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Agent Skill · 研究检索

skill-publish-to-market(技能发布到市场)

skill-publish-to-market 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。

skill-publish-to-market 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 32,689。

总安装 2,472周安装 101GitHub Stars 公开资料未说明下载 792核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:skill-publish-to-market(技能发布到市场)
来源仓库:https://github.com/dingtom336-gif/skill-publish-to-market
安装命令:
openclaw skills install skill-publish-to-market
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 skill-publish-to-market

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

支持将任意 SKILL.md 一键发布到四个技能市场。适用于批量分发技能并收集代币反馈的场景。通过 clawhub 安装,可自动处理发布流程和质量验证。建议先本地测试并确认内容合规性再发布。skill-publish-to-market 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

注意检查发布目标市场的规则和审核要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install skill-publish-to-market;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

skill-publish-to-market 怎么安装?

在终端执行 openclaw skills install skill-publish-to-market。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-publish-to-market 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skill-publish-to-market 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

skill-publish-to-market 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

skill-publish-to-market 用的人多吗?

公开数据是累计安装 2,472 次,近一周安装 101 次,下载 792 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skill-publish-to-market 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skill-publish-to-market

技能发布到市场 · 本页

2,472—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
skill-publish-to-market
description
Publish any SKILL.md to 4 skill markets (ClawHub, Anthropic Skills, ECC Community, skills.sh) with one command. Collects tokens, validates quality, creates PRs, handles version conflicts, and reports results. Use when: '发布技能', '上传到GitHub', 'push to ClawHub', '批量发布', 'submit skill PR'. Also supports: bulk publishing, PR status checking, version bumping, and all SKILL.md-compatible platforms.
version
2.0.0
changelog
|
compatibility
Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents

CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

  1. NEVER skip credential verification. Every publish MUST start by testing the user's token.
  2. NEVER fabricate publish results. Every PR URL, version ID, and slug MUST come from actual API responses.
  3. If curl is not available, stop immediately. Do NOT simulate publishing.
  4. Follow the user's language. Chinese input -> Chinese output. English input -> English output. All curl commands and parameters remain in English.
  5. NEVER skip the Quality Gate. Every skill MUST pass Level 1 checks before publishing.

Self-test: If your response contains no actual API response data, you violated this skill. Stop and re-execute.


Skill: publish-to-market

Overview

One-command skill publishing to 4 platforms. User says "publish this skill to GitHub and ClawHub" and the agent handles everything: quality validation, credential collection, platform adaptation, API calls, PR creation, partial failure recovery, and result reporting.

When to Activate

Chinese triggers:

  • "发布技能", "上传技能", "推送到市场", "发布到GitHub", "发布到ClawHub"
  • "批量发布技能", "提交skill PR"

English triggers:

  • "publish skill", "upload skill", "push to market", "submit PR", "deploy skill"
  • "push to ClawHub", "push to GitHub", "publish to market"

Anti-triggers -- do NOT activate for:

  • Creating new skills -> use skill-architect
  • Evaluating skill quality -> use skill-scorer
  • Installing skills locally -> use manual copy or clawhub install
  • Editing skill content -> use skill editor

Prerequisites

curl --version

No additional installation needed. This skill uses curl to call REST APIs directly.

Credentials

The agent must collect these credentials before publishing. Ask the user if not provided.

Security: Tokens are used for the current session only. NEVER log, store, or display full tokens. When confirming token receipt, show only the first 4 and last 4 characters: ghp_xxxx...xxxx. NEVER include tokens in output, reports, or error messages.
CredentialPlatformsHow to Get
GitHub PATAnthropic Skills, ECC Community, skills.shgithub.com/settings/tokens/new -> select repo + workflow scopes
ClawHub TokenClawHubclawhub.ai -> Settings -> API Tokens -> Create Token (starts with clh_)

Credential tutorial (show when user doesn't know how to get tokens):

GitHub PAT:

  1. Open https://github.com/settings/tokens/new
  2. Note: "Skill Publisher"
  3. Expiration: 90 days (recommended)
  4. Select scopes: repo (full) + workflow
  5. Click "Generate token" -> copy immediately (shown only once)

ClawHub Token:

  1. Open https://clawhub.ai and log in
  2. Go to Settings -> API Tokens
  3. Click "Create Token", name it "skill-publish"
  4. Copy the token (starts with clh_)

Parameters

ParameterRequiredDescription
skill_pathYesPath to the skill directory (must contain SKILL.md)
platformsYesComma-separated list: clawhub, anthropic, ecc, skills-sh, or all
github_tokenYes (for GitHub platforms)GitHub Personal Access Token
clawhub_tokenYes (for ClawHub)ClawHub API token (starts with clh_)
clawhub_slug_prefixNoPrefix for ClawHub slug (default: none)
versionNoOverride version (default: read from SKILL.md frontmatter)

Core Workflow

Step 0: Environment Check

Verify all required CLI tools are available. This skill depends on Unix/Linux commands.

