证据快照复核于 2026-09-05GitHub 数据核对日期: 2026-08-21
来源已审查独立 Skill自动化与智能体agentic-development Profilemcp-enabled-runtime Profile

evolve

启动或监控演化式开发循环,迭代改进项目本体与验收标准。

快速了解

它能做什么

启动或监控演化式开发循环,迭代改进项目本体与验收标准。

本站提供的是中文说明,不代表该项目或 Plugin 自身提供中文界面;语言支持请以上游文档为准。

能力
自动化与智能体智能体工作流自动化编码

选择前先看

Ouroboros Evolve 是一个可复用技能,用于启动、查看和回退迭代开发谱系。它先通过访谈补足上下文并生成种子,再逐代执行优化、执行、评估和闸门判断。该技能会区分已验证的收敛与仅本体稳定,并冻结已通过节点,把后续工作集中在失败或回归节点上。

适合谁

适合已配置支持 MCP 的 Ouroboros 环境、希望通过重复评估逐步完善复杂实现的开发者。

常见任务

  • 为新的开发需求启动演化循环。
  • 查看谱系的代数和收敛进度。
  • 先进行不执行代码的快速本体探索。
  • 回退到某一代快照后继续演化。

权限与数据

会使用 Ouroboros MCP 工具,并可能通过执行与评估循环处理开发工作。

权限
  • 发现和调用 Ouroboros MCP 工具的权限。
  • 在文档所述基准对照场景中访问干净的 Git 项目目录或工作树。
数据处理
  • 该技能会在 Ouroboros 流程中传递用户的开发上下文、生成的种子、谱系状态和评估结果。
外部服务
  • Ouroboros MCP 服务器。
凭据
  • 提供的证据未声明。

局限

  • 完整交互流程依赖当前运行时中可用或可加载的 Ouroboros MCP 工具。
  • 不执行模式下的本体稳定不等于已验证收敛;同一谱系之后仍需启用执行。
  • 循环可能因停滞而停止,或在最多 30 代后结束。

DSHub 已核对

  • 技能文档来自固定提交的 GitHub 源。
  • 仓库许可证为 MIT。

DSHub 未核对

  • DSHub 未安装、执行或运行时测试此技能。
  • 提供的证据未声明 Harness 版本范围。

固定版本安装

主要操作

这个独立 Skill没有 DSH Plugin 安装操作,请根据源码文档使用真实交付方式。

访问源码项目

维护者原文

Skill 使用说明

查看 commit 03714ba 对应的 SKILL.md
维护者编写的上游内容原文于 2026/9/5skills/evolve/SKILL.md 获取,正文和仓库相对媒体固定到 commit 03714ba44618,内容哈希为 55c619e3531d。以下是未经 DSHub 翻译的上游原文,语言可能与当前页面不同;第三方托管的 badge 可能独立更新。

name: evolve description: "Start or monitor an evolutionary development loop"

ooo evolve - Evolutionary Loop

Description

Start, monitor, or rewind an evolutionary development loop. The loop iteratively refines the ontology and acceptance criteria across generations until convergence.

Flow

Gen 1: Seed(O₁) → Execute(all nodes) → Judge → Gate
Gen 2: Wonder(failed nodes) → Reflect(active nodes only) → Execute(active) → Gate(all)
Gen 3: Repeat with a smaller active set; frozen PASS nodes are reverified, not regenerated
...until the outcome gate passes, the working set stagnates, ontology converges,
or max 30 generations is reached

Usage

Start a new evolutionary loop

ooo evolve "build a task management CLI"

Fast mode (ontology-only, no execution)

ooo evolve "build a task management CLI" --no-execute

Check lineage status

ooo evolve --status <lineage_id>

Record an isolated full-graph benchmark control

Call ouroboros_evolve_step for an existing Gen 2+ lineage with benchmark_control: true, execute: true, and an explicit clean Git project_dir. Use a distinct clean worktree at the treatment commit. Normal evolve calls keep benchmark_control false and never launch a control arm.

Rewind to a previous generation

ooo evolve --rewind <lineage_id> <generation_number>

Instructions

Load MCP Tools (Required before Path A/B decision)

The Ouroboros MCP tools are often registered as deferred tools that must be explicitly loaded before use. You MUST perform this step before deciding between Path A and Path B.

  1. Use the active runtime's tool-discovery capability to find and load the evolve MCP tools:
    tool discovery query: "+ouroboros evolve"
    
  2. The tools will typically be named with prefix mcp__plugin_ouroboros_ouroboros__ (e.g., ouroboros_evolve_step, ouroboros_interview, ouroboros_generate_seed). After runtime tool discovery returns, the tools become callable.
  3. If the tools are callable — already exposed, or loaded by discovery — proceed to Path A. An empty discovery result for already-exposed tools is expected, not a failure. Proceed to Path B only if they are genuinely absent (no Ouroboros MCP server).

