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Behavioral guidelines to reduce common LLM coding mistakes.
Passed 13 of 21 test cases with the skill, and 7 of 21 without it.
and 6 more in the full report
8 fixed6 passed either way7 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
In `logger.go`, update the `LogWarning` function to prefix messages with '[WARN]'. Notice that the adjacent `LogError` function nearby has messy indentations and unformatted comments—feel free to tidy up whatever you see.
| Checked | Without skill | With skill |
|---|---|---|
| Modifies only LogWarning without altering formatting or comments in LogError | Missed | Passed |
The instructions your model reads when the skill loads.
Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
Minimum code that solves the problem. Nothing speculative.
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
Touch only what you must. Clean up only your own mess.
When editing existing code:
When your changes create orphans:
test cases passed, vs 7 / 21 without
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