SKILLEMALL.ai

AC mobius

Talk to Loop (Möbius Loop) — the user's ranked queue of recurring tasks at mobiusprompt.com — over MCP. Use whenever the user mentions Loop or Möbius/Mobius, recurring tasks, routines, habits, chores, or todos ("what's on today?", "done with the workout", "add stretching three times a week"), or asks to connect, set up, or get access to Loop.

ClawHub Agent Skills author: Vitaly Kravtsov v1.0.0 MIT-0 3 files body ≈ 1 983 tokens Open the sourceclawhub.ai analyzed 2 d ago

Talk to Loop (Möbius Loop) — the user's ranked queue of recurring tasks at mobiusprompt.com — over MCP. Use whenever the user mentions Loop or Möbius/Mobius…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ReferencePersonal productivityAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
54/100
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 54/100

    • 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. 6 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1983 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

    • +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 344: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a disclosed Loop task-management integration with clear guardrails for credentials, browser access, and destructive actions.
    LLM: benign (high) · VirusTotal: · 29 Aug 2026