SKILLEMALL.ai

AC unattended-task-pitfalls

Hardening playbook for AI agent unattended/scheduled tasks (cron jobs, scheduled backups, auto-reports). Real incident-derived rules on background execution, artifact verification, isolated-session context blindness, notification design, and self-healing retries. Use when building or debugging cron/scheduled/automated agent tasks, "task failed but reported success" issues, corrupted backup artifacts, or silent misjudgment in scheduled summarization/archival jobs.

ClawHub Agent Skills author: mowenQWQ v1.0.0 MIT-0 3 files body ≈ 847 tokens Open the sourceclawhub.ai analyzed 2 d ago

Hardening playbook for AI agent unattended/scheduled tasks (cron jobs, scheduled backups, auto-reports).

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI and agentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
87
Run on models
none yet
Process rating
C
55/100
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Dangerous commands cmd-background-process SKILL.md:43
      Starts a background / autostarted process (documentation of a security skill)
      - 工具调用层报 504 Gateway Timeout,**底层命令可能已经执行成功**(尤其 setsid 后台任务不受会话死亡影响)
      security skill

    A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

    Files scanned: 3. 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 55/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 847 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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 467: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (3 code blocks)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: clean
    This skill is a disclosed hardening guide for scheduled agent tasks, with one notable but purpose-aligned caution around detached background commands.
    LLM: benign (high) · VirusTotal: · 30 Aug 2026