Three independently ugly bugs that all fed the same log flood:
* Electron's `WebFrameMain.send` writes every "Render frame was disposed"
to stderr via `console.error`. When the worker fans a second
agent-event past a reloading renderer, we produced thousands of
identical lines and stalled the main loop on stderr I/O. Added a
`mainFrame.detached` guard so the send is short-circuited before
Electron's own catch block fires, and installed a targeted filter in
`suppress-warnings.ts` (now actually imported from the entry point)
so the specific `console.error("Error sending from webFrameMain:"…)`
noise never reaches the terminal. Any other payload still surfaces.
* `dispatchAgentMessage` accepted the human-reader sentinel as a wake
target when an agent replied to `__board__` — `wakeAgentIfPossible`
then called `db.getAgent("__board__")`, threw, and the dispatcher
kept repeating on every send. Strip `HUMAN_SENDER_ID` at
`resolveMessageWakeTargets`, and keep a defense-in-depth guard in the
heartbeat so a stray caller (future automation fan-out) cannot
reintroduce the crash.
* Pi's skills loader rejects any SKILL.md whose frontmatter `name`
diverges from its parent directory. The four bundled `my-writing-style`
copies declared `name: writing-style-skill`, so every install emitted
a warning and dropped the skill. They also lived as orphan gitlinks
(mode 160000 without .gitmodules), and the global `*.md` gitignore
hid every other SKILL.md from version control. Fixed the frontmatter
to match the dir, converted the dangling submodules to plain trees,
and allowlisted `builtin-skills/**/*.md` so a fresh clone carries the
catalogue instead of silently losing it.
137 lines
3.2 KiB
Markdown
137 lines
3.2 KiB
Markdown
---
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name: clean-names
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description: Use when naming, renaming, or fixing names of variables, functions, classes, or modules in Python. Enforces Clean Code principles—descriptive names, appropriate length, no encodings.
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---
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# Clean Names
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## N1: Choose Descriptive Names
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Names should reveal intent. If a name requires a comment, it doesn't reveal its intent.
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```python
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# Bad - what is d?
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d = 86400
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# Good - obvious meaning
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SECONDS_PER_DAY = 86400
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# Bad - what does this function do?
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def proc(lst):
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return [x for x in lst if x > 0]
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# Good - intent is clear
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def filter_positive_numbers(numbers):
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return [n for n in numbers if n > 0]
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```
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## N2: Choose Names at the Appropriate Level of Abstraction
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Don't pick names that communicate implementation; choose names that reflect the level of abstraction of the class or function.
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```python
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# Bad - too implementation-specific
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def get_dict_of_user_ids_to_names():
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...
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# Good - abstracts the data structure
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def get_user_directory():
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...
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```
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## N3: Use Standard Nomenclature Where Possible
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Use terms from the domain, design patterns, or well-known conventions.
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```python
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# Good - uses pattern name
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class UserFactory:
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def create(self, data): ...
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# Good - uses domain term
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def calculate_amortization(principal, rate, term): ...
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```
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## N4: Unambiguous Names
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Choose names that make the workings of a function or variable unambiguous.
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```python
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# Bad - ambiguous
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def rename(old, new):
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...
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# Good - clear what's being renamed
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def rename_file(old_path: Path, new_path: Path):
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...
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```
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## N5: Use Longer Names for Longer Scopes
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Short names are fine for tiny scopes. Longer scopes need longer, more descriptive names.
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```python
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# Good - short name for tiny scope
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total = sum(x for x in numbers)
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# Good - longer name for module-level constant
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MAX_RETRY_ATTEMPTS_BEFORE_FAILURE = 5
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# Bad - short name at module level
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MAX = 5
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```
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## N6: Avoid Encodings
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Don't encode type or scope information into names. Modern editors make this unnecessary.
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```python
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# Bad - Hungarian notation
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str_name = "Alice"
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lst_users = []
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i_count = 0
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# Good - clean names
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name = "Alice"
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users = []
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count = 0
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# Bad - interface prefix
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class IUserRepository:
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...
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# Good - just name it
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class UserRepository:
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...
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```
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## N7: Names Should Describe Side Effects
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If a function does something beyond what its name suggests, the name is misleading.
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```python
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# Bad - name doesn't mention file creation
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def get_config():
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if not config_path.exists():
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config_path.write_text("{}") # Hidden side effect!
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return json.loads(config_path.read_text())
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# Good - name reveals behavior
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def get_or_create_config():
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if not config_path.exists():
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config_path.write_text("{}")
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return json.loads(config_path.read_text())
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```
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## Quick Reference
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| Rule | Principle | Example |
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|------|-----------|---------|
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| N1 | Descriptive names | `SECONDS_PER_DAY` not `d` |
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| N2 | Right abstraction level | `get_user_directory()` not `get_dict_of_...` |
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| N3 | Standard nomenclature | `UserFactory`, `calculate_amortization` |
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| N4 | Unambiguous | `rename_file(old_path, new_path)` |
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| N5 | Length matches scope | Short for loops, long for globals |
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| N6 | No encodings | `users` not `lst_users` |
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| N7 | Describe side effects | `get_or_create_config()` |
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