ECC
ECC 未来与实践项目：构建可审计的跨客户端代理 Harness
围绕能力清单、事件追踪、记忆边界、适配器一致性和可回滚发布，规划 ECC 实践项目。
你将学会
- Design a cross-client capability manifest
- Build a redacted conformance trace
- Plan reversible harness adoption
开始前需要
- Basic Git and command-line usage
- Comfort reading a project README
You can explain the project, run its documented first step, and decide what to verify before adopting it.
先看结论
- Capability manifests can make cross-client parity explicit and testable.
- A conformance lab should capture redacted traces, memory, hooks, approvals, and egress.
- Adopt in trace-only and advisory modes before enforcement, with a reversible fallback.
The next layer is an explicit contract
ECC 的下一层是把跨客户端行为变成可测量契约：用版本化能力清单声明命令、Hooks、MCP、Memory、审批和脱敏能力，再通过一致性实验室对比 Claude Code、Codex、Cursor 等宿主的脱敏轨迹，并按 trace-only、advisory、enforced 分阶段上线。
The manifest should be versioned with generated files and tested like an API. A host that lacks a capability can remain useful when the gap is visible and the fallback is safe.
Capstone project: the harness conformance lab
Build a conformance lab that runs one harmless repository task through ECC adapters. Capture the plan, tool calls, hook events, approval decisions, MCP endpoints, generated files, memory writes, tests, and final diff in a redacted trace.
Compare traces across Claude Code, Codex, Cursor, OpenCode, and another supported host. The lab should flag duplicate hooks, missing approvals, unexpected egress, context growth, and memory leakage before a team upgrades its default harness.
Research questions
Explore event schemas that can be shared across hosts, policy-as-code for destructive commands, scoped memory with expiry, and signed skill manifests. Measure accepted-change quality, review time, token overhead, hook latency, and blocked-command explainability.
Keep model choice separate from harness behavior. A better model can hide a policy regression, so replay the same prompts and fixtures with the same approval boundary.
A reversible adoption path
Start with trace-only mode, then add advisory checks, then enforce approvals and redaction for a small team. Keep a manual checklist and native-client fallback available, and make uninstall remove every generated surface.
The long-term opportunity is an open conformance suite that lets teams choose an agent harness based on evidence, safety, and operating cost rather than a feature-count checklist.
如何选择
| 比较维度 | 方案 A | 方案 B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
实施步骤
- 1
Define a manifest for commands, hooks, MCP, memory, approvals, and redaction.
- 2
Replay one harmless task across supported clients and capture redacted traces.
- 3
Flag parity, duplicate-hook, egress, context, and memory anomalies.
- 4
Roll out trace-only → advisory → enforced modes with clean uninstall.
可复制示例
{
"client": "<host>",
"ecc_revision": "<commit>",
"capabilities": { "hooks": [], "mcp": [], "memory_scope": "project", "approvals": [] },
"trace_sha256": "<hash>",
"parity_status": "review"
}常见问题
Is the conformance lab part of ECC today?
It is a proposed capstone project. The current repository provides the catalog and adapters; the lab would add measurable cross-client evidence.
How can a team adopt it safely?
Begin in trace-only mode, compare redacted traces, then move to advisory and enforced approvals only after parity and rollback tests pass.
资料来源
- ECC README (captured 2026-08-31)来源核查 2026-08-31
- ECC repository来源核查 2026-08-31