SKILLEMALL.ai

AA should-i-stop-and-ask

Should I stop and ask the user? Is this task possible with what I have? Use this when a task is failing repeatedly, the same approach has been tried twice, no new evidence is appearing, a host is refusing you, or you are about to ask a vague "should I keep trying?". Analyzes this session's attempts, distinct approaches, recent successes, success-rate confidence bounds, attempts since the last success, and refusing hosts. Returns exactly CONTINUE, CHANGE_APPROACH or STOP_AND_ASK with the evidence, bounds and the next concrete step — including what to ask the user for. Do not use before the second failure.

ClawHub Agent Skills author: aeneassoft v1.0.3 MIT-0 2 files body ≈ 1 285 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

Should I stop and ask the user?

As a process A 81/100 · Runs to the end — weak spots: inputs and preconditions, running it twice

AnalyzerAI and agentstype 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
A
81/100
Runs to the end
Inputs and preconditions w 11
0
Running it twice w 4
30
Result and completion w 14
60
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: 2. 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 81/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 5 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 28 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1285 tokens
    • 100Progress reporting. Reports progress

    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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 611: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 28 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This skill is a narrow decision aid for repeated task failures and its plugin use is disclosed and aligned with that purpose.
    LLM: benign (high) · VirusTotal: · 21 Sept 2026