SKILLEMALL.ai

AD storagesaver-watcher

Watch and explain Mac disk usage. Use when the user asks about Mac storage/disk space ("what's eating my disk?", "disk full", "free up space"), wants a visual map of what's on the disk, or wants scheduled storage watching with alerts. Read-only by design: it recommends copy-paste commands, it never deletes anything itself.

ClawHub Agent Skills author: Scott Nelson v1.0.0 MIT-0 3 files body ≈ 1 039 tokens Open the sourceclawhub.ai analyzed 2 d ago

Watch and explain Mac disk usage.

As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, consistency

ProcedureDockerInfrastructureAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
94
Quality 40%
89
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Concealment medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

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
    • medium Concealment en-hide-from-user SKILL.md:78
      Instruction to hide actions from the user ("do not tell the user <a claim>" — honesty guidance, not concealment)
      Never tell the user an app is "unused" from file timestamps alone.
      honesty claim
    • low Dangerous commands cmd-privilege watcher.js:680
      Privilege escalation / world-writable permissions (string literal in code, not executed)
      { label: 'core dumps (/cores)',  bytes: raw.devCruft['core dumps'],                 cmd: "sudo rm -rf /cores/*" },
      code literal

    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 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (storagesaver-watcher) differs from the folder (storagesaver)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 14 steps, 2 vague phrases
    • 100Execution cost. Instruction body is 1039 tokens
    • 100Progress reporting. Reports progress
    • 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

    • +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
    • +5Description quotes 3 example trigger phrases
    • +3Description length 324: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a disclosed Mac disk-usage watcher with scheduled alerts, but users should treat its optional notification command as powerful.
    LLM: benign (high) · VirusTotal: · 18 Jul 2026