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P8级全栈编程专家（Java/PHP-CMS/前端/MySQL）：API设计、Bug诊断、代码生成与审查、重构、测试、性能基准、技术选型、文档、Spec驱动、任务拆解、项目知识图谱，及工程纪律层（根因调试、阶段导航、事故复盘/SLO、威胁建模/供应链、生产就绪/渐进式发布、AI编码治理、Agent可读性、LLM安全、技术战略、技术影响力、效能度量）。支持 @标识 显式调用。

ClawHub Agent Skills author: wymli v1.0.0 MIT-0 79 files · 27 scripts body ≈ 1 903 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

P8级全栈编程专家（Java/PHP-CMS/前端/MySQL）：API设计、Bug诊断、代码生成与审查、重构、测试、性能基准、技术选型、文档、Spec驱动、任务拆解、项目知识图谱，及工程纪律层（根因调试、阶段导航、事故复盘/SLO、威胁建模/供应链、生产就绪/渐进式发布、AI编码治理、Agent可读性、LLM安全、…

As a process F 31/100 · No process to follow — References files that are not bundled: FAQ.md, references/<子技能>.md

IntegrationMySQLAI and agentsSoftware developmentCustomer supporttype 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
83/100
safety, quality, tests
Safety 60%
94
Quality 40%
67
Run on models
none yet
Process rating
F
31/100
No process to follow
References files that are not bundled: FAQ.md, references/<子技能>.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Shell, Bash
    allowed-tools: Read Grep Glob Shell Bash Edit Write Task WebSearch
  • low Secrets in code secret-high-entropy-token references/java-testing.md:54
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    void crea…201() throws Exception {
    fixture

Files scanned: 79. 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")
  • warning missing-ref reference to a missing file: FAQ.md
  • warning missing-ref reference to a missing file: references/<子技能>.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: FAQ.md, references/<子技能>.md
  • 0Tools and files. 2 referenced file(s) missing: FAQ.md, references/<子技能>.md
  • 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
  • 40Consistency. Frontmatter name (dev-expert) differs from the folder (weimingli-123)
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 1903 tokens
  • 100Running it twice. No mutating operations
  • low 14 top-level sections: this looks like several domains in one skill

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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 188: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 12 items
  • +4Reference files are cited in the instructions (9 of 45)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a broad coding-assistant skill with disclosed optional local guardrail hooks and project memory; I did not find hidden exfiltration, destructive behavior, or deceptive payloads.
LLM: benign (high) · VirusTotal: · 9 Oct 2026