check

AI Community
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
AI
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
88 / 100 · community maintained
Author / version / license
@qiniu · no license declared
Token usage
Lean
Setup complexity
Plug-and-play
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
No special requirements
Permissions
  • Read-only
  • Write / modify
Network behavior
Local-only
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview check-qiniu.preview
---
name: check
description: 开始时声明:"我正在使用 check skill 运行提交前检查。" 如果有未格式化的文件,列出文件清单并提示运行 gofmt -s -w . 修复。 如果失败,列出 vet/staticch…
category: ai
runtime: no special runtime
---

# check output preview

## PART A: Task fit
- Use case: 开始时声明:"我正在使用 check skill 运行提交前检查。" 如果有未格式化的文件,列出文件清单并提示运行 gofmt -s -w . 修复。 如果失败,列出 vet/staticcheck 报告的问题并给出修复建议。 如果任何步骤失败,停止并报告错误,给出修复建议。 有失败时列出具体错误和修复建议。 runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “执行步骤 / 步骤 1:代码格式化检查 / 步骤 2:静态检查” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “开始时声明:"我正在使用 check skill 运行提交前检查。" 如果有未格式化的文件,列出文件清单并提示运行 gofmt -s -w . 修复。 如果失败,列出 vet/staticcheck 报告的问题并给出修复建议。 如果任何步骤失败,停止并报告错误,给出修复建议。 有失败时列出具体错误和修复建议。 runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “执行步骤 / 步骤 1:代码格式化检查 / 步骤 2:静态检查” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: 开始时声明:"我正在使用 check skill 运行提交前检查。" 如果有未格式化的文件,列出文件清单并提示运行 gofmt -s -w . 修复。 如果失败,列出 vet/staticcheck 报告的问题并给出修复建议。 如果任何步骤失败,停止并报告…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “执行步骤”, “步骤 1:代码格式化检查”, “步骤 2:静态检查”, “步骤 3:单元测试”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name check directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “执行步骤 / 步骤 1:代码格式化检查 / 步骤 2:静态检查” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

Powered by GitHub Discussions. Sign in with GitHub to comment, react, or subscribe.