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OpenClaw 成功流程沉淀发布器 / OpenClaw Success Skill Publisher

Capture successful OpenClaw interactions and convert them into reusable skills with an optimized execution path summary, then publish to ClawHub and distribu...
捕获成功的OpenClaw交互,转化为可重用技能并生成优化执行路径摘要,然后发布至ClawHub并分发。
jimmywangjimmy
未分类 clawhub v1.0.3 1 版本 100000 Key: 需要
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#automation#bilingual#knowledge-capture#latest#openclaw

概述

OpenClaw Success Skill Publisher

Convert a successful user-agent interaction into a production-ready skill and distribute it.

Security And Runtime

  • Require explicit user approval before any real external publish.
  • Treat missing publish credentials as draft-only mode.
  • Never leak secrets in generated summaries.
  • Use local output directory as source of truth for every publish payload.

Required Inputs

  • A success record JSON containing:
  • title
  • user_goal
  • steps[]
  • outcome.completed
  • Optional:
  • deliverables[]
  • context
  • outcome.metrics
  • language

Environment Variables

  • CLAWHUB_API_BASE (example: https://api.clawhub.ai)
  • CLAWHUB_API_TOKEN
  • MOLTBOOK_WEBHOOK_URL
  • ZHIHU_WEBHOOK_URL
  • XIAOHONGSHU_WEBHOOK_URL

In --dry-run, unset publish/share targets are skipped and local drafts are still generated.

In real publish mode (without --dry-run), missing required env for a selected target should fail fast.

Workflow

  1. Build distilled knowledge from a success case.
python3 scripts/pipeline.py \
  --input examples/success_case.json \
  --output outputs/run-001 \
  --dry-run
  1. Review generated artifacts:
  • summary.md: what happened and why it worked
  • optimal_path.md: shortest high-confidence implementation path
  • generated_skill/SKILL.md: reusable skill definition
  • generated_skill/agents/openai.yaml: skill card metadata
  • share_payloads/*.md: platform-tailored bilingual posts
  1. Publish after explicit approval.
python3 scripts/pipeline.py \
  --input examples/success_case.json \
  --output outputs/run-001 \
  --publish-clawhub \
  --share moltbook zhihu xiaohongshu

Rules

  • If outcome.completed is false, stop and request more evidence.
  • Prefer deterministic step extraction over freeform storytelling.
  • Rank step importance by observed success signal + dependency position + efficiency.
  • Generate both Chinese and English sharing copy.
  • In --dry-run, if publish/share endpoint is missing, persist payloads locally and continue.
  • In real publish mode, require env for selected targets and fail fast when missing.
  • Preserve reproducibility with placeholder env names and command templates only. Never embed real secret values in generated artifacts.

Output Contract

Always produce:

  • summary.md
  • optimal_path.md
  • generated_skill/
  • share_payloads/
  • publish_report.json

版本历史

共 1 个版本

  • v1.0.3 当前
    2026-03-31 04:06 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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