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BD clawmerge

OpenClaw workspace 备份/恢复/合并工具。 支持：完整备份、合并恢复（不覆盖已有）、Cron 任务备份、会话记录备份、配置导出。 新增：灾难备份包含系统配置 + workspace + sessions；恢复默认安全合并，避免误覆盖运行配置。 触发词：「备份」「恢复」「迁移」「换电脑」「导出配置」「合并记忆」「灾难备份」。 当 workspace 需要迁移、定期备份、或从另一台设备恢复时使用。

ClawHub Agent Skills author: sinoslug v4.0.2 MIT-0 18 files · 10 scripts body ≈ 1 844 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
97
Quality 40%
65
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-cron-mention scripts/backup-cron-tasks.sh:57
    Mentions editing / listing crontab
    if crontab -l &>/dev/null; then
  • low Dangerous commands cmd-cron-mention scripts/backup-cron-tasks.sh:58
    Mentions editing / listing crontab
    crontab -l > "$SYSTEM_CRONTAB_FILE"
  • low Dangerous commands cmd-cron-mention scripts/restore-task-scripts.sh:152
    Mentions editing / listing crontab (string literal in code, not executed)
    echo "  4. Verify cron jobs: crontab -l"
    code literal

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 45/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1844 tokens
  • 100Progress reporting. Reports progress
  • low 15 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -32 of 12 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 207: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (21 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This is a real backup/restore skill, but it handles credentials, sessions, cron, and package installation in ways that need careful review before use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026