchen2000-pixel/agent-skill-stack --skill agent-skill-stack -g -y

GitHub Copilot / GitHub CLI 2.90.0+:

gh skill install neilchen2000-pixel/agent-skill-stack agent-skill-stack@v0.1.0

Real examples included in this release

1. Crypto research and backtesting: combines read-only market data, backtesting discipline, risk management, and position sizing while keeping exchange credentials and live orders out.
2. Cited research decision brief: separates source extraction, spreadsheet validation, document drafting, and citation verification while preserving evidence provenance.
3. Support knowledge-base improvement: adds privacy redaction as a hard gate, drafts reviewed help-center updates, and keeps every external publish behind human approval.

Each example includes its derived capability flow, candidate decisions, safety boundary, and a shareable recommendation card.

Verification

• Agent Skills structure validation: passed
• Python compilation: passed
• Safe trials: 5/5 passed
• Secret and private-path scan: no matches
• Symlinks: none
• Bundled runtime dependencies: Python standard library only

Read the complete public security audit before installation.