SKILLEMALL.ai

AC mikrotik-encyclopedia

MikroTik RouterOS documentation-first workflow for MikroTik-specific questions, troubleshooting, command planning, live CLI/API work, config review, log analysis, security review, performance tuning, and diagnostics. Use when the request is clearly about MikroTik or RouterOS: MikroTik devices, RouterOS, RouterBOARD, CAPsMAN, WinBox, RouterOS CLI/API/SSH access, or networking topics specifically in a MikroTik context such as firewall, NAT, filter/raw/mangle, bridge, switch, VLAN, DHCP, DNS, queues, wireless/WiFi, routing, packet flow, connection tracking, or device management. Do not use for generic networking theory, generic firewall design, or generic Linux router/admin work unless the MikroTik/RouterOS context is explicit.

ClawHub Agent Skills author: kklouzal v1.0.5 MIT-0 7 files body ≈ 1 671 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

ProcedureWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
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 · 0

    ✓ No critical or high findings

    Files scanned: 7. 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 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. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 55 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1671 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 734: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 55 items
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 2 scripts are documented

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

    External checks

    ClawHub: clean
    The skill appears to be a coherent MikroTik documentation and operations helper, but users should be aware it may fetch external docs and persist network notes in the workspace.
    LLM: benign (medium) · VirusTotal: · 29 May 2026