Evolution
sickn33/agentic-awesome-skills
This skill enables makepad-skills to self-improve continuously during development.
自我进化治理能力 — 规范、Skill、Prompt、探针和发布流程自动优化的控制面门禁. An agent skill from devcodex-labs/devcodex.
AGPL-3.0Auto-check passed
Install Evolution Governance
$ npx skills add devcodex-labs/devcodex --skill evolution-governance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install devcodex-labs/devcodex evolution-governance --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content/skills/evolution-governance .claude/skills/evolution-governance && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "evolution-governance" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/evolution-governance into .claude/skills/evolution-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evolution-governance", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/devcodex-labs/devcodex/tree/main/content/skills/evolution-governanceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add devcodex-labs/devcodex --skill evolution-governance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install devcodex-labs/devcodex evolution-governance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/content/skills/evolution-governance .agents/skills/evolution-governance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evolution-governance" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/evolution-governance into .agents/skills/evolution-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evolution-governance", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devcodex-labs/devcodex --skill evolution-governance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install devcodex-labs/devcodex evolution-governance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/content/skills/evolution-governance .cursor/skills/evolution-governance && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "evolution-governance" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/evolution-governance into .cursor/skills/evolution-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evolution-governance", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/devcodex-labs/devcodex.git --path content/skills/evolution-governance--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add devcodex-labs/devcodex --skill evolution-governance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install devcodex-labs/devcodex evolution-governance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/content/skills/evolution-governance .gemini/skills/evolution-governance && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "evolution-governance" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/evolution-governance into .gemini/skills/evolution-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evolution-governance", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install devcodex-labs/devcodex evolution-governanceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add devcodex-labs/devcodex --skill evolution-governance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .github/skills && cp -r skills-src/content/skills/evolution-governance .github/skills/evolution-governance && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "evolution-governance" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/evolution-governance into .github/skills/evolution-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evolution-governance", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devcodex-labs/devcodex --skill evolution-governance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install devcodex-labs/devcodex evolution-governance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/content/skills/evolution-governance .opencode/skills/evolution-governance && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "evolution-governance" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/evolution-governance into .opencode/skills/evolution-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evolution-governance", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
evolution-governance- GitHub stars
- 439
- Token cost
- ~2.1k tokens
- SKILL.md length
- 537 words
- Files
- 4
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
自我进化治理能力 — 规范、Skill、Prompt、探针和发布流程自动优化的控制面门禁. An agent skill from devcodex-labs/devcodex.
- Works in 6 steps: 用 rework-prevention-engineering 的… → 按 frequency × severity ×… → 记录 baselineWindow / reworkCluster /… → …
- SKILL.md covers 职责, 触发条件, EvolutionCapabilityControlPlane… and EvolutionTargetDecisionGate, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Evolution Governance is an agent skill from devcodex-labs/devcodex. 自我进化治理能力 — 规范、Skill、Prompt、探针和发布流程自动优化的控制面门禁
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `evolution-target-decision.v1.schema.json`, `intent.json` and `workspace-provisioning-receipt.v1.schema.json`).
The repository describes itself as: Intent-driven AI coding workflow runtime for consistent context, skills, approvals, validation, and handoffs across six AI coding hosts. The licence is AGPL-3.0.
Example prompts
- “/evolution-governance”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 用 rework-prevention-engineering 的 WorkUnit 口径冻结返工簇，区分 rework、scope-change、external-change、planned-iteration 与 same-phase-catch。
- 按 frequency × severity × lateDiscoveryCost × preventability 排序，只治理高价值、可前移的根因；单次偶发问题最多作为候选证据。
- 记录 baselineWindow / reworkCluster / currentDetectionPhase / targetDetectionPhase / candidateControl，历史审查记录只能证明基线，不能证明新控制有效。
- 用变更后的可比 WorkUnit 做前瞻验证；普通晋级至少需要 3 个可比 WorkUnit，或 2 个相互独立的项目 / 工作流上下文。样本不足保持 insufficient-evidence。
- 比较 FirstPassYield、WorkUnitReworkRate、RepeatEscapeRate、PreventionHitRate、晚发现成本、误报与执行开销；质量下降、成本失控或无改善时判 ineffective / harmful。
- P0/P1、安全或发布阻断可紧急启用候选控制，但必须限定范围、保留回滚并在后续观察窗补齐前瞻证据；不得因此直接宣告 active 有效。
What it can do on your machine
Read from SKILL.md and the folder at commit 1dd4525. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Evolution Governance loads about 2.1k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 537 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from devcodex-labs/devcodex at commit 1dd4525, republished under its AGPL-3.0 licence (© devcodex-labs). 537 words, ~2,148 tokens.
