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研究检索执行命令github未标认证来源可访问许可证需确认审计通过

feedback-session反馈会议

Agent Skill

feedback-session 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

808

周安装

33

GitHub Stars

28

下载量

259
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:feedback-session(反馈会议)
来源仓库:https://github.com/laurigates/claude-plugins
仓库路径:skills/feedback-session
安装命令:
npx skills add https://github.com/laurigates/claude-plugins --skill feedback-session
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/laurigates/claude-plugins --skill feedback-session

简介

反馈会议技能用于分析当前会话中的技能使用反馈。

  • 可创建GitHub Issue跟踪Bug、改进点和积极实践模式。
  • 适合在发现技能指引错误或需要静态质量分析时使用。
  • 安装前需确认是否会触发命令执行或文件写入操作。
  • 建议结合项目上下文理解反馈的具体应用场景。feedback-session 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

/feedback:session

Analyze the current session for skill feedback and create GitHub issues to track bugs, enhancements, and positive patterns.

When to Use This Skill

Use this skill when...Use alternative when...
A skill gave wrong or outdated guidanceWant to update skills directly -> /project:distill
A command failed due to skill adviceNeed static skill quality analysis -> /health:audit
Discovered a better flag or patternWant to capture general learnings -> /project:distill
A skill worked particularly wellWant to track command usage stats -> /analytics-report
End of session, want to file feedbackNeed to fix a skill right now -> edit the SKILL.md directly
Feedback is about the plugin itselfUse --target-repo laurigates/claude-plugins to file against the plugin source

Known Limitations

IaC-managed labels: Some repositories manage GitHub labels declaratively via Terraform, Pulumi, or similar tools. In these repos, gh label create will either be forbidden or cause drift that the IaC tool destroys on the next apply. This skill detects this case and offers a graceful fallback (see Step 1).

Default target repo: By default, this skill files issues against the repository in the current working directory. If you are giving feedback about a plugin skill itself rather than the application code in the session, use --target-repo <owner/repo> to point at the plugin source repo.

Context

  • Git remotes:!git remote -v
  • Open feedback issues:!gh issue list --label session-feedback --state open --json number,title --jq '.[].title'
  • Open positive issues:!gh issue list --label positive-feedback --state open --json number,title --jq '.[].title'

Parameters

Parse these from $ARGUMENTS:

ParameterDescription
--dry-runShow findings without creating issues
--bugs-onlyOnly report bugs (wrong/outdated guidance)
--enhancements-onlyOnly report enhancement opportunities
--positive-onlyOnly report positive feedback
--target-repo <owner/repo>File issues against this repo instead of the cwd repo
-R <owner/repo>Alias for --target-repo
[plugin-name]Scope analysis to a specific plugin

After parsing, set $TARGET_REPO to the value of --target-repo/-R if provided. Append -R $TARGET_REPO to all gh commands below when $TARGET_REPO is set.

Execution

Execute this session feedback workflow:

Step 1: Resolve target repo and ensure labels exist

1a. Determine target repo

If --target-repo or -R was passed in $ARGUMENTS, set $TARGET_REPO to that value and append -R $TARGET_REPO to every gh command in the remaining steps.

If not provided, infer the repo from the cwd: gh repo view --json nameWithOwner -q '.nameWithOwner'. Use this as the implicit target (no -R flag needed since gh defaults to cwd).

1b. Check whether labels are IaC-managed

Run: gh label list -R $TARGET_REPO --json name,description --jq '.[].description' (omit -R if no explicit target).

Scan the output for IaC indicators in any label description:

  • Keywords: terraform, pulumi, cdk, managed by, do not create, iac, infrastructure

Also check for labels.tf in the cwd: look for files matching **/labels.tf or **/labels.yaml patterns using Glob.

If IaC indicators are found or labels.tf / labels.yaml exist in the working tree:

  • Display a warning: ` ⚠ IaC-managed labels detected in <repo>. The session-feedback and positive-feedback labels cannot be created via gh label create — they are managed declaratively and creating them out-of-band would cause drift. `
  • Use AskUserQuestion to ask: How would you like to proceed? Options: If user chooses option 2, set $TARGET_REPO to their input and re-run step 1b for the new repo. If user chooses option 3, exit. If user chooses option 1, set $SKIP_SESSION_LABELS=true and continue.

1. Proceed without session-feedback labels — issues will be created with only bug/enhancement labels; add the two labels to your IaC definition to backfill. 2. Use a different target repo — enter an owner/repo where you can create labels freely (e.g. laurigates/claude-plugins). 3. Abort — stop here.

1c. Create missing labels (only when not IaC-managed)

Skip this step if $SKIP_SESSION_LABELS=true.

