SKILLEMALL.ai

AB zfs

ZFS filesystem administration, pool management, dataset configuration, snapshots, replication, encryption, performance tuning, and troubleshooting on OpenZFS (Linux and macOS). Use when the user asks to: create or manage ZFS pools, configure ZFS datasets and properties, set up snapshots or replication (zfs send/recv), tune ZFS performance (ARC, recordsize, compression, special vdevs), troubleshoot degraded/faulted pools or scrub errors, set up ZFS encryption, plan storage architecture with ZFS, or any other ZFS/zpool/zfs administration task.

ClawHub Agent Skills author: mightybyte v1.0.0 8 files · 1 script body ≈ 1 186 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorData and analyticsSecurityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
91
Run on models
none yet
Process rating
B
66/100
Nearly there
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/platform-notes.md:141
      Starts a background / autostarted process
      systemctl enable zfs-mount.service
    • low Dangerous commands cmd-background-process references/platform-notes.md:142
      Starts a background / autostarted process
      systemctl enable zfs-import-cache.service

    Files scanned: 8. 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 66/100

    • 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. 5 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 5 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1186 tokens

    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 547: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This ZFS administration skill is legitimate and coherent, but it contains powerful storage commands users must review carefully before running.
    LLM: benign (high) · VirusTotal: benign · 27 May 2026