本文へ移動
cccskills
無料GitHub で公開

jev-office-gate

Add a Jev-powered decision and release gate after an office assistant generates a report, proposal, spreadsheet, document, or slide deck. Use for claim-to-evidence checks, narrow requirement decisions, risk triage, and human-review routing; do not use it to generate the deliverable or claim that Jev browsed or verified a URL.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md3.8 KB
  • agents/openai.yaml294 B
  • references/decision-patterns.md1.5 KB
  • references/input-schema.md1.5 KB
  • scripts/jev_office_gate.py10.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Jev Office Gate

Use Jev as a narrow judgment layer after an office assistant has produced a deliverable. Keep the producing assistant and Jev separate unless an actual product integration is verified.

Workflow

  1. Identify the deliverable and its release criteria. Preserve the user's requested format and office tool.
  2. Extract bounded review items. For citation review, each item needs a claim and an excerpt copied from the source. A URL alone is not evidence.
  3. Run deterministic checks outside Jev when relevant: file opens, links resolve, quoted text exists, dates and numbers match, formulas calculate, required sections exist, and document layout renders in the target application.
  4. Use Jev only for narrow questions with predefined choices. Prefer claim support, evidence disposition, contradiction/overclaim risk, requirement coverage, or routing priority.
  5. Apply explicit thresholds and route uncertain or consequential items to a human. Never treat model probability as calibrated truth without task-specific evaluation.
  6. Return a release table with the original item, deterministic findings, Jev probabilities, decision, reasons, and required human action. Keep the original generated file unchanged unless the user asked for edits.

Citation gate

Use scripts/jev_office_gate.py for repeatable claim-to-evidence review. Read references/input-schema.md when preparing its JSON input.

Default review questions:

  • Does the supplied excerpt support the full claim?
  • Is the supplied source suitable as a formal citation, supporting context, unusable, or in need of manual review?
  • Does the supplied claim/excerpt pair show an obvious semantic conflict or overclaim risk?

The default thresholds are starting points: support below 0.70, risk above 0.60, disposition confidence below 0.50, or any disposition other than formal_source routes the item to review. A selected contradiction or cannot_use result becomes an automatic rejection only when its option probability is at least 0.80. Calibrate these values on representative examples before automating release.

Other office decisions

For requirement coverage, row classification, or routing, read references/decision-patterns.md. Keep the state small and the answer space fixed. Split compound decisions into separate questions.

Boundaries

  • Jev does not fetch pages, test URL reachability, authenticate a source, or know whether an excerpt was copied correctly.
  • Do not call it a fact checker. Report that it judged the supplied state and choices.
  • Use code for exact arithmetic, dates, identifiers, string matching, link checks, file integrity, and spreadsheet formulas.
  • Avoid asking one question to combine relevance, freshness, authority, and factual support. Split these dimensions or handle deterministic parts in code.
  • Treat company statements as self-disclosure, not independent verification.
  • For legal, medical, financial, compliance, or externally binding decisions, Jev may prioritize review but must not be the final approver.
  • If Jev is unavailable or credentials are absent, preserve the same review table and mark the judgment columns for human review. Do not pretend the API ran.

Credentials

The helper reads TYPESAFE_API_KEY by default and also accepts JEV_API_KEY. Never place an API key in a document, prompt, source file, or saved review artifact.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

口播视频转录和口误识别。生成审查稿和删除任务清单。触发词:剪口播、处理视频、识别口误

日本語の概要は準備中です。原文の説明を表示しています。

Pluviobyte/rnskill1,6432026年9月21日 更新

将法天象地、同源巨大法相或角色力量显现的视觉参考制作成连续关键帧,再使用用户选择或可用的图生视频工具分段生成、检查和合成动作视频,不绑定成片平台。适用于本体与法相同框、领域展开、凝实与同步出招;不负责整部小说改编或普通图片轮播。

日本語の概要は準備中です。原文の説明を表示しています。

Pluviobyte/rnskill1,6432026年9月21日 更新

口播基础素材包生成。转录口播、识别口误、生成审核页;用户确认后剪出新视频,Agent 再基于剪后视频重新转写、AI 校对字幕,输出后续口播成片可用的 source_cut.mp4 和 subtitles.srt。触发词:剪口播、处理口播素材、准备口播素材、识别口误、基础素材包

日本語の概要は準備中です。原文の説明を表示しています。

Pluviobyte/rnskill1,6432026年9月21日 更新

口播视频成片 Skill。把文章/口播稿/SRT、剪后视频和 HTML/图片素材串成分镜稿、时间线预览和最终 MP4;成片比例和动画风格从用户配置读取,动画默认使用小黑风格。触发词:口播成片、做分镜稿、时间线预览、合成口播视频、导出竖屏MP4

日本語の概要は準備中です。原文の説明を表示しています。

Pluviobyte/rnskill1,6432026年9月21日 更新

自进化 skills。记录用户反馈,更新方法论和规则。触发词:更新规则、记录反馈、改进skill

日本語の概要は準備中です。原文の説明を表示しています。

Pluviobyte/rnskill1,6432026年9月21日 更新

dbs

無料

dontbesilent 商业工具箱主入口。双模式:任务前路由(你的问题该用哪个 skill)+ 任务后导航(刚做完诊断,下一步该干什么)。 触发方式:/dbs、/商业、「帮我看看」、「下一步怎么走」 Main entry point for dontbesilent business toolkit. Dual mode: pre-task routing + post-task navigation. Trigger: /dbs, "help me with my business", "what's next"

日本語の概要は準備中です。原文の説明を表示しています。

Pluviobyte/rnskill1,6432026年9月21日 更新

Pluviobyte のスキルをすべて見る

このスキルの問題を報告する