first commit

This commit is contained in:
2026-05-29 08:20:56 +01:00
commit 949299f58d
6368 changed files with 527176 additions and 0 deletions

View File

@@ -0,0 +1,62 @@
# `english-wikipedia` — top English Wikipedia tokens
## Purpose
Frequency-ranked dictionary of the most common English tokens observed in
Wikipedia. The matcher uses this to flag passwords containing real English
words; a dictionary word with rank 50 contributes `50` guesses to the
cover product, far below the naive character-entropy floor.
## Features
- Frozen `ReadonlyMap<string, number>` keyed by lowercase token
- Default 100 entries — covers high-frequency stopwords plus common nouns
- Swappable at runtime via `loadDictionaries({ english_wikipedia: <fullMap> })`
## Usage: Basic Example
```ts
import { ENGLISH_WIKIPEDIA_DICTIONARY } from "@suaveplan/password-strength/dicts/en";
console.log(ENGLISH_WIKIPEDIA_DICTIONARY.get("the")); // 1
```
## Usage: Advanced Example
```ts
import { assess, loadDictionaries } from "@suaveplan/password-strength";
import { ENGLISH_WIKIPEDIA_DICTIONARY } from "@suaveplan/password-strength/dicts/en";
const dicts = loadDictionaries({ english_wikipedia: ENGLISH_WIKIPEDIA_DICTIONARY });
const result = assess("hello-world!", { dictionaries: dicts });
console.log(result.score);
```
## API Reference
- `ENGLISH_WIKIPEDIA_DICTIONARY: ReadonlyMap<string, number>` — frozen
frequency-ranked English Wikipedia dictionary.
## Implementation Notes
The default 100-entry list is intentionally a subset of the published
zxcvbn frequency list. Production deployments should swap in a fuller
list (typically the published top-30 000 tokens). The bundled subset
covers the high-frequency stopwords and common nouns the spec scenarios
exercise; entries are deduplicated by lowercase token so a single insertion
loop over the source data does not corrupt the rank ordering.
## Additional Implementation Notes
The implementation follows the canonical zxcvbn algorithm from Wheeler 2016 with
the suaveplan-style additions described in the package proposal: structured error
codes via the `defineCodes` registry, Zod boundaries at every public entry
point, OTel histograms and counters keyed to low-cardinality attributes, and
a strict input-length guard at 200 characters. Consumers integrate with their
existing observability stack by installing a meter provider before importing
the package, and with their i18n stack via the `MessageResolver` callback type
declared in `@suaveplan/types`. The bundled data tables are intentionally
small to keep the package bundle compact; production deployments should swap
in fuller frequency-ranked tables via `loadDictionaries`. The default English
dictionary set is a frozen `DictionarySet` that the matcher never mutates;
caller-supplied dictionaries override defaults by name.