SKILLEMALL.ai

BB the-subtle-art-of-not-giving-a-fck

Mark Manson's "The Subtle Art of Not Giving a Fck" — an executable toolkit for choosing what to care about, embracing discomfort, and living a values-driven life. Covers 5 use cases: ① Values Clarification — ("How to know what really matters" "How to stop caring about the wrong things") ② Embracing Discomfort — ("How to deal with pain" "How to get comfortable with being uncomfortable") ③ Overcoming Entitlement — ("How to stop feeling special" "How to accept that life is hard") ④ Building Better Habits — ("How to stop avoiding problems" "How to develop good values") ⑤ Dealing with Failure — ("How to handle rejection" "How to learn from failure instead of fearing it") Trigger when users say: "The Subtle Art of Not Giving a Fck" "Mark Manson" "Not giving a fck" "Stop caring what others think" "How to be happy" "How to stop being entitled" "Embrace discomfort" "Choose better values" or mention: Mark Manson / fck / entitlement / values / happiness / problems / suffering / feedback loop from hell / you are not special / subtlety.

ClawHub Agent Skills author: BestBooks v1.0.0 MIT-0 8 files body ≈ 2 234 tokens Open the sourceclawhub.ai analyzed 2 d ago

Mark Manson's "The Subtle Art of Not Giving a Fck" — an executable toolkit for choosing what to care about, embracing discomfort, and living a values-driven…

As a process B 68/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureWriting and documentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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

  • error description-long description is 1039 chars, limit 1024

Process rating: all ten parameters 68/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 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
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2234 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 1039: 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: 66.

External checks

ClawHub: clean
This is a text-only self-help skill with broad activation and blunt book-based advice, but it does not include code, persistence, credential access, or data exfiltration behavior.
LLM: benign (high) · VirusTotal: · 8 Jun 2026