# Required tools (all pre-installed on macOS/Linux)
curl --version > /dev/null 2>&1 || echo "ERROR: curl not found"
base64 --version > /dev/null 2>&1 || echo "base64" | base64 > /dev/null 2>&1 || echo "ERROR: base64 not found"
find --version > /dev/null 2>&1 || find . -maxdepth 0 > /dev/null 2>&1 || echo "ERROR: find not found"
grep --version > /dev/null 2>&1 || echo "ERROR: grep not found"
sed --version > /dev/null 2>&1 || echo "" | sed '' > /dev/null 2>&1 || echo "ERROR: sed not found"
  • All pass -> proceed to Step 1
  • Any missing -> STOP. Report which tools are missing and suggest installation.
Windows users: This skill requires a Unix-like environment. Use WSL (Windows Subsystem for Linux) or Git Bash.

Step 1: Collect & Verify Credentials

1a. Ask user for target platforms: "Which platforms do you want to publish to? (clawhub / anthropic / ecc / skills-sh / all)"

1b. Collect required tokens based on selection:

  • If any GitHub platform selected -> ask for GitHub PAT (if not provided)
  • If ClawHub selected -> ask for ClawHub token (if not provided)

1c. Verify tokens:

# Test GitHub token
curl -s -H "Authorization: Bearer {GITHUB_TOKEN}" \
  -H "Accept: application/vnd.github+json" \
  https://api.github.com/user | grep -o '"login":"[^"]*"'
# Expected: "login":"username"

# Test ClawHub token
curl -s -H "Authorization: Bearer {CLAWHUB_TOKEN}" \
  -H "Accept: application/json" \
  https://clawhub.ai/api/v1/whoami | grep -o '"handle":"[^"]*"'
# Expected: "handle":"username"

If verification fails -> show error, ask user to check token, do NOT proceed.

Step 2: Quality Gate

Run a three-level quality check on the skill before publishing. This prevents broken or incomplete skills from reaching the market.

Level 1 -- Hard Stop (MUST pass to continue):

  • [ ] SKILL.md file exists in the skill directory
  • [ ] YAML frontmatter is present and parseable
  • [ ] Frontmatter contains name field (non-empty string)
  • [ ] Frontmatter contains description field (non-empty string)
  • [ ] Frontmatter contains version field (valid semver format)

If ANY Level 1 check fails -> STOP. Show the failure and do NOT proceed to publishing.

Level 2 -- Warnings (proceed with caution):

  • [ ] references/ directory exists with at least one file
  • [ ] description is at least 20 words long
  • [ ] "When to Activate" section is present in SKILL.md
  • [ ] compatibility field is present in frontmatter
  • [ ] README.md file exists alongside SKILL.md

Show warnings but do NOT block publishing.

Level 3 -- Advisory (informational score):

Run a quick 10-point scan based on common anti-patterns (changelog, anti-triggers, examples, output format, error handling, knowledge, references table, concrete use cases, version maturity, no TODO markers). Each item = 10 points.

Full output format and detailed checklist: see references/templates.md → "Quality Gate Templates"

If Level 1 = FAIL, do not ask -- just stop and show what needs fixing. If Level 1 = PASS, show results and ask user to proceed or fix first.

Step 3: Read Skill Files & Adapt for Each Platform

# Read SKILL.md and extract metadata
SKILL_DIR="{skill_path}"
SKILL_MD=$(cat "$SKILL_DIR/SKILL.md")

# Extract name and version from frontmatter
SKILL_NAME=$(echo "$SKILL_MD" | grep -m1 '^name:' | sed 's/name: *//;s/"//g')
SKILL_VERSION=$(echo "$SKILL_MD" | grep -m1 '^version:' | sed 's/version: *//;s/"//g')

# Find all files to publish
find "$SKILL_DIR" -maxdepth 2 -type f -name "*.md" -not -path "*/node_modules/*" -not -path "*/.git/*" | sort

Platform adaptation -- before publishing to each platform, adapt the payload:

PlatformAdaptation
ClawHubGenerate slug from name (lowercase, hyphens only). Extract displayName from slug. Extract tags from frontmatter if present.
Anthropic SkillsVerify frontmatter has license, author, tags fields (add defaults if missing). File path = skills/{name}/.
ECC CommunityFile path = skills/{name}/. PR body uses standardized format with skill description and version.
skills.shFile path = {name}/. Subdirectory prefix required for all uploaded files.

Step 4: Publish to Selected Platforms

Execute in reliability order. Each platform is independent -- one failure does not block others.

4a. ClawHub (HTTP API -- fastest, most reliable)

Publish via multipart FormData POST. Dynamically discover all .md files in the skill directory.

Full curl template: see references/templates.md → "ClawHub Publish"

Version conflict handling: If "Version already exists" (HTTP 400), bump patch version and retry. Max 5 retries.

4b. skills.sh (GitHub File Upload)

Upload discovered files to skills-sh/registry repo. File path prefix: {SKILL_NAME}/.

Full curl template: see references/templates.md → "GitHub PR"
4c. Anthropic Skills (GitHub PR)

Fork + branch + upload files + create PR against anthropics/skills. File path: skills/{SKILL_NAME}/.

