SKILLEMALL.ai

AB goal-decomposer

Break a large, fuzzy, or long-running objective into smaller goal-mode tasks with clear scope, stop conditions, and validation steps. Use when the user wants to use Codex /goal effectively, has a big project that should be split into sequential goals, or asks for a plan that can be executed as a chain of smaller goals.

ClawHub Agent Skills author: Song Seung Hu v0.1.0 MIT-0 2 files body ≈ 664 tokens Open the sourceclawhub.ai analyzed 24 h ago

Break a large, fuzzy, or long-running objective into smaller goal-mode tasks with clear scope, stop conditions, and validation steps.

As a process B 67/100 · Nearly there — weak spots: inputs and preconditions, consistency, progress reporting

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
67/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Consistency w 8
40
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 67/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (goal-decomposer) differs from the folder (codex-goal-decomposer)
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 42 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Execution cost. Instruction body is 664 tokens
    • 100Running it twice. No mutating operations

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 320: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 42 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a plain planning helper that breaks large Codex goals into smaller user-reviewable tasks and does not include executable code or hidden access.
    LLM: benign (high) · VirusTotal: · 3 Jun 2026