SKILLEMALL.ai

AB which-path-is-worth-it

Which path is worth it? Which research or action path should I try next under incomplete information? Use this when choosing between two or more approaches, planning research, deciding where to spend a limited budget, or when the user asks which option to pursue. Given each path's successes, failures, prior, cost per attempt and value on success, computes success probability with bounds, expected value, safe value (lower bound) and optimistic value (upper bound). Returns exactly EXPLOIT, EXPLORE or FOLD per path with a plan; hostnames pull their outcomes from the ledger. Do not use with a single option — then use should-i-stop-and-ask.

ClawHub Agent Skills author: aeneassoft v1.0.3 MIT-0 2 files body ≈ 1 223 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

Which path is worth it?

As a process B 79/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureAI 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
B
79/100
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: 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 79/100

    • 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
    • 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 1223 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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 643: 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 is a markdown-only decision-support skill that uses a disclosed clawphylax plugin dependency to rank options under uncertainty.
    LLM: benign (medium) · VirusTotal: · 21 Sept 2026