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usage

Show what sharp costs in tokens and what it delivered, to judge its return on investment. Reads exact usage from local session transcripts; private to this machine.

ソース情報

リポジトリ
pipeshub-ai/sharp
ソースの最終更新活動
2026年10月15日 19:46
検出された SKILL.md の言語
英語
スター
4
フォーク
0

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SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
usage
description
Show what sharp costs in tokens and what it delivered, to judge its return on investment. Reads exact usage from local session transcripts; private to this machine.
argument-hint
[days, default 30]
disable-model-invocation
true
allowed-tools
Bash(node ~/.sharp/bin/sharp.mjs *)
# /sharp:usage: cost and return Measured locally over the last 30 days (if `$ARGUMENTS` names a different number of days, re-run `node ~/.sharp/bin/sharp.mjs tokens <days>`): ```! node ~/.sharp/bin/sharp.mjs tokens 30 2>/dev/null || echo "{}" ``` Write a short report (12 lines or fewer) in plain words: 1. **What sharp cost:** the notes it added (as a share of all tokens) and the extra replies it asked for, such as change summaries (tokens and share). Add the overall overhead share. Show dollars only if prices are set; otherwise say how to set them in one line. 2. **Learning you chose:** tokens spent in `/sharp:` commands. This is time you chose to invest, not overhead. 3. **What it delivered:** irreversible actions stopped for your decision, decisions recorded and looked back on, lessons saved, past lessons brought back when relevant, and how often practised lessons were applied correctly. 4. **One line of judgment:** is the overhead small relative to what it delivered? If overhead is high and value low, suggest a concrete setting change (for example `/sharp:mode light` or `#ship`). If fewer than 10 turns were measured, say the numbers are too early to judge. Never invent numbers that aren't in the data. ## How to write - Plain words. Define "token" once (a small chunk of text the AI reads or writes; cost scales with tokens). - Never mention hooks or other internals.
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