Download SKILL.mdSave it as
.claude/skills/evolution-governance/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- evolution-governance
- description
- 自我进化治理能力 — 规范、Skill、Prompt、探针和发布流程自动优化的控制面门禁
Evolution Governance Skill
职责
当任务涉及自我进化、规范自动优化、模型辅助生成规则、自动补 Skill / Prompt / Probe、自动发版建议或治理控制面时，本 Skill 是独立入口。
本 Skill 负责把 AI 生成的“改进建议”限制在候选态，明确授权、模型配置、租户 / 权限、配额、数据边界、审计日志、回滚和发布审批。任何模型输出不得直接写入 active 规范、部署副本、tag、release 或 publish 流程。
运行态 canonical 化的迁移第一阶段可使用 scripts/check-runtime-state.js：它优先读取
fresh compact current projection，陈旧或损坏时只读解析台账、Agent/daily/global
SUMMARY；只有显式 --write-index 才同时写 legacy
.runtime-state/runtime-state-index.json 与内容寻址 current/detail 分区。两者都不
覆盖历史 Markdown、不切换现有写入者，也不授权自动修复或 active mutation。
触发条件
| 场景 | 是否触发 |
|---|---|
| 用户要求“自我进化 / 自动吸纳 / 自动优化规范 / 自动补探针 / 自动改 Skill” | 必须 |
| 代码或规范设计引入模型生成规则、模型评审规则、自动建议合并或治理流水线 | 必须 |
| 规范发布、tag、publish 前需要基于模型建议自动生成 release 决策 | 必须 |
| 普通手工规范修复、单条 PI/PF 吸纳且无自动化控制面 | N/A，走 spec-governance + source-consumer-sync |
EvolutionCapabilityControlPlaneGate
自我进化能力必须先冻结控制面合同：
| 字段 | 要求 |
|---|---|
capabilityMode | candidate-only、review-assisted、auto-propose 或明确禁用；默认 candidate-only |
authorization | 用户 / 项目 / 租户是否允许该能力，谁能审批，何时可撤销 |
modelProviderConfig | 模型提供方、模型名、版本、temperature / seed / tool 权限、降级路径 |
tenantAndPermissionScope | 租户、项目、active-root、source-root、deployCopy、发布权限边界 |
quotaAndCostBudget | token、调用次数、并发、重试、费用和超限策略 |
dataPolicy | 可读数据、不可读数据、敏感信息策略、跨项目 / 跨租户隔离 |
EvolutionRun | 每次候选生成的 runId、输入、输出、diff、证据、操作者、时间 |
qualityObjective | 本轮要降低的返工簇、目标发现阶段和不可牺牲的质量边界 |
baselineWindow | 变更前可比 WorkUnit、返工事件、首次通过率和晚发现成本基线 |
prospectiveTrials | 变更后前瞻试运行的 WorkUnit、上下文、执行证据与观察窗口 |
effectivenessVerdict | effective / ineffective / harmful / insufficient-evidence，不得用实现完成替代效果结论 |
overheadAndFalsePositiveCost | 新 Gate / Skill / Probe 引入的执行耗时、认知成本、误报和绕行成本 |
rollbackOrSunset | 无效、有害或长期未命中时的回滚、降级、合并或退役条件 |
auditLog | 记录建议生成、人工采纳、拒绝、回滚、发布审批和验证结果 |
rollbackPlan | 如何撤销候选、恢复 active 规范、回退部署副本、撤回发布 |
releaseApproval | tag / release / publish 前必须有人类确认和 release-verification 证据 |
EvolutionTargetDecisionGate
每个可泛化进化候选在写入任何 active Skill、项目 overlay 或 package source 前，必须先形成 EvolutionTargetDecisionV1。schema 位于同目录 evolution-target-decision.v1.schema.json。
| 目标 | 默认与证据要求 | active 目的地 |
|---|---|---|
workspace-local | 默认；适用于跨项目可复用、但尚未达到上游发布标准的本地规则 | .devcodex/workspace/skills/<id>/ |
project-local | 仅当行为依赖唯一项目的技术栈、约束或消费者；必须有 projectSpecificEvidenceRefs | .devcodex/<project>/skills/<id>/ |
upstream-package | 仅显式维护者贡献；必须有 maintainerAuthorization=explicit-confirmed、非空 maintainerAuthorizationEvidenceRefs，并用绝对 upstreamPackageRoot 绑定本次上游仓库，再重新走 spec/package/release 门禁 | <upstreamPackageRoot>/content/skills/<id>/ 或既有 Owner |
候选真相源固定为 .devcodex/workspace/evolution/candidates/，决定与证据分别进入 decisions/、evidence/。candidate、decision 和 evidence 都不是 Skill resolver 输入；candidateResolverEligible 永远为 false。读取已保存 decision 时必须重算字段、decisionId 与 validation，不能信任其中的 validation.valid。只有 decision=approved、activePromotionAuthorized=true 且 activePromotionAuthorizationEvidenceRefs 非空后，另一个受控写步骤才能把内容晋级到 activeDestination；upstream 目的地还必须位于该 decision 明确绑定的 <upstreamPackageRoot>/content/skills/ 内。拒绝、待审、缺证据或缺授权时 activeDestination=null，不得通过软链接、目录扫描或兼容 fallback 绕过隔离。
