SKILLEMALL.ai

AC 7-habits-covey

Stephen R. Covey's "The 7 Habits of Highly Effective People" — an executable toolkit for principle-centered living, from personal effectiveness to interdependent leadership. Covers 5 use cases: ① Personal Effectiveness — ("How to be more proactive" "How to take control of my life") ② Goal Setting — ("How to set meaningful goals" "How to prioritize what matters") ③ Time Management — ("How to stop being busy but unproductive" "How to focus on what's important") ④ Relationship Building — ("How to build trust" "How to communicate better") ⑤ Leadership — ("How to lead by example" "How to be a better manager") Trigger when users say: "7 Habits" "Stephen Covey" "Be proactive" "Begin with the end in mind" "Put first things first" "Think win-win" "Seek first to understand" "Sharpen the saw" "How to be more effective" "Principle-centered leadership" or mention: effectiveness / proactivity / habits / Covey / time management / emotional bank account / circle of influence / paradigm shift.

ClawHub Agent Skills author: BestBooks v1.0.0 MIT-0 8 files body ≈ 1 923 tokens Open the sourceclawhub.ai analyzed 2 d ago

Stephen R. Covey's "The 7 Habits of Highly Effective People" — an executable toolkit for principle-centered living, from personal effectiveness to…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedurePersonal productivitytype 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
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 8. 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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 33 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1923 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 991: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 21 example trigger phrases
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +1License stated

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

    External checks

    ClawHub: clean
    This appears to be a low-risk self-improvement coaching skill with somewhat broad activation language but no evidence of hidden access, persistence, credential use, or destructive behavior.
    LLM: benign (medium) · VirusTotal: · 8 Jun 2026