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AC task-interrupt-pro

Task Interrupt Skill Pro - 精确停止Agent执行中的子任务进程。 Triggers: "停止猫经理", "停止猫工头", "停止猫财子", "停止猫播播", "停止我的任务", "中断猫经理", "解救猫经理", "agent任务卡住", "进程无响应", "子任务卡死"。 注意：不支持 /stop（系统级abort命令，会直接终止agent本身）！

ClawHub Agent Skills author: tsangho v1.0.4 MIT-0 10 files · 5 scripts body ≈ 2 302 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Task Interrupt Skill Pro - 精确停止Agent执行中的子任务进程。 Triggers: "停止猫经理", "停止猫工头", "停止猫财子", "停止猫播播", "停止我的任务", "中断猫经理", "解救猫经理", "agent任务卡住", "进程无响应", "子任务卡死"。 注意：不支持…

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

ProcedureAI and agentstype 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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: 10. 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
    • 30Running it twice. 1 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 52 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2302 tokens
    • 100Progress reporting. Reports progress
    • low 11 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

    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 192: enough signal without eating the budget
    • +4Structure: 38 headings
    • +3Step-by-step instructions: 52 items
    • +4Has examples (10 code blocks)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    The skill is genuinely aimed at stopping stuck agent tasks, but it uses broad stop triggers and unsafe shared temporary files that make it risky on shared or sensitive systems.
    LLM: suspicious (high) · VirusTotal: · 12 Sept 2026