Provider 分两种：
host-assisted-local：使用当前宿主已授权的模型/工具帮助形成本地候选，不要求 DevCodex 再声明一个 provider、tenant 或 quota；automationControlPlane=null，仍须保留 diff、证据、人工决定和回滚。external-automation：DevCodex 或外部流水线主动调用模型服务，必须填写 provider/model、tenantAndPermissionScope、quotaAndCostBudget、dataPolicy 和 auditLog；任何缺项都保持 candidate-only/BLOCK。
目标判断只决定“候选应归哪里”，不创建目录、不写 active Skill、不发布；workspace provisioning 由独立 CLI 合同拥有，Skill author 只消费已批准的 decision。
devcodex init/update 的目录准备必须返回 WorkspaceProvisioningReceiptV1（同目录 workspace-provisioning-receipt.v1.schema.json）：状态只允许 fresh / existing / planned / failed。dry-run 对缺失目录返回 planned 且零写入；既有候选、决定和证据不得覆盖；mkdir、路径类型或 workspace-local decision 校验失败必须 typed/nonzero，并保留部分创建事实，不得用空 catch 冒充成功。status/doctor 只读取该布局，不得隐式创建目录。
必执行门禁
EvolutionCapabilityControlPlaneGate：自我进化能力只能生成候选，不得直接写 active 规范或发布。LayeredAbsorptionGate：候选被人工采纳后，仍要按 prompts / skill / 通用规范 / 探针 / 文档 / 部署副本分层吸纳。ProactiveBetterAlternativeGate：模型建议不是默认最优；必须比较手工修复、既有 Skill 子门禁、新 Skill 和 docs-only 路径。RemoteCIParityPushGate：任何由自我进化候选引发的 push / release 前必须执行远端 CI 同构本地门禁。PortableExternalArtifactGate：模型生成报告或共享包不得写死本机绝对路径、私有.devcodex路径或个人工作区前提。
ReworkEffectivenessLoop
自我进化候选声称“降低返工率、提升首次通过率或减少复审逃逸”时，必须执行 ReworkEffectivenessLoop：
- 用
rework-prevention-engineering的 WorkUnit 口径冻结返工簇，区分rework、scope-change、external-change、planned-iteration与same-phase-catch。 - 按
frequency × severity × lateDiscoveryCost × preventability排序，只治理高价值、可前移的根因；单次偶发问题最多作为候选证据。 - 记录
baselineWindow / reworkCluster / currentDetectionPhase / targetDetectionPhase / candidateControl，历史审查记录只能证明基线，不能证明新控制有效。 - 用变更后的可比 WorkUnit 做前瞻验证；普通晋级至少需要 3 个可比 WorkUnit，或 2 个相互独立的项目 / 工作流上下文。样本不足保持
insufficient-evidence。 - 比较 FirstPassYield、WorkUnitReworkRate、RepeatEscapeRate、PreventionHitRate、晚发现成本、误报与执行开销；质量下降、成本失控或无改善时判
ineffective / harmful。 - P0/P1、安全或发布阻断可紧急启用候选控制，但必须限定范围、保留回滚并在后续观察窗补齐前瞻证据；不得因此直接宣告 active 有效。
EvolutionRun 的有效性字段至少包括：qualityObjective / baselineWindow / reworkCluster / targetPhaseShift / candidateControl / prospectiveTrials / falsePositiveCost / overheadCost / effectivenessVerdict / rollbackOrSunset。
Show full SKILL.md (221 more words)Show less
ExecutionOptimizationLifecycleGate
执行链性能能力以 OptimizationFeatureStateV1 管理 off → shadow → trial → default，有害候选进入 rolled-back，连续两个 release candidate 无有效收益或维护税超过收益时进入 sunset review。当前受控能力仅包括 task index、context computation reuse、changed-scope validation、Profile section load、Skill bundle 与 ProjectKnowledge reuse；新增 feature 必须先补消费者、安全 fallback、负向探针和 V101，不得只向状态数组追加名称。
safe-auto 只允许已通过 trial 的加速路径；full-only 必须关闭全部选择性复用并保持 bounded task resolver、完整 Context/Profile/Skill 读取、intent-preserving direct validation plan 与 full-project-analysis 可用。validation 只有获得显式 full-audit 或 release authorization 才能进入 V3。状态 schema 只读兼容上一版，writer 只写当前版；未知未来 schema 或无效配置 fail-closed，不猜测迁移。promotion 必须同时满足 prospective trials、正确性零错误、收益阈值、fallback regression、overhead 与 false-positive 预算，任一正确性错误立即 rollback。
