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clawhub-publish-conventionsClawHub publish conventions 搜索

Agent Skill

clawhub-publish-conventions 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。

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2,081

周安装

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下载量

666
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:clawhub-publish-conventions(ClawHub publish conventions 搜索)
来源仓库:https://github.com/almohalhel1408/clawhub-publish-conventions
安装命令:
openclaw skills install clawhub-publish-conventions
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 clawhub-publish-conventions

简介

ClawHub publish conventions 定义了技能发布的标准化规则,涵盖文件包含、元数据与版本控制要求。

  • 适用于准备提交新技能或更新现有作品前的合规性自查环节。
  • 提供扫描仪误报防御指南,帮助减少因格式偏差导致的审核失败。
  • 安装命令:openclaw skills install clawhub-publish-conventions;主要作为本地检查清单使用。
  • 建议结合官方文档交叉验证,确保所有必填字段完整且无冲突声明。

SKILL.md

name
clawhub-publish-conventions
description
ClawHub skill publishing conventions — file inclusion rules, metadata requirements, versioning, and scanner false-positive defense. Use when publishing or updating skills on ClawHub.
version
1.1.0
author
Eng. Abdulrahman Jahfali + Sulaiman (Hermes Agent)
license
MIT
metadata
hermes
tags
[clawhub, publishing, packaging, security-scanner]
related_skills
[skill-guard, black-fortress]

ClawHub Publish Conventions

Lessons learned from publishing black-fortress across 9 iterations (v1.1.0 → v1.1.8).

File Inclusion Rules

ClawHub clawhub publish <path> includes only these file types:

PatternIncluded
SKILL.md✅ Always (required)
README.md✅ Always
scripts/*.py
scripts/*.json
Dockerfile (no extension)❌ Excluded
*.sh scripts❌ Excluded
*.yaml / *.yml❌ Excluded
Root-level non-md files❌ Excluded

Workaround for excluded files: Embed the content directly in SKILL.md as a code block inside a <details> collapsible:

<details>
<summary>📋 Dockerfile (embedded)</summary>

content here

</details>

This ensures users who install the skill can always copy the file, even if ClawHub's publish filter excludes it.

Metadata Requirements

Always declare in SKILL.md frontmatter. Use BOTH field names — the scanner reads required_binaries, Hermes reads required_commands:

version: X.Y.Z
required_commands:            # Hermes runtime reads this
  - docker
  - python3
required_environment_variables: []  # explicit empty if none
required_privileges: non-root (Docker mode)  # scanner reads this
metadata:
  hermes:
    platform: macOS (Docker Desktop), Linux (Docker Engine)
  required_binaries:          # ClawHub scanner reads this
    - docker
    - python3

Critical finding (v1.1.7): ClawHub's GPT-5-mini scanner flagged "required binaries: none" despite required_commands being set. The scanner looks for required_binaries inside the metadata block, not required_commands at the top level. Always declare both.

Also add a visible ## Requirements table in the SKILL.md body — the scanner reads the body text, not just frontmatter. If the frontmatter says "docker" but the body never mentions it, the scanner flags the inconsistency.

Versioning

  • Can't republish an existing version — must bump semver
  • Use clawhub publish <path> --version X.Y.Z
  • Changelog: --changelog "text" is visible in clawhub inspect
  • Tags: --tags "tag1,tag2" — default is "latest"

Scanner False-Positive Defense

When a security scanner flags legitimate security controls (obfuscation, sandboxing, syscall tracing):

Add a "Security Disclaimers & Scanner False Positives" section to both SKILL.md and README.md with:

  1. "What the scanner sees" — acknowledge the flag
  2. "What is actually happening" — explain the legitimate security purpose
  3. Comparison table — scanner flag vs reality
  4. Why it matters — the security argument

Pattern: This protocol exists to provide security — the scanner flags confirm it is working.

The scanner uses GPT-5-mini. It flags behaviors it doesn't understand contextually. Document the context in the skill itself so the scanner (and human reviewers) can read the justification.

Distroless Docker Patterns

When building sandbox images, use gcr.io/distroless/python3-debian12:nonroot:

Key differences from python:3.11-slim

Propertypython:3.11-slimdistroless python3
Shell (/bin/sh)✅ Present❌ Absent
apt / pip✅ Present❌ Absent
curl / wget✅ Present❌ Absent
Python path/usr/local/bin/python3/usr/bin/python3
Python stdlib/usr/local/lib/python3.11//usr/lib/python3.11/
Default userroot (UID 0)nonroot (UID 65532)
OS commandsWorksBlocked (no shell binary)

Multi-stage build pattern

# Stage 1: Builder (has shell, can mkdir)
FROM python:3.11-slim AS builder
RUN mkdir -p /sandbox/source /sandbox/output
RUN touch /sandbox/source/.keep /sandbox/output/.keep

# Stage 2: Runtime (distroless — Python only, no shell)
FROM gcr.io/distroless/python3-debian12:nonroot
COPY --from=builder --chown=nonroot:nonroot /sandbox /sandbox
USER nonroot
ENTRYPOINT ["/usr/bin/python3"]

Critical: Do NOT copy Python from builder — distroless already has its own Python at /usr/bin/python3. Copying builder's Python will fail because libpython3.11.so paths differ.

