SKILLEMALL.ai

AC long-running-tasks

Orchestrate multi-phase background development using coding agents. Use when: (1) a project has multiple sequential tasks that should run autonomously without human intervention between steps, (2) the user wants continuous background work with crash recovery, stall detection, and progress reporting, (3) the user mentions "long-running tasks", "autonomous development", "background orchestration", or "multi-phase project". Not for: single one-shot tasks, interactive pairing, or work requiring human review between every step.

ClawHub Agent Skills author: mm0830 v1.1.0 4 files body ≈ 1 513 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationData and analyticsPersonal productivitySoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
82
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 references/orchestrator-cron.md:74
      Starts a background / autostarted process
      cd [PROJECT_PATH] && nohup [AGENT_COMMAND] '[TASK_PROMPT]' > /tmp/lrt-[PROJECT_SLUG]-worker.log 2>&1 &
    • low Dangerous commands cmd-background-process SKILL.md:86
      Starts a background / autostarted process
      cd /path/to/project && nohup <agent-command> '<task prompt>' > /tmp/lrt-<project>-worker.log 2>&1 &

    Files scanned: 4. 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: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Orchestrate multi-phase background development using coding agents… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 21 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (git) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 100Steps. 23 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1513 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 528: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This instruction-only skill openly sets up autonomous coding workers, so it is powerful but its risky behavior is disclosed and aligned with its purpose.
    LLM: benign (high) · VirusTotal: · 29 May 2026