生命周期不是观测面标签。task resolver、Context cache、validation runner、Profile loader、Skill planner 与 ProjectKnowledge planner 必须在每次真实动作前消费 ExecutionOptimizationFeatureDecisionV1；off / shadow / rolled-back / sunset 禁止进入优化分支。状态文件缺失可按 trial 兼容启动，但读取失败、容量绕过、未知 schema、identity 无效或目标 root 不明确必须走该 feature 的安全 fallback：validation 使用保留显式 intent/route 的 direct-validation-plan 并禁用 cache/reuse，不能安全推导则 BLOCK；其他 feature 走完整读取 route。负向探针必须证明六类消费者均未漏接。
负向用例
自我进化控制面至少覆盖以下拒绝 / 降级探针：
disabled：能力未启用时只能记录候选，不执行写入。unauthorized：无权限用户或租户不得触发 active 规范变更。missing-model-config：缺模型配置时不得伪造默认模型或静默降级。quota-exceeded：超预算时停止候选生成并记录未完成范围。cross-tenant-data-policy：跨项目 / 跨租户数据不可混读或写错 active-root。direct-publish-blocked：模型建议不得直接 tag、release、publish 或覆盖部署副本。retrospective-only-proof：只有历史问题和文本规则时必须保持insufficient-evidence。metric-gaming：通过缩小 WorkUnit、把返工改标计划迭代或降低验收标准制造的指标改善必须判无效。execution-full-only：kill switch、无效绑定或未知 schema 下仍命中 cache/changed/section/bundle/snapshot 必须失败。execution-lifecycle-disconnected：状态已为off / shadow / rolled-back / sunset，但任一真实消费者仍进入优化分支，必须失败；仅 status/doctor 显示回滚不构成执行闭包。candidate-resolver-leak：resolver、catalog 或 fallback 直接读取evolution/candidates|decisions|evidence必须失败。project-local-without-project-evidence：缺项目专属性证据不得选择 project-local。upstream-without-maintainer-authorization：不得把历史贡献身份、仓库写权限或 auto 授权当作本次 maintainer contribution 确认。external-automation-incomplete：provider、tenant/permission、quota/cost、data policy 或 audit 任一缺失不得启动外部自动进化。
交付证据
报告必须列出：
EvolutionRun路径或N/A + skipReason- 控制面字段冻结结果
- 候选 diff 与人工采纳 / 拒绝结论
- 分层吸纳决策与验证路线
ReworkEffectivenessLoop基线、前瞻证据、效果结论、成本和回滚 / 退役判断，未触发写N/A + skipReason- 回滚计划与发布审批状态
与其他 Skill 的关系
skill-gap-analysis：负责候选发现前的项目/规模路由、语料完整性、现有 Owner 去重和缺口收敛；本 Skill 仍负责候选授权。skill-lifecycle-governance：负责 Skill portfolio 的依赖、冲突、触发质量、gray/deprecated/retired 与退役证据；任何 active 状态变化仍需本 Skill 的授权和发布审批。spec-governance：负责 PI/PF/GAP 分流与规范变更验证；本 Skill 只负责自我进化控制面。source-consumer-sync：负责真相源、消费者、历史镜像、部署副本和黄色偏离边界。test-router：选择负向用例、validate、targeted test、release parity 或人工证据。release-verification：任何 tag / publish / release 前仍由发布验证链执行，不被自我进化能力替代。
禁止
- 禁止模型输出绕过人工确认直接进入 active 规范、Skill、Prompt、部署副本或发布包。
- 禁止缺少模型配置、权限、配额、数据边界或审计日志时启用自动治理。
- 禁止把模型建议当成已经验证的事实；必须经本地源码、文档、测试或运行证据复核。
© devcodex-labs, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files in content/skills/evolution-governance of devcodex-labs/devcodex.
- SKILL.md
- evolution-target-decision.v1.schema.json
- intent.json
- workspace-provisioning-receipt.v1.schema.json
Open the folder on GitHubat commit 1dd4525
Compare with similar skills
