SKILLEMALL.ai

AC debug-prompt-driven-cron-agent-zero-output

用于排查“定时任务成功执行但结果全为 0 / 未检索到样本 / 明明有数据却日报为空”这类问题,尤其适合 Discord、Obsidian、cron、agentTurn、prompt 驱动任务、日整理、复盘脚本、采样漏扫、thread starter 漏计、主频道消息未纳入、Snowflake 字符串比较、时区时间窗边界等场景。只要用户提到“任务跑通了但产物为空”“怀疑不是分类错而是采样漏了”“想确认 prompt job 是否没有固定源码”“想定位检索链路断点”,就应触发此技能。

ClawHub Agent Skills author: can4hou6joeng4 v1.0.0 MIT-0 5 files body ≈ 2 118 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureDiscordObsidianAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 4. 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 61/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 72 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2118 tokens
    • 100Running it twice. No mutating operations
    • medium 4 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • -212 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 243: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 72 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a documented troubleshooting guide for OpenClaw cron jobs that may inspect local logs and notes, with no executable code or hidden install behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026