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CD release-readiness-check

上线前五分钟体检、发布前检查、上线卡点、release readiness、一条命令跑完 Dockerfile / K8s 清单 / SQL 迁移 / OpenAPI 兼容 / .env 配置五项检查并汇总成一份报告。当用户说「能不能上线」「上线前检查一下」「发布前体检」「帮我看看这次上线有没有风险」「上线 checklist 跑一遍」「CI 加个上线门禁」时使用。附纯标准库脚本 scripts/release_check.py，自动发现目标目录里的 Dockerfile、含 kind 的 K8s YAML、*.sql 迁移、openapi 规范、.env 文件，逐项用子进程调用内置的五个独立检查器，汇总为 Markdown 报告（总览表 → 各项 top 问题 → 门禁结论）。门禁三态：有 high 判「不建议上线」；无 high 但有项拿不到证据（子脚本崩溃、旧规范为空/无 paths、只有 Helm 模板、缺 .env 示例）判「无法判断，缺 N 项证据」并同样不放行；全部项都有结论且无 high 才是「可以上线」。目录里没有这类文件算「不适用」，不影响放行。支持 --json、--strict 做 CI 门禁（有 high 或有无法判断项则退出码 1）、--skip 显式豁免某项、--openapi-base 比对旧规范。

ClawHub Agent Skills author: poet v1.0.0 MIT-0 8 files · 6 scripts body ≈ 1 193 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

上线前五分钟体检、发布前检查、上线卡点、release readiness、一条命令跑完 Dockerfile / K8s 清单 / SQL 迁移 / OpenAPI 兼容 / .env 配置五项检查并汇总成一份报告。当用户说「能不能上线」「上线前检查一下」「发布前体检」「帮我看看这次上线有没有风险」「上线…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

TemplateDockerKubernetesInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
72
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-privilege scripts/checks/dockerfile_check.py:87
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    if "chmod 777" in low or "chmod -r 777" in low:
    code literal
  • low Dangerous commands cmd-privilege scripts/checks/dockerfile_check.py:88
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    add("DF016", "warn", line, "chmod 777", "按需给最小权限，如 755 / 644")
    code literal

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "examples_zh"
  • note frontmatter-key unknown frontmatter key "examples_en"

Process rating: all ten parameters 43/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1193 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 574: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (2 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill is a coherent local release-check tool, but it has under-disclosed filesystem boundary risks around symlinks and report writing that users should review before installing.
LLM: suspicious (high) · 24 Sept 2026