Evolution Governance next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Evolution Governance this skilldevcodex-labs/devcodex | 439 | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Evolutionsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Board Governancesickn33/agentic-awesome-skills | 47k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Agent Governancegithub/awesome-copilot | 40k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Model Registry Governancesickn33/agentic-awesome-skills | 47k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Protect MCP Governancesickn33/agentic-awesome-skills | 47k | 2 repos | ~2.3k | Automated safety check: Pass | MIT |
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Patterns and techniques for adding governance, safety, and trust controls to AI agent systems.
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Questions about Evolution Governance
What does Evolution Governance do?
自我进化治理能力 — 规范、Skill、Prompt、探针和发布流程自动优化的控制面门禁. An agent skill from devcodex-labs/devcodex. Evolution Governance is an agent skill from devcodex-labs/devcodex.
How do I install Evolution Governance in Claude Code?
Run `npx skills add devcodex-labs/devcodex --skill evolution-governance -a claude-code`. Or copy the skill folder (content/skills/evolution-governance in devcodex-labs/devcodex) into .claude/skills/evolution-governance in your project. Claude Code loads it when a task matches its description.
How do I install Evolution Governance in Codex?
Run `npx skills add devcodex-labs/devcodex --skill evolution-governance -a codex`. Or copy the skill folder (content/skills/evolution-governance in devcodex-labs/devcodex) into .agents/skills/evolution-governance in your project. Codex loads it when a task matches its description.
Can I use Evolution Governance in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add devcodex-labs/devcodex --skill evolution-governance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evolution-governance, .gemini/skills/evolution-governance, .github/skills/evolution-governance and .opencode/skills/evolution-governance in your project.
What does Evolution Governance need to run?
SKILL.md names no scripts, command-line tools or credentials: Evolution Governance is instructions for the agent only.
Does Evolution Governance access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Evolution Governance safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Evolution Governance use?
Evolution Governance is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Evolution Governance use?
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Evolution Governance?
Skills that share tags, products or a category with Evolution Governance: Evolution (sickn33/agentic-awesome-skills, 47k stars), Board Governance (sickn33/agentic-awesome-skills, 47k stars), Agent Governance (github/awesome-copilot, 40k stars) and Model Registry Governance (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Evolution Governance?
devcodex-labs (a GitHub organization) maintains it in devcodex-labs/devcodex, which has 439 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on September 17, 2026.
Source: devcodex-labs/devcodex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.