SKILLEMALL.ai

BD longtask_system

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ClawHub Agent Skills author: noah v1.2.2 MIT-0 16 files · 4 scripts body ≈ 1 288 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
75/100
safety, quality, tests
Safety 60%
95
Quality 40%
46
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Dangerous commands cmd-background-process skill-card.md:21
    Starts a background / autostarted process
    Mitigation: Use trusted task files, monitor daemon logs and inbox state, and keep a clear stop procedure for the screen or setsid process. <br>
  • low Dangerous commands cmd-background-process SKILL.md:78
    Starts a background / autostarted process
    # 方案2: setsid(Linux 环境)
  • low Dangerous commands cmd-background-process SKILL.md:79
    Starts a background / autostarted process
    setsid bash daemon.sh my_task > longtask_log/daemon.log 2>&1 &
  • low Dangerous commands cmd-background-process SKILL.md:85
    Starts a background / autostarted process (quoted — discussed, not commanded)
    **注意**:OpenClaw 等 Agent 框架在 session 结束时会清理子进程,必须使用 `screen` 或 `setsid` 确保 daemon 不被杀掉。
    quoted
  • low Dangerous commands cmd-background-process SKILL.md:258
    Starts a background / autostarted process
    - 修复 daemon 在 OpenClaw 环境下被 session 杀掉的问题(使用 screen/setsid)

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Implicit map keys need to be followed by map values at line 10, column 1: 重要:为了确保长程任务执行的效果,每一个子任务会强制通过/new重置对话后执行!如果你是单agent模式,可以在notify_agent.sh脚本中的消息构建… ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (longtask_system) differs from the folder (longtask-system)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 36 steps
  • 100Execution cost. Instruction body is 1288 tokens
  • 100Running it twice. No mutating operations
  • low 10 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)
  • +3Description length 1: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 46.

External checks

ClawHub: suspicious
This is a coherent long-task automation skill, but it deserves Review because it can run persistent agent orchestration while resetting agent context and rendering untrusted task text into HTML without escaping.
LLM: suspicious (high) · VirusTotal: · 29 May 2026