用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/lefant/agent-skills --skill zfc命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Rewrite prose (docs, READMEs, PR descriptions, error messages, release notes, comments, tool descriptions, system prompts — never code) into ASD-STE100 Simplified Technical English to remove "AI slop". Use when asked to make writing not sound like AI, make docs clear or plain, enforce a controlled writing style, review text for STE violations, or write technical documentation that reads human. Two modes — strict (procedures/safety) and STE-flavored (general prose).
Access GitHub repositories programmatically using the exe.dev GitHub integration, gh CLI, or REST API. Use when interacting with GitHub repositories, issues, pull requests, workflows, discussions, or actions. On exe.dev VMs, prefer the tokenless GitHub integration before falling back to local gh authentication or GH_TOKEN.
Use when browser automation needs a human checkpoint: the user wants to demonstrate a workflow once, watch and verify an agent-driven browser result before proceeding, log in or complete MFA/credential-sensitive steps manually, connect through VNC, or use agent-browser with human-in-the-loop browser control. This skill sets up and operates the bundled Browser Debug Hub runtime with safe loopback VNC/CDP defaults.
基于 SOC 职业分类
| name | zfc |
| description | Zero Framework Cognition Principles |
Core Architecture Principle: This application is pure orchestration that delegates ALL reasoning to external AI. We build a “thin, safe, deterministic shell” around AI reasoning with strong guardrails and observability.
IO and Plumbing • Read/write files, list directories, parse JSON, serialize/deserialize • Persist to stores, watch events, index documents
Structural Safety Checks • Schema validation, required fields verification • Path traversal prevention, timeout enforcement, cancellation handling
Policy Enforcement • Budget caps, rate limits, confidence thresholds • “Don’t run without approval” gates
Mechanical Transforms • Parameter substitution (e.g., ${param} replacement) • Compilation • Formatting and rendering AI-provided data
State Management • Lifecycle tracking, progress monitoring • Mission journaling, escalation policy execution
Typed Error Handling • Use SDK-provided error classes (instanceof checks) • Avoid message parsing
Local Intelligence/Reasoning
Ranking/Scoring/Selection • Any algorithm that chooses among alternatives based on heuristics or weights
Plan/Composition/Scheduling • Decisions about dependencies, ordering, parallelization, retry policies
Semantic Analysis • Inferring complexity, scope, file dependencies • Determining “what should be done next”
Heuristic Classification • Keyword-based routing • Fallback decision trees • Domain-specific rules
Quality Judgment • Opinionated validation beyond structural safety • Recommendations like “test-first recommended”
The Correct Flow
Gather Raw Context (IO only) • User intent, project files, constraints, mission state
Call AI for Decisions • Classification, selection, composition • Ordering, validation, next steps
Validate Structure • Schema conformance • Safety checks • Policy enforcement
Execute Mechanically • Run AI’s decisions without modification
