BC why-cant-worlds-greatest-minds-solve-consciousness
A Blinkist article summary of "Why can't the world's greatest minds solve the mystery of consciousness?" — exploring the "hard problem of consciousness," the explanatory gap between brain activity and subjective experience, and why neuroscience alone hasn't cracked it. Covers 5 use cases: ① Understanding the Hard Problem — ("what is the hard problem of consciousness" "qualia" "subjective experience" "Chalmers") ② Major theories of consciousness — ("integrated information theory" "global workspace theory" "HOT theory" "panpsychism") ③ Why neuroscience isn't enough — ("explanatory gap" "brain vs mind" "neural correlates" "reductionism limits") ④ Consciousness & AI — ("can AI be conscious" "machine consciousness" "artificial general intelligence" "sentient AI") ⑤ Philosophical approaches — ("dualism vs materialism" "easy problems vs hard problem" "philosophy of mind") Trigger when users say: "consciousness" "hard problem" "qualia" "David Chalmers" "what is consciousness" "philosophy of mind" "subjective experience" "explanatory gap" "IIT" "global workspace" "panpsychism" "AI consciousness"
A Blinkist article summary of "Why can't the world's greatest minds solve the mystery of consciousness?" — exploring the "hard problem of consciousness," the…
As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- Shorten the description to 1024 characters.
- 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-longdescription is 1103 chars, limit 1024
Process rating: all ten parameters 62/100
- 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
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 31 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1707 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 1103: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +5Description quotes 32 example trigger phrases
- +4Structure: 7 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 5)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.