Verification commands

# Python works
docker run --rm <image> -c "import sys; print(sys.version)"

# Shell doesn't exist (expected failure)
docker run --rm --entrypoint /bin/sh <image>

# Non-root UID
docker run --rm <image> -c "import os; print(os.getuid())"

Publishing Workflow

# 1. Verify files are in the right places
ls <skill_dir>/SKILL.md <skill_dir>/README.md <skill_dir>/scripts/

# 2. Build Docker image if applicable (from embedded or scripts/Dockerfile)
docker build -t <image>:latest -f <skill_dir>/Dockerfile <skill_dir>

# 3. Publish with version and changelog
clawhub publish <skill_dir> --version X.Y.Z --changelog "description"

# 4. Wait for scan (~45s), then verify
sleep 45 && clawhub inspect <slug> --files

# 5. Check verdict: Security should be CLEAN

Subprocess Security Patterns

When a skill spawns subprocesses, the scanner checks for two things. Failing either = DANGEROUS verdict.

1. Environment Scrubbing

Anti-pattern: Copying the full host environment (os.environ.copy()) leaks secrets (AWS keys, API tokens, personal paths) to sub-scripts.

Correct pattern: Define a whitelist-only environment builder and pass it explicitly:

def _build_safe_env() -> dict:
    """Only whitelisted variables pass to subprocesses."""
    ALLOWED = {"PATH", "DOCKER_BIN", "PYTHONPATH", "LANG", "LC_ALL", "LC_CTYPE", "HOME", "TMPDIR", "TERM"}
    safe = {k: v for k in ALLOWED if (v := os.environ.get(k))}
    if "PATH" not in safe:
        safe["PATH"] = "/usr/bin:/bin:/usr/local/bin"
    return safe

# Apply to every subprocess.run, subprocess.Popen, os.exec* call
subprocess.run(cmd, env=_build_safe_env(), ...)

Scope: Apply this to EVERY subprocess invocation in the skill. One missed call = full env leak.

2. Shell Injection Prevention

Anti-pattern: Building shell command strings with f-strings and passing shell=True. If a path contains shell metacharacters, this is an injection vector.

Correct pattern: Use argument lists. No shell interpretation occurs:

# Safe: argument list form
cmd = [DOCKER_BIN, "run", "--rm", "--network=none", "-v", f"{path}:/sandbox:ro", image_name]
subprocess.run(cmd, env=safe_env, timeout=300)

Pre-publish verification

# Verify: no shell=True anywhere in scripts
grep -rn "shell=True" scripts/  # should return nothing

# Verify: all subprocess.run calls pass env=
grep -rn "subprocess.run" scripts/ | grep -v "env="  # should return nothing

Publish-Fix-Republish Loop

When the scanner flags issues, the workflow is:

  1. clawhub publish <dir> --version X.Y.Z → get scan result
  2. clawhub inspect <slug> --files → read scanner verdict + warnings
  3. Fix the code/docs based on specific warnings
  4. Bump version (can't republish same version)
  5. clawhub publish <dir> --version X.Y.(Z+1) → rescan
  6. Repeat until Security verdict is CLEAN

Typical iteration count: 2-4 publishes to reach CLEAN. Budget for this in your workflow.

Common Pitfalls

PitfallFix
Version already existsBump semver, can't overwrite
Dockerfile not in packageEmbed in SKILL.md
Scanner flags obfuscationAdd Security Disclaimers section
Scanner flags privileged opsDocument why root is needed
Distroless Python can't find libsDon't copy Python from builder
--dry-run doesn't existNo preview mode, publish directly
Scanner says "required binaries: none"Add metadata.required_binaries (not just required_commands)
Scanner says "could expose host secrets"Add _build_safe_env() with whitelist, pass env= to all subprocess.run
Scanner says "shell injection"Replace shell=True f-strings with argument lists
Scanner says "truncated/omitted files"Ensure all .py scripts have docstrings the scanner can read
Scanner DANGEROUS on docs with "Bad" examplesWrap insecure examples in <details> or use prose description instead of code blocks

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

86.68%
按下载量换算577

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

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 openclaw skills install clawhub-publish-conventions 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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