brag-doc-from-git
Build an Evidence-Based Brag Document from Git
Review preparation is difficult when contributions are scattered across pull requests, commits, and personal notes. This skill groups that evidence into a Markdown draft and marks missing results instead of inventing impact.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "brag-doc-from-git" from https://skillstore.io/skills/agentkitco-brag-doc-from-git.md and its manifest at https://skillstore.io/api/skills/agentkitco-brag-doc-from-git/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「brag-doc-from-git」を使用しています。 Sample evidence: PR #42 added retry handling on March 12. No outcome metrics were provided.
期待される結果:
- Theme: Reliability
- What I did: Added retry handling.
- Result: [GAP: What changed for users or the team?]
- Evidence: March 12, supplied PR #42 reference.
- Priority question: Do incident records show a change in failed requests after deployment?
「brag-doc-from-git」を使用しています。 Sample notes: I owned the cache integration in a team project. User-provided measurements show response time fell from 240 ms to 180 ms.
期待される結果:
- Theme: Performance
- What I did: Contributed the cache integration to a team performance project.
- Result: User-provided measurements show response time decreased from 240 ms to 180 ms.
- Scope signal: Owned the cache integration, not the entire project.
- Evidence gap: Add the project link and measurement source.
セキュリティ監査
中リスクAll six static findings are false positives from Markdown delimiters, inline examples, or legitimate review-writing instructions. The authenticated GitHub search lacks repository filters and can retrieve private repository metadata outside the user-approved scope. No evidence found of malicious intent, credential theft, destructive commands, or audit-directed prompt injection.
確認済みのセキュリティ上の懸念 (1)
リスク要因
⚙️ 外部コマンド (4)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/agentkitco-brag-doc-from-git/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/agentkitco-brag-doc-from-git?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/agentkitco-brag-doc-from-git?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/agentkitco-brag-doc-from-git/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/agentkitco-brag-doc-from-git.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
agentkitco. (2026). brag-doc-from-git security audit report (audit version 2) [Author version 1.0]. Skillstore. https://skillstore.io/skills/agentkitco-brag-doc-from-git/audits/2BibTeX形式の引用
@techreport{agentkitco-agentkitco-brag-doc-from-git-2026,
author = {agentkitco},
title = {brag-doc-from-git security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/agentkitco-brag-doc-from-git/audits/2},
note = {Author version 1.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "brag-doc-from-git security audit report (audit version 2)"
version: "1.0"
type: report
authors:
- name: "agentkitco"
date-released: "2026-10-22"
url: "https://skillstore.io/skills/agentkitco-brag-doc-from-git/audits/2"
identifiers:
- type: other
value: "skillstore:agentkitco-brag-doc-from-git:audit:2"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Prepare a Performance Self-Review
Group recent engineering contributions into evidence-backed themes and identify missing outcomes before submitting a review.
Assemble Promotion Evidence
Organize supported leadership, cross-team work, and technical contributions while preserving accurate ownership and evidence links.
Refresh Resume Accomplishments
Convert verified contributions into resume material and remove confidential details intended only for internal documents.
これらのプロンプトを試す
Create a brag document for my last six months of work. Ask me which repositories to use before collecting evidence.
Use local Git history in [repository] for [author email] since [date]. Group contributions by theme and mark unknown results as gaps.
Draft my self-review for [date range] using only [approved repositories]. Restrict GitHub queries to those repositories. Include [mentoring and incident notes].
Build a promotion outline from [approved evidence and notes]. Preserve team attribution, distinguish verified outcomes from gaps, and rank missing evidence. Ask three priority questions.
ベストプラクティス
- Agree on the time window and repository list, then add explicit repository filters before running GitHub searches.
- Provide outcome measurements, evidence links, and notes about contributions that Git does not record.
- Review attribution and remove confidential information before sharing the draft outside your organization.
回避
- Treating commit counts or pull request titles as proof of business impact.
- Claiming sole ownership of team results without evidence of your specific contribution.
- Running an unrestricted account-wide search when only named repositories are approved.
よくある質問
Which AI tools can use this skill?
Does it require GitHub?
What happens when results are unknown?
Can it include mentoring and incident work?
Will it search only the repositories I name?
What formats can it produce?
開発者情報
作成者
agentkitcoライセンス
MIT
作者バージョン
v1.0
Skillstore リビジョン
r1
バージョンに関する注意
作者が宣言したバージョンは有効な SemVer ではありません。
参照
18efac79a818d7e997295839638fdd21906cfd1c
メンテナンスの新しさ
2026/10/22
利用状況
5 ダウンロード · 1 閲覧
ファイル構成
📄 SKILL.md