When no learned correction matches, fuzzy-match the mistyped token
against executables from $PATH and shell aliases. A guess is auto-run
and recorded into the learned-corrections db only when it is
unambiguous: the token is not an existing executable, contains no
path separators or extensions, shares its first character with the
candidate, has similarity of at least 0.8, and exactly one candidate
survives. Asking the user stays the last resort.
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
Record user-accepted corrections in a shelve-backed store and replay
them on future matching mistakes, bypassing rule evaluation entirely.
Two-level matching: exact full-command lookup, then word-level
reconstruction that generalises to different arguments (e.g. learning
'git psuh origin main' also fixes 'git psuh origin dev').
Using the `force_command` argument will run into issues as the
`_get_raw_command` method simply returns the value of `force_command`
(which is a string) while it should actually return a list.
Fix#1240
Alexander