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Lexi

Skill jazz1x/honne/skills/lexi

Lexicon axis standalone — extract high-frequency vocabulary, code-switching ratio, onomatopoeia. Triggers: "my vocabulary", "lexicon", "word habits", "speech patterns".From its SKILL.md

Install
npx -y skills add jazz1x/honne --skill lexi

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 5 commands, including `bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" scan --base-dir ".honne" --scope "$SCOPE"` and 4 more.

SKILL.md

2.6 KB, 429 tokens by cl100k_base, as published. Nobody here has run it

lexi — Lexicon Axis

Standalone lexicon extraction and analysis. Uses the unified honne CLI, presents findings, records claims.

Step 1: HITL (scope + locale)

Ask for scope (repo/global) AND locale (ko/en/jp). Set SCOPE and LOCALE variables from the replies.

Step 2: Scan

bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" scan --base-dir ".honne" --scope "$SCOPE"

Step 3: Axis extract

bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" axis run lexicon --scan .honne/cache/scan.json --locale "$LOCALE"

Step 4: Review JSON

Read JSON output — review candidate_claim, quotes, insufficient_evidence fields.

Step 5: HITL accept/reject/edit

Present candidate claim with sample quotes, ask (y/n/edit):

  • y: proceed to Step 6
  • n: record rejection — bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" record claim --base-dir ".honne" --type rejection --axis lexicon --scope "$SCOPE" --text "$candidate"; skip to done
  • edit: user provides revised text, use as claim

Step 6: Record claim

bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" record claim --base-dir ".honne" --type claim --axis lexicon --scope "$SCOPE" --text "$claim"

Step 7: Check past rejections

Avoid re-proposing: bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" query --base-dir ".honne" --type rejection --tag lexicon --scope "$SCOPE"

Progress monitoring — use Monitor until-loop (never sleep N && cat):

# ✓ Monitor: until [ -f ".honne/cache/.axis_lexicon.json" ]

Report saved to stdout + .honne/assets/claims.jsonl

What ships with it: 2 files

5.5 KB alongside SKILL.md

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.