skill-system-evolution-executor

skill-system-evolution-executor is a skill for Claude Code, Codex from TashanGKD/tashan-cursor-skills. It costs 0 tokens per session (2,637 once invoked), scanned A, original, MIT.

A project workflow for large, multi-part redesigns of an AI agent’s skill system. It guides scope selection, planning, review, staged changes, validation, and lessons learned.

In plain words
What is it for?
Use it to coordinate a major restructuring of multiple skills, rules, or agents from initial approval through final verification.
Why use it?
It gives complex system-wide changes a defined path with review points and acceptance checks instead of ending after a plan is written.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to coordinate a major restructuring of multiple skills, rules, or agents from initial approval through final verification.

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Install with agentmods
npx agentmods add skills/tashangkd/tashan-cursor-skills/skill-system-evolution-executor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add TashanGKD/tashan-cursor-skills --skill skill-system-evolution-executor
Clone the repo
git clone --depth 1 https://github.com/TashanGKD/tashan-cursor-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-system-evolution-executor

README.md
[![agentmods](https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/skill-system-evolution-executor/github.svg)](https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/skill-system-evolution-executor)
Your own site
<a href="https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/skill-system-evolution-executor"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/skill-system-evolution-executor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skill-system-evolution-executor

Your own site · 80×15
<a href="https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/skill-system-evolution-executor"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/skill-system-evolution-executor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,637 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02637
Opus 5 $0.00000 $0.01319
Sonnet 5 $0.00000 $0.00527
Haiku 4.5 $0.00000 $0.00264

Measured 9d ago against content hash 7618f3be7a40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

skill-system-evolution-executor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/skill-system-evolution-executor/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill:Skill体系完善执行(skill-system-evolution-executor)

关系类型:implements → _内部总控/认知结构/L1_系统性文档/系统架构思维维度/Skill体系设计原则_v1.0.md §9.7


一、Skill 定位

层级:流程层(Process Layer) 类型:L4 系统型完善项目编排器 本质:当 Skill 体系需要多组件/多层级的系统性重构时,提供从「用户确认规模」到「经验沉淀」的完整项目流程(Phase 0~5),解决 §9.2 Level 4 的悬空终止符问题。

VSM 完备性检验(§3.4)

条件 本 Skill 的对应内容
S4 激活:什么时候触发我? 用户明确说「执行Skill体系完善」「L4系统型重构」「按完善计划执行」「开始Skill体系完善项目」
S1 执行:我做什么? Phase 0~5 完整编排:规模确认→分析计划→双审核→分批执行→整体验证→经验沉淀
S3 质量:输出合格标准? Phase 4 通过 skill-system-health-check + skill-closure-verifier-meta,且验收标准逐条满足
告警:何时暂停/上报? Phase 0 等用户确认;Phase 1 等用户确认计划;Phase 2 Critical问题暂停;Phase 3 新冲突暂停
S5 边界:我明确不做什么? 不处理单个 Skill 的 L1~L3 修改(→直接走skill-rule-修改规范);不自动触发;不跳过 Phase 2 双审核

与相邻 Skill 的边界

Skill 关系
skill-system-health-check 本 Skill 的子步骤(Phase 1 诊断、Phase 3/4 验证)
skill-evolution-planner-meta 本 Skill 的子步骤(Phase 1 战略分析)
skill-designer 本 Skill 调用它处理 Phase 3 中的 L2/L3 条目
project-retrospective 本 Skill 的最后子步骤(Phase 5)
skill-rule-修改规范 Phase 3 中 L1 条目的执行依据

二、触发词

「执行Skill体系完善」
「Skill体系L4改造」
「系统型Skill重构」
「按完善计划执行」
「按计划执行Skill体系更新」
「开始Skill体系完善项目」

重要:本 Skill 必须由用户明确触发,不自动触发。触发后 Phase 0 必须等用户确认才能继续。


三、执行流程(严格按 Skill体系设计原则_v1.0.md §9.7)

Phase 0:规模确认(必须等用户决策,不可跳过)

Step 0.1  扫描以下来源,建立本次改动的完整清单:
          - .cursor/skills/skill-index/PENDING-EXPERIENCES.md(积压信号)
          - .cursor/skills/skill-index/PENDING-SKILLS.md(需求积压)
          - .cursor/skills/skill-index/skill-system-inventory-*.md(已知 Gap)
          - 本次对话中用户提出的改动意向

Step 0.2  输出规模评估报告:
          ┌─────────────────────────────────────────┐
          │ 涉及层级:[文档层/约束层/角色层/流程层/能力层/Agent层]
          │ 涉及组件数:[N 个,逐一列出]
          │ 影响的执行路径:[枚举]
          │ 建议分批:P0(N个)/ P1(N个)/ P2(N个)
          │ 预估工作量:[小/中/大]
          └─────────────────────────────────────────┘

Step 0.3  等待用户确认「规模和分批策略」
          IF 用户确认 → 进入 Phase 1
          IF 用户要求缩减范围 → 重新扫描后再出评估报告
          IF 用户要求推迟 → 记录到 PENDING-SKILLS,本次结束

Read the full file on GitHub · 205 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 205 lines · 0 tokens per session scan A 7618f3be7a40

Subscribe to this mod's changes

skill-system-evolution-executor is a skill published in the GitHub repository TashanGKD/tashan-cursor-skills (20 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,637 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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