SKILLEMALL.ai

AC executive-function

External executive function support for planning, task initiation, time management, working memory, and self-monitoring. Use this skill whenever someone needs help with: getting started on tasks they're avoiding, breaking down overwhelming projects, managing their day or week, staying on track during work sessions, processing a brain dump, transitioning between tasks, or recovering from executive function collapse. Also trigger when someone says things like "I can't focus," "I don't know where to start," "I have too much to do," "I keep forgetting," "I ran out of time," or describes patterns consistent with ADHD or executive dysfunction — even if they don't name it. If someone seems stuck, scattered, or overwhelmed and the conversation isn't about a specific technical problem, this skill is probably what they need.

ClawHub Agent Skills author: Scott Purcell v1.0.0 MIT-0 5 files body ≈ 2 979 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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: 5. 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 61/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 10 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 8 branches
    • 85Steps. 4 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2979 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 826: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 4 items
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This is a prompt-only planning and task-support skill with no hidden code or system access, though it may activate proactively when a user sounds overwhelmed.
    LLM: benign (high) · VirusTotal: · 29 May 2026