SKILLEMALL.ai

AC atomic-habits

James Clear's "Atomic Habits" — an executable toolkit for building good habits, breaking bad ones, and mastering the tiny behaviors that lead to remarkable results. Covers 5 use cases: ① Habit Building — ("How do I start a new habit" "How to make exercise a daily routine") ② Habit Breaking — ("How to stop procrastinating" "How to quit bad habits for good") ③ Identity Change — ("How to become a different person" "How to change my self-image") ④ Environment Design — ("How to make good habits easy" "How to design my home for success") ⑤ System Thinking — ("How to stop relying on motivation" "How to build systems that work") Trigger when users say: "How to build a habit" "How to break a bad habit" "Atomic Habits" "James Clear" "Tiny changes" "1% improvement" "Habit stacking" "Identity-based habits" or mention: habits / behavior change / habit loop / cue-craving-response-reward / four laws of behavior change / make it obvious / make it attractive / make it easy / make it satisfying.

ClawHub Agent Skills author: BestBooks v1.0.0 MIT-0 8 files body ≈ 2 248 tokens Open the sourceclawhub.ai analyzed 30 h ago

James Clear's "Atomic Habits" — an executable toolkit for building good habits, breaking bad ones, and mastering the tiny behaviors that lead to remarkable…

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

GeneratorPersonal 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
58/100
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: 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 58/100

    • 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. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (atomic-habits) differs from the folder (atomic-habits-james-clear)
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Execution cost. Instruction body is 2248 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 992: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 19 example trigger phrases
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 32 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 is a content-only Atomic Habits guidance skill with some broad activation and branding instructions, but no code, credentials, persistence, or data access behavior.
    LLM: benign (high) · VirusTotal: · 8 Jun 2026