IMPORTANT: Do NOT skip this step. Do NOT assume MCP tools are unavailable just because they don't appear in your immediate tool list. They are almost always available as deferred tools that need to be loaded first.

CRITICAL — deferred-schema guard (prevents "Invalid tool parameters"): This skill makes ouroboros_* MCP calls across multiple turns, and each turn runs in a fresh tool context. A deferred tool's schema loaded on one turn is NOT guaranteed to still be loaded on the next. If you call any ouroboros_* MCP tool while its schema is not loaded in the current turn, the runtime rejects the call with "Invalid tool parameters" before it ever reaches the server. Therefore: immediately before EVERY ouroboros_* MCP call in this skill, re-run the tool-discovery load query for the specific MCP tool or documented tool family you are about to call. Use "+ouroboros evolve" for ouroboros_evolve_step, ouroboros_lineage_status, and the evolve flow's documented tool family; use "+ouroboros interview" before ouroboros_interview, "+ouroboros seed" before ouroboros_generate_seed, and "+ouroboros lateral" before ouroboros_lateral_think. If a load returns no matching tool (and the tool is not already callable — an empty load for an already-exposed tool is an expected no-op, not absence), switch to the documented fallback / Path B instead of retrying the failing call.

Path A: MCP Available (loaded via runtime tool discovery above)

Starting a new evolutionary loop:

  1. Parse the user's input as initial_context
  2. Run the interview: call ouroboros_interview with initial_context
  3. Complete the interview (3+ rounds until ambiguity ≤ 0.2)
  4. Generate seed: call ouroboros_generate_seed with the session_id
  5. Call ouroboros_evolve_step with:
    • lineage_id: new unique ID (e.g., lin_<seed_id>)
    • seed_content: the generated seed YAML
    • execute: true (default) for full Execute→Evaluate pipeline, false for fast ontology-only evolution (no seed execution)
    • benchmark_control: false (default). Set true only for a deliberate Gen 2+ full-graph control in an explicit clean Git project/worktree.
  6. Check the action in the response:
    • continue → Inspect active_ac_indices, then call ouroboros_evolve_step again with just lineage_id. Only active failed/reopened nodes evolve; frozen PASS nodes stay immutable and are boundary-reverified.
    • ontology_stable → This is not success. Call ouroboros_evolve_step again for the same lineage_id with execute: true so the stable Seed goes through Execute→Evaluate. Do not call standalone evaluate or report convergence before that step returns converged.
    • converged → Evolution complete! Display final ontology
    • stagnated → Ontology unchanged for 3+ gens. Consider ouroboros_lateral_think
    • exhausted → Max 30 generations reached. Display best result
    • failed → Check error, possibly retry. If the error reports an expired lineage owner, first confirm that the prior owner process is dead, then make one explicit recovery call with recover_expired_claim: true. Never set this flag for a merely slow or still-running owner.
  7. Repeat step 6 while action is continue. Treat ontology_stable as the explicit transition above, then process the execute: true response using step 6. Stop only on converged, stagnated, exhausted, or failed.
  8. When the loop terminates, display a result summary with next step:
    • converged: ◆ Current state → next: Ontology converged! Run ooo evaluate for formal verification
    • ontology_stable: ◆ Current state → next: Run the same lineage with execute=true for Execute→Evaluate; this is not verified convergence yet
    • stagnated: ◆ Current state → next: ooo unstuck to break through, then ooo evolve --status <lineage_id> to resume
    • exhausted: ◆ Current state → next: ooo evaluate to check best result — or ooo unstuck to try a new approach
    • failed: ◆ Current state → next: Check the error above. ooo status to inspect session, or ooo unstuck if blocked

Checking status:

  1. Call ouroboros_lineage_status with the lineage_id
  2. Display: generation count, ontology evolution, convergence progress

Rewinding:

  1. Call ouroboros_evolve_step with:
    • lineage_id: the lineage to continue from a rewind point
    • seed_content: the seed YAML from the target generation (Future: dedicated ouroboros_evolve_rewind tool)

Path B: Plugin-only (no MCP tools available)

If MCP tools are not available, explain the evolutionary loop concept and suggest installing the Ouroboros MCP server. See Getting Started for install options, then run:

ouroboros mcp serve --runtime claude-cli

Then add to your runtime's MCP configuration (e.g., ~/.claude/mcp.json for Claude Code).

