SKILLEMALL.ai

AD ofw-fpx

Access OurFamilyWizard (OFW) — messages, calendar, expenses, journal — from a shell with the fpx CLI (@fetchproxy/cli) instead of running the ofw-mcp server: capture the signed-in web app's Bearer token once via the browser bridge, then curl the REST API directly. Use when you want OFW data without the MCP, in a script, or on a machine where the MCP isn't installed.

ClawHub Agent Skills author: chrischall v2.16.1 MIT-0 3 files body ≈ 1 050 tokens Open the sourceclawhub.ai analyzed 3 d ago

Access OurFamilyWizard (OFW) — messages, calendar, expenses, journal — from a shell with the fpx CLI (@fetchproxy/cli) instead of running the ofw-mcp server…

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentsPersonal productivitytype 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
D
48/100
Unfinished process
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 48/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 9 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 100Steps. 6 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1050 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 368: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 6 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: suspicious
    The skill is transparent about its purpose, but it gives broad direct access to sensitive OurFamilyWizard records using a browser session token and an unpinned globally installed helper.
    LLM: suspicious (high) · 10 Sept 2026