SKILLEMALL.ai

AC imap-idle-watcher

Real-time email monitoring using IMAP IDLE — no OAuth, no token expiration. Sets up a persistent connection to any IMAP server (Gmail, Outlook, Yahoo, etc.) and triggers a user-defined command instantly when new email arrives. Runs as a systemd service with auto-reconnect. Use when: (1) setting up email-triggered automation, (2) watching an inbox for new messages in real-time, (3) replacing OAuth-based email polling that keeps breaking due to token expiry, (4) building email-to-webhook or email-to-script pipelines. NOT for: sending email, reading/parsing email bodies, or non-Linux systems without systemd.

ClawHub Agent Skills author: Axellageraldinc Adryamarthanino v1.1.0 MIT-0 8 files · 1 script body ≈ 996 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationGmailOutlookInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
99
Quality 40%
89
Run on models
none yet
Process rating
C
52/100
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Dangerous commands cmd-background-process scripts/setup_service.sh:230
      Starts a background / autostarted process
      systemctl enable "$SERVICE_NAME"

    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 52/100

    • 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. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 17 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 996 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
    • +3Output format is not stated: the model decides each time
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 612: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

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

    External checks

    ClawHub: suspicious
    This email watcher is not deceptive, but it installs a persistent service that can run arbitrary shell commands on incoming mail and may run with elevated local privileges.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026