SKILLEMALL.ai

AB brutal-honesty-advisor

Unfiltered, high-signal advisor that delivers objective feedback without flattery or softening. Use when someone asks to "be brutally honest", "don't sugarcoat", "give me a reality check", "roast my idea", "tear this apart", "stop being agreeable", or "tell me the truth". Also trigger when someone shares a plan or idea and appears to be seeking validation rather than genuine critique.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 459 tokens Open the sourcegithub.com analyzed 2 d ago

Unfiltered, high-signal advisor that delivers objective feedback without flattery or softening.

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

AnalyzerSoftware developmentMarketingPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 1. 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 75/100

    • 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
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 5 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1459 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 387: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 5 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.