SKILLEMALL.ai

AA Plan

Plans tasks before execution: decides when to plan vs act directly, sizes plan depth to risk, and structures steps, estimates, and rollbacks. Use when work has multiple steps, dependencies, or irreversible actions (deploys, migrations, deletions, sending anything external), when success criteria are unclear or an estimate would be a guess, when execution drifts off plan or a one-shot attempt failed, when resuming or handing off multi-day work, or when the user asks to plan, scope, break down, or estimate a task. Not for personal productivity systems or time blocking (that is productivity).

ClawHub Agent Skills author: Iván v1.0.3 MIT-0 12 files body ≈ 3 671 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process A 86/100 · Runs to the end — weak spots: inputs and preconditions, running it twice

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
A
86/100
Runs to the end
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
100
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 86/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 9 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 45 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3671 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 14 top-level sections: this looks like several domains in one skill

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 596: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 45 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This skill is a planning helper that stores planning preferences and plan logs in a disclosed local folder, with no hidden installer, code execution, or data exfiltration behavior found.
    LLM: benign (high) · VirusTotal: · 26 Jul 2026