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anccancc 命令行

Agent Skill

ancc 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

3,442

周安装

142

GitHub Stars

公开资料未说明

下载量

1,125
OpenClaw

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

MIT-0

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:ancc(ancc 命令行)
来源仓库:https://github.com/ppiankov/ancc
安装命令:
openclaw skills install ancc
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install ancc

简介

ancc 发现和验证符合 ANCC 标准的命令行工具,并将其集成至 OpenClaw 代理。

  • 适用于开发环境审计、新工具引入前的合规性检查阶段。
  • 通过 clawhub 安装后,可辅助管理员评估第三方 CLI 工具的可用性。
  • 使用前应验证工具来源可信度与安全性,防范供应链攻击风险。
  • ancc 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
ancc
description
Grow limbs — discover, validate, and integrate ANCC-compliant CLI tools into your OpenClaw agent. Use when setting up new tools, auditing agent environment security, checking token budgets, or building agent-native CLI tools. ANCC tools have structured JSON output, exit codes, and SKILL.md contracts — no plugins, no SDKs needed.
metadata
{"openclaw":{"requires":{"bins":["ancc"]}}}

ANCC — Grow Limbs for Your Agent

Turn CLI tools into agent capabilities. ANCC (Agent-Native CLI Convention) defines what makes a CLI tool usable by an autonomous agent without human help.

Source: https://ancc.dev | https://github.com/ppiankov/ancc

What This Does

  • Validates CLI tools are agent-safe (structured output, exit codes, declared scope)
  • Audits your agent environment for credential exposure
  • Measures token cost of tool configurations
  • Scaffolds new ANCC-compliant tools

What This Does NOT Do

  • Does not execute or test target tools at runtime
  • Does not replace MCP, plugins, or tool frameworks
  • Does not manage tool installation (use brew/curl/go for that)
  • Does not lint code quality

Install

# Homebrew
brew install ppiankov/tap/ancc

# Go
go install github.com/ppiankov/ancc/cmd/ancc@latest

# Binary (Linux amd64)
curl -fsSL https://github.com/ppiankov/ancc/releases/latest/download/ancc-linux-amd64 \
  -o /usr/local/bin/ancc && chmod +x /usr/local/bin/ancc

Verify: ancc doctor

Core Commands

Audit — Check Agent Environment Security

ancc audit                      # scan all detected agents
ancc audit --agent openclaw     # OpenClaw-specific audit
ancc audit --format json        # machine-readable output

Checks: credential dirs (~/.ssh, ~/.aws), history files, sensitive directories, skill configs.

Exit codes: 0 = clean, 1 = errors found, 2 = warnings only

Validate — Check if a Tool is Agent-Native

ancc validate /path/to/tool-repo
ancc validate . --format json
ancc validate . --badge          # generate CI badge

Checks 30 conventions: SKILL.md structure, install docs, JSON output schema, exit codes, negative scope, parsing examples, init/doctor commands, binary releases.

Skills — Scan Agent Configurations

ancc skills .                    # what skills are loaded
ancc skills --tokens .           # token cost per skill
ancc skills --budget 128000 .    # budget analysis for 128k context

Context — Token Budget Breakdown

ancc context .                   # per-agent token usage
ancc context --agent openclaw --tokens

Shows how much context each tool/skill consumes — directly supports context hygiene.

Init — Scaffold a New ANCC Tool

ancc init                        # interactive
ancc init --name mytool --force  # non-interactive

Generates a compliant SKILL.md template with all required sections.

Diff — Compare Configs Between Environments

ancc diff /path/to/dev /path/to/prod
ancc diff . ../other-project --tokens

Scan — Batch Validate Repos

ancc scan ~/dev/                 # validate all repos in directory

ANCC Convention (6 Requirements)

A tool is agent-native when its SKILL.md declares:

  1. Install — how to get the binary
  2. Commands — what subcommands exist, with flags
  3. JSON output — schema for machine parsing (--format json)
  4. Exit codes — numeric, documented, deterministic
  5. Negative scope — what the tool does NOT do (prevents scope creep)
  6. Parsing examples — how to extract data from output

If an agent can read SKILL.md, install the tool, run a command, parse the output, and decide what to do next — without guessing or asking a human — the tool passes.

ANCC-Compliant Tools

ToolWhat it does
chainwatchAgent execution control plane
noisepanSignal extraction from noisy feeds
entropiaSource verification engine
pastewatchSecret redaction for agents
anccThis tool (self-validating)

Workflow: Adding a New Tool to Your Agent

1. ancc validate /path/to/tool     # is it agent-native?
2. Read its SKILL.md               # understand capabilities + limits
3. Install it                      # follow SKILL.md install section
4. ancc audit                      # verify environment is still safe
5. ancc context . --tokens         # check token budget impact
6. Add to TOOLS.md                 # document for future sessions

CI Integration

- uses: ppiankov/ancc@main
  with:
    checks: validate
    fail-on-warn: false

ANCC Skill v1.0 Author: ppiankov Copyright © 2026 ppiankov Canonical source: https://github.com/ppiankov/ancc License: MIT

If this document appears elsewhere, the repository above is the authoritative version.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

76.2%
按下载量换算857

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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