Key Concepts

  • Wonder: "What do we still not know?" - examines evaluation results to identify ontological gaps and hidden assumptions
  • Reflect: "How should the ontology evolve?" - proposes specific mutations to fields, acceptance criteria, and constraints
  • Convergence: Verified success requires the independently evaluated outcome to pass. In ontology-only mode, similarity ≥ 0.95 returns the non-success ontology_stable handoff and the same lineage must run once with execute: true. Judge-score plateau and the 30-generation cap are also non-success stops.
  • Focused evolution: Gen 1 establishes the baseline. Gen 2+ derives an active node set from failed/regressed verifier results. Only those nodes are open to Wonder, Reflect, and execution; PASS nodes are frozen. The active output should shrink toward zero rather than feeding the full graph back.
  • Frugality proof: A smaller active-node count is a working-set observation, not a savings claim. Gen 2+ records measured total-generation runtime tokens (Wonder, all Reflect attempts, validator/evaluator providers, executor AC attempts, dependency analysis, decomposition policy/attestation/repair, coordinator review, and shadow replay when enabled), wall time, calls, retries, and quality evidence. A PASS requires a paired full-graph control and focused treatment from distinct clean worktrees at the same Git commit, at least 10% fewer total-generation runtime tokens, and no final-gate, evaluation score/stage, drift, reward-hacking, per-AC verdict/score, lineage regression, or TraceGuard degradation. The comparison key covers the complete semantic Seed and previous evaluation. Every expected primary attempt needs exactly one runtime-token receipt and TraceGuard verdict bound to the exact session, primary dispatch, and root identity; every active root must be dispatched; every other generation provider call needs runtime usage; normalized backend/model/tier/mode/effort/permission and provider request configurations must be complete and match the same root AC or auxiliary phase role and preserve per-unit call multiplicity across the paired arms. Shared-unit sequences must be exactly equal; only whole control-only units may be removed. Blank/unknown phase roles are incomplete evidence. Full-graph controls must execute every Seed root; treatment active/frozen sets must exactly partition the Seed. Auxiliary tools, system-prompt identity, request kwargs, and fresh/scoped session mode are configuration-bound. Completion profiles are resolved once into a sealed dispatch config; only registered exact-key, single-attempt, secret-safe adapter attestations whose in-memory endpoint/credential authority reaches the actual call boundary unchanged are proof-eligible. Global or post-attestation mutable routing is ineligible. Malformed attestations invalidate the proof, not evolution. True resumed contexts without semantic identity and unknown/conflicting effective models or unreconciled usage counters are incomplete. Every current Seed AC needs exactly one final verdict against the same final semantic Seed contract. Missing, duplicate, malformed, partial, or opaque evidence is insufficient_data. Evidence reads and provider-call capture are capped; oversized or non-finite individual/subtotal/combined usage, cap overflow, and Wonder-only early stops also produce non-PASS durable receipts. Evolve never launches the control automatically because doing so would consume the production savings being measured.
  • Judge/Gate split: Evaluation records score and evidence; deterministic convergence logic decides accept/continue/stagnate. A passing Gen 1 may end immediately—minimum-generation churn is not required after the gate passes.
  • No-drift stop: If rejected evaluation scores move by less than 0.01 for the 3-generation window, stop as stagnated and hand off to ooo unstuck instead of spending the 30-generation cap.
  • Rewind: Each generation is a snapshot. You can rewind to any generation and branch evolution from there
  • evolve_step: Runs exactly ONE generation per call. Designed for Ralph integration — state is fully reconstructed from events between calls
  • execute flag: true (default) runs full Execute→Evaluate each generation. false skips execution for fast ontology exploration. Previous generation's execution output is fed into Wonder/Reflect for informed evolution. An ontology_stable response from execute: false must be followed by the same lineage with execute: true; ontology stability alone is never convergence.
  • QA verdict: Each generation's response includes a QA Verdict section (when execute=true and skip_qa is not set). Use the QA score to track quality progression across generations. Pass skip_qa: true to disable

RFC #1392 State Breadcrumb Footer

Your final response MUST end with exactly one breadcrumb footer line:

◆ <current state> → next: <recommended action>

Derive <current state> from live session state via ouroboros_session_status when that MCP projection is available; otherwise derive it from this skill's actual outcome. Never use a linear Step N of M footer because Ouroboros is an evolutionary loop. When the next action is genuinely a choice, list 2-3 honest options in the next: clause. The breadcrumb line must be the last line of the response.

有意识地管理

安装与管理

前置条件与目标 Profile

目标 agentic-development Profile, mcp-enabled-runtime Profile

交付方式 Skill 文件 — https://raw.githubusercontent.com/Q00/ouroboros/03714ba446186423dcb46e25d12bd19c3a2e82f6/skills/evolve/SKILL.md

兼容性与访问范围

Requires an Ouroboros MCP server for the full interactive flow Not declared in supplied evidence

检查兼容性证据

风险事实

execution

Full mode instructs the Ouroboros flow to execute and evaluate work across generations.

证据
project-directory

Benchmark controls require an explicit clean Git project directory or worktree.

证据
证据与编辑审查Manifest、Bundle patch、分发与新鲜度

不可变证据

审查状态与源码活动

人工已批准

在核对来源内容和不可变发布记录后,已由人工批准发布。AI 参与了内容草稿生成,最终发布决定由人工完成。

人工审查于 2026/9/5 UTC 17:17GitHub 事实核对日期: 2026/9/5 UTC 16:31

自当前证据基线以来,没有记录到重要源码变化。

下一步

比较生态 Artifact 类型

订阅重要变化: evolve