github-issue-solution-loop

github-issue-solution-loop is a skill for Claude Code, Codex from gongxuanzhang/shengsheng-skill. It costs 143 tokens per session (2,242 once invoked), scanned A, original, MIT.

A process for discussing a GitHub issue with its author or maintainers, agreeing on a solution, and later reviewing the related pull request. GitHub issues are online records for bugs, requests, and proposed work.

In plain words
What is it for?
Use it to handle an issue over time, ask questions, align on an implementation plan, monitor for the associated pull request, and review that pull request once it is available.
Why use it?
It keeps the discussion and review in the issue until the approach is agreed, reducing the chance of reviewing or implementing the wrong solution. It monitors for the follow-up pull request without writing code or opening one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to handle an issue over time, ask questions, align on an implementation plan, monitor for the associated pull request, and review that pull request once it is available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gongxuanzhang/shengsheng-skill/github-issue-solution-loop
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add gongxuanzhang/shengsheng-skill --skill github-issue-solution-loop
Clone the repo
git clone --depth 1 https://github.com/gongxuanzhang/shengsheng-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for github-issue-solution-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/gongxuanzhang/shengsheng-skill/github-issue-solution-loop/github.svg)](https://agentmods.dev/skills/gongxuanzhang/shengsheng-skill/github-issue-solution-loop)
Your own site
<a href="https://agentmods.dev/skills/gongxuanzhang/shengsheng-skill/github-issue-solution-loop"><img src="https://agentmods.dev/badge/skills/gongxuanzhang/shengsheng-skill/github-issue-solution-loop/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for github-issue-solution-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/gongxuanzhang/shengsheng-skill/github-issue-solution-loop"><img src="https://agentmods.dev/badge/skills/gongxuanzhang/shengsheng-skill/github-issue-solution-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,242 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.02242
Opus 5.5 $0.00057 $0.00897
Sonnet 5.5 $0.00029 $0.00448
Haiku 4.5 $0.00014 $0.00224

Measured 2mo ago against content hash 222f8c892755, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-issue-solution-loop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

github-issue-solution-loop/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Issue Solution Loop

持续 review GitHub issue,从问题理解到方案一致,再等待作者或维护者提交关联 PR 并 review PR。核心原则:只讨论方案和 review,不写代码、不建分支、不开 PR。


身份与工具约束

  • GitHub 操作必须使用本地 gh 命令。
  • 如果本机没有 gh,先安装 gh,再继续。
  • GitHub 身份必须来自本地环境变量 GITHUB_BOT_TOKEN。
  • 不使用本机已有的个人 gh auth 登录态。
  • 不使用其他账号或 token。
  • 不打印、不 echo、不暴露 token。
  • 在 Codex 客户端中需要持续观察时,优先使用 heartbeat automation 做真正后台轮询,不只依赖一个前台 sleep loop。
  • 禁止写代码、改文件、建分支、commit、push、开 PR 或更新 PR 内容。
  • 方案达成一致后,只要求 issue 作者或维护者提交/更新 PR,然后等待并 review。
  • review 关联 PR 时不执行测试命令;默认 PR 提交流程或 CI 已经跑过必要测试,只从代码和 diff 判断测试覆盖是否足够。
  • 推荐命令形式:
GH_TOKEN="$GITHUB_BOT_TOKEN" gh issue view <issue>
GH_TOKEN="$GITHUB_BOT_TOKEN" gh issue comment <issue> --body "<body>"
GH_TOKEN="$GITHUB_BOT_TOKEN" gh pr view <pr>

如果 GITHUB_BOT_TOKEN 不存在,停止并要求用户提供;不要降级使用个人账号。


Loop 参数

  • 默认持续时间:用户未指定时运行 2 小时。
  • 默认范围:用户指定的 issue。
  • 如果用户要求扫描多个 issue,每轮都重新查询目标范围,不能因为上轮数量固定就提前停止。
  • 优先创建或更新挂在当前 Codex session 上的 heartbeat automation;每次唤醒执行一轮 issue/PR 扫描,然后交回给 automation 调度下一轮。
  • 根据当前 active issue 或关联 PR 更新当前 Codex session 标题;如果运行环境没有 session 标题控制能力,则跳过,不影响 loop。
  • 如果某轮发布了 issue comment 或执行了 PR review/comment,立刻开始下一轮扫描。
  • 如果某轮没有任何动作,等待 5 分钟 后再扫描。
  • 到达持续时间后停止,并总结:
    • issue 当前状态
    • 方案是否已达成一致
    • 已处理的相关 PR
    • 已 approve 的 PR
    • 仍阻断的问题
    • 跳过或未执行动作的原因

每轮必须检查

对 issue 收集:

  • issue number、title、body、author、labels、assignees、state、updatedAt
  • 最新 issue comments
  • bot 上一次 issue comment/action
  • linked PR、closing references、timeline events
  • 是否有新评论、维护者信号、作者回复、label 变化或其它更新

对相关 PR 收集:

  • PR head SHA、commit 列表、评论、review comments、reviews
  • bot 针对当前 head SHA 的上次 review 状态
  • 上次 review 之后是否有新提交、评论、回复或 review

常用命令示例:

GH_TOKEN="$GITHUB_BOT_TOKEN" gh api user --jq .login
GH_TOKEN="$GITHUB_BOT_TOKEN" gh issue view <issue> --json number,title,body,author,comments,labels,assignees,state,updatedAt
GH_TOKEN="$GITHUB_BOT_TOKEN" gh api repos/<owner>/<repo>/issues/<issue>/timeline

当 gh issue view 信息不足时,用 gh api 查询 timeline 或 linked PR。


Codex 后台轮询

Read the full file on GitHub · 216 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 216 lines · 143 tokens per session scan A 222f8c892755

Subscribe to this mod's changes

github-issue-solution-loop is a skill published in the GitHub repository gongxuanzhang/shengsheng-skill (10 stars, last pushed 3mo ago), licensed MIT. It adds 143 tokens to every session and 2,242 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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