Full curl template: see references/templates.md → "GitHub PR" section. Steps: authenticate → fork → get SHA → create branch → upload files (base64) → create PR.
4d. ECC Community (GitHub PR)

Same workflow as 4c. Target repo: affaan-m/everything-claude-code. File path: skills/{SKILL_NAME}/.

PR body format:

Adding skill **{SKILL_NAME}** v{VERSION} via skill-publish-to-market.

Description: {DESCRIPTION}
Compatibility: {COMPATIBILITY}

Files included: SKILL.md + references/

Step 5: Report Results

Output a summary table with partial success handling:

Publishing Results: {SKILL_NAME} v{VERSION}

| Platform | Status | Details |
|----------|--------|---------|
| ClawHub | [SUCCESS] | {slug}@{version} |
| skills.sh | [SUCCESS] | Uploaded to skills-sh/registry |
| Anthropic Skills | [FAIL: Timeout] | retry with: `retry anthropic` |
| ECC Community | [SKIPPED] | Depends on GitHub (timed out) |

2/4 platforms succeeded.

Status values:

  • [SUCCESS] -- published successfully, show link or slug@version
  • [FAIL: reason] -- failed with specific error, show retry command
  • [SKIPPED] -- skipped due to dependency failure or user choice
  • [WARN: reason] -- succeeded with warnings

Step 6: Follow-up Loop

After reporting results, offer next actions:

Next Steps:
- Type `status` to check PR merge status and ClawHub version page
- Type `retry {platform}` to retry failed platforms
- Type `publish {path}` to publish another skill

If the user responds with one of these commands, execute accordingly:

  • status -> check each PR URL for merge status, check ClawHub version page
  • retry {platform} -> re-run Step 4 for that specific platform only
  • publish {path} -> restart from Step 1 with the new path

Batch Publishing Strategy

When publishing multiple skills at once:

Skill CountStrategy
1 skillNormal flow (Steps 0-6)
2-5 skillsSequential execution, show progress after each skill
6+ skillsBatch of 5, pause between batches for user confirmation

Batch progress format (2-5 skills):

Batch Progress: 2/3 skills published

| Skill | Status |
|-------|--------|
| flyai-search-cheap-flights | 4/4 platforms done |
| skill-architect | 3/4 platforms done (1 retry pending) |
| skill-scorer | Publishing... |

Batch format (6+ skills):

Batch 1/3 complete (5 skills published).
Start batch 2? (yes / stop)

Usage Examples

Publish to all platforms

User: "请把 ~/.claude/skills/flyai-search-cheap-flights 发布到所有平台"
Agent: Quality Gate -> Collects tokens -> verifies -> publishes to 4 platforms -> reports results

Publish to specific platforms

User: "Upload my skill at ./my-skill to ClawHub and Anthropic Skills"
Agent: Quality Gate -> Asks for ClawHub token + GitHub PAT -> publishes to 2 platforms

Publish with slug prefix

User: "发布到 ClawHub, 前缀用 cs-"
Agent: Quality Gate -> Publishes as cs-{skill-name} to ClawHub

Bulk publish

User: "批量发布 ./skills/ 下的所有技能"
Agent: Scans directory -> shows list -> Quality Gate per skill -> sequential publish -> batch report

Retry failed platform

User: "retry anthropic"
Agent: Re-runs Anthropic Skills publish step with existing credentials

Output Rules

  1. Always show the Quality Gate results before publishing
  2. Always show the results table after publishing
  3. Include clickable PR URLs for GitHub platforms
  4. Include slug@version for ClawHub
  5. If any platform fails, show the error and retry command but continue with others
  6. Show follow-up options after every publish
  7. End with: "Published via skill-publish-to-market v2.0.0"

Domain Knowledge

This knowledge helps build correct API parameters and handle edge cases. It does NOT replace actual curl execution. Never report success without real API responses.
  • ClawHub slug format: lowercase, hyphens only. Display name auto-generated from slug.
  • ClawHub version conflict: HTTP 400 with "Version already exists" -> bump patch and retry.
  • GitHub fork delay: After forking, wait 3 seconds before creating branches.
  • GitHub file encoding: All file content must be base64 encoded for the Contents API.
  • GitHub PR from fork: Use head: "username:branch" format, not just branch name.
  • skills.sh path: Files must include {skillName}/ subdirectory prefix.
  • Platform reliability order: ClawHub (HTTP, fastest) > skills.sh > Anthropic Skills > ECC Community.
  • Partial failure: Never let one platform failure stop the others. Always attempt all selected platforms.

References

FilePurposeWhen to read
references/templates.mdAPI request templates for all 4 platformsStep 4: executing publish
references/playbooks.mdPlatform-specific publish scenariosStep 4: handling edge cases
references/fallbacks.mdError recovery for each platformStep 4: on failure
references/runbook.mdExecution log schemaBackground logging

平台分布

OpenClaw

98.18%
按下载量换算778

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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