一键在 Manus 中运行任何 Skill

feedback-to-issue

星标25

分支3

更新时间2026年6月26日 07:09

Capture, review, and file a bug report or feedback as a GitHub issue under the user's OWN account. Use whenever the user wants to report a bug, give feedback, file an issue, or review collected feedback about loop-builder or a loop it generated. Sanitizes private content and requires explicit consent before any public issue is filed.

安装

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在 Manus 中运行

来源

AaronLPS

AaronLPS/loop-builder

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在 Manus 中运行

Feedback to Issue

Capture feedback locally, then — only on the user's explicit yes — file a clean, sanitized GitHub issue under the user's own account (via their gh session, or a prefilled browser URL). Nothing is auto-filed.

The full step-by-step flow, guarantees, sanitization rules, dedupe, consent gate, and the generated-loop opt-in hook live in the reference. Load it on demand:

references/feedback-to-issue.md — the complete playbook (capture → list-open → cluster → draft → dedupe → sanitize → mandatory consent gate → file → mark-filed), plus the maintainer label setup and the generated-loop hook snippet.

Bundled deterministic tooling lives in scripts/feedback/ (red-green tested under scripts/tests/). Invoke it with python3 scripts/feedback/cli.py <subcommand>.

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name	feedback-to-issue
description	Capture, review, and file a bug report or feedback as a GitHub issue under the user's OWN account. Use whenever the user wants to report a bug, give feedback, file an issue, or review collected feedback about loop-builder or a loop it generated. Sanitizes private content and requires explicit consent before any public issue is filed.

Feedback to Issue

The full step-by-step flow, guarantees, sanitization rules, dedupe, consent gate, and the generated-loop opt-in hook live in the reference. Load it on demand:

references/feedback-to-issue.md — the complete playbook (capture → list-open → cluster → draft → dedupe → sanitize → mandatory consent gate → file → mark-filed), plus the maintainer label setup and the generated-loop hook snippet.

Bundled deterministic tooling lives in scripts/feedback/ (red-green tested under scripts/tests/). Invoke it with python3 scripts/feedback/cli.py <subcommand>.