AD coding-philosophy
Insights about refactoring intuitive code, when to impose structure vs let feeling lead, and code as creative expression. Born from building a game across 10 iterations by feeling, then stepping back to see what emerged. Rooted in three principles: fallibilism (dead code is archaeology, not shame), relational ontology (code is communication with future-you and other minds), and play (feeling-first is how you discover what you're actually building).
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 49/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 21 mutating operations with no state check
- 40Consistency. Frontmatter name (coding-philosophy) differs from the folder (nyx-archive-coding-philosophy)
- 60Tools and files. Uses tools (git) that frontmatter does not declare
- 100Steps. 77 steps
- 100Failures and branches. 4 branches, has a failure section
- 100Execution cost. Instruction body is 3875 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 15 top-level sections: this looks like several domains in one skill
- high The skill tells the model to perform an irreversible action with no human approval
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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 452: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 77 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.