SKILLEMALL.ai
GitHub ↗ RU Sign in

AC fast-claude-code

Claude Code 任务完成回调 Runtime。支持 Single / Interactive / Team 三种模式， ⚠️ 任务在后台 tmux 会话中运行，完成后通过 System Event 自动通知，无需轮询。 Use when: 需要运行 Claude Code 任务并在完成时获得通知。 NOT for: 简单的文件读写（直接用 read/write 工具）。

ClawHub Agent Skills author: DeadLining v1.0.5 MIT-0 18 files · 15 scripts body ≈ 1 088 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Claude Code 任务完成回调 Runtime。支持 Single / Interactive / Team 三种模式， ⚠️ 任务在后台 tmux 会话中运行，完成后通过 System Event 自动通知，无需轮询。 Use when: 需要运行 Claude Code 任务并在完成时获得通知。 NOT…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorAI and agentsSoftware developmenttype 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
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
54/100
Has gaps
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

    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 · 0

    ✓ No critical or high findings

    Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 54/100

    • 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
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 28 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1088 tokens
    • low 13 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 191: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This skill appears intended to run Claude Code jobs in the background, but it grants broad unattended authority and changes project agent hooks in ways users should review carefully.
    LLM: suspicious (high) · VirusTotal: · 12 Sept 2026