  1. Check if session-feedback exists: gh label list --json name --jq '.[].name' | grep -q session-feedback
  2. If missing: gh label create session-feedback --description "Feedback from session analysis" --color "d876e3"
  3. Check if positive-feedback exists similarly.
  4. If missing: gh label create positive-feedback --description "Skills that worked well" --color "0e8a16"

Step 2: Analyze conversation history

Review the entire conversation for feedback signals. Look for these categories:

Bugs (label: session-feedback, bug):

  • Skill gave wrong command syntax or outdated flags
  • Command failed because skill guidance was incorrect
  • Skill recommended a pattern that caused errors
  • Skill was missing a critical caveat or prerequisite

Enhancements (label: session-feedback, enhancement):

  • Discovered a better flag or option than what the skill suggests
  • Found a workflow gap the skill should cover
  • Identified a missing pattern or integration
  • Found a more efficient approach than the skill recommends

Positive (label: positive-feedback):

  • Skill provided correct, effective guidance
  • Skill's agentic optimizations saved time
  • Skill's decision table correctly directed to the right tool
  • Skill's patterns worked well in practice

For each finding, record:

  • Category: bug, enhancement, or positive
  • Plugin: which plugin the skill belongs to
  • Skill: which specific skill
  • Description: what happened
  • Evidence: the specific interaction or error that demonstrates it

Filter by $ARGUMENTS:

  • If --bugs-only: only report bugs
  • If --enhancements-only: only report enhancements
  • If --positive-only: only report positive feedback
  • If [plugin-name] specified: only report for that plugin

Step 3: Deduplicate against open issues

For each finding, search for existing issues in $TARGET_REPO:

gh issue list --label session-feedback --search "<skill-name> <key-phrase>" --json number,title --jq '.[].title'

Skip findings that match an existing open issue title. Note skipped items for the summary.

If $SKIP_SESSION_LABELS=true, search without labels: gh issue list --search "feedback(<plugin>)" --json number,title --jq '.[].title'

Step 4: Present findings for review

Use AskUserQuestion to present categorized findings. Group by category:

Format each finding as:

[BUG] plugin-name/skill-name: brief description
[ENH] plugin-name/skill-name: brief description
[POS] plugin-name/skill-name: brief description

Let the user select which findings to file as issues (use multiSelect).

If --dry-run, present findings and stop here.

Step 5: Create approved issues

For each approved finding, create a GitHub issue in $TARGET_REPO:

Title format: feedback(<plugin-name>): <description>

Labels (when not $SKIP_SESSION_LABELS):

  • Bugs: session-feedback, bug
  • Enhancements: session-feedback, enhancement
  • Positive: positive-feedback

Labels (when $SKIP_SESSION_LABELS=true):

  • Bugs: bug
  • Enhancements: enhancement
  • Positive: *(no label — omit the --label flag)*

Body template:

## Skill

`<plugin-name>/skills/<skill-name>/SKILL.md`

## Category

<Bug | Enhancement | Positive feedback>

## Description

<What happened during the session>

## Evidence

<Specific interaction, error message, or successful outcome>

## Suggested Action

<What should change in the skill, or what should be preserved>

Create each issue:

gh issue create --title "feedback(<plugin>): <desc>" --label "<labels>" --body "<body>"

Append -R $TARGET_REPO when set. Omit --label if no labels apply (positive + $SKIP_SESSION_LABELS).

Step 6: Report summary

Print a summary:

MetricCount
Findings identifiedN
Duplicates skippedN
Issues createdN
Skipped by userN

List created issue numbers with links. If $SKIP_SESSION_LABELS=true, remind the user to add session-feedback and positive-feedback to their IaC label definition.

Agentic Optimizations

ContextCommand
List feedback issuesgh issue list --label session-feedback --json number,title,labels -q '.[]'
Search for duplicatesgh issue list --label session-feedback --search "keyword" --json title -q '.[].title'
Detect IaC label signalsgh label list --json name,description --jq '.[].description'
Check label existsgh label list --json name -q '.[].name'
Create labelgh label create name --description "desc" --color "hex"
Create issue (with target)gh issue create -R owner/repo --title "t" --label "l1,l2" --body "b"
Create issue (no labels)gh issue create -R owner/repo --title "t" --body "b"
Infer current repogh repo view --json nameWithOwner -q '.nameWithOwner'

Quick Reference

FlagDescription
--dry-runShow findings without creating issues
--bugs-onlyOnly bug reports
--enhancements-onlyOnly enhancement suggestions
--positive-onlyOnly positive feedback
--target-repo <owner/repo>File issues against a different repo (e.g. plugin source)
-R <owner/repo>Alias for --target-repo
[plugin-name]Scope to specific plugin

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.72%
按下载量换算95

Claude

28.89%
按下载量换算75

Cursor

19.25%
按下载量换算50

Gemini CLI

9.64%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/laurigates/claude-plugins --skill feedback-session 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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