skill-ledger

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
@alibaba · no license declared
Token usage
Lean
Setup complexity
Guided setup
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
No special requirements
Permissions
  • Read-only
  • Write / modify
  • Shell exec
Network behavior
External requests
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 skill-ledger.preview
---
name: skill-ledger
description: 对 Skill 执行安全状态查看、默认快速扫描认证,以及用户确认后的深度扫描认证。 不要在面向用户的报告正文中列出快速扫描内部使用的具体扫描器名称。命令执行步骤可以使用精确参数。 | 用户意图…
category: ai
runtime: no special runtime
---

# skill-ledger output preview

## PART A: Task fit
- Use case: 对 Skill 执行安全状态查看、默认快速扫描认证,以及用户确认后的深度扫描认证。 不要在面向用户的报告正文中列出快速扫描内部使用的具体扫描器名称。命令执行步骤可以使用精确参数。 | 用户意图示例 | 模式 | 行为 | | --- | --- | --- | | “查看这个 skill 状态”“检查所有 skill 安全状态” | 状态查看 | 只运行 check 或 check --all,报告后停止 | makes outbound network calls. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “安全约束 / 模式解析 / 统一报告格式” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “对 Skill 执行安全状态查看、默认快速扫描认证,以及用户确认后的深度扫描认证。 不要在面向用户的报告正文中列出快速扫描内部使用的具体扫描器名称。命令执行步骤可以使用精确参数。 | 用户意图示例 | 模式 | 行为 | | --- | --- | --- | | “查看这个 skill 状态”“检查所有 skill 安全状态” | 状态查看 | 只运行 check 或 check --all,报告后停止 | makes outbound network calls. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “安全约束 / 模式解析 / 统一报告格式” 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, run shell commands; may access external network resources; usually needs no extra API key.

## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; 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: 对 Skill 执行安全状态查看、默认快速扫描认证,以及用户确认后的深度扫描认证。 不要在面向用户的报告正文中列出快速扫描内部使用的具体扫描器名称。命令执行步骤可以使用精确参数。 | 用户意图示例 | 模式 | 行为 | | --- | --- | ---…
  • 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 “安全约束”, “模式解析”, “统一报告格式”, “Phase 1:环境准备与状态查看”, 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 skill-ledger 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 “安全约束 / 模式解析 / 统一报告格式” 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 / shell-exec; 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.