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BC easy-openclaw

OpenClaw 配置优化向导。采用“第 0 层测试观测（可选）+ 前 3 轮优化 + 第 4 轮接入扩展”流程：基础推荐层（含联网搜索与权限模式）、渠道增强层（Discord/Feishu/Telegram 分支优化）、Skills 推荐层（可执行可跳过）、新增渠道接入引导（可跳过）。用于帮助用户快速完成 OpenClaw 初始化或优化配置。用户说到“优化 openclaw”“配置向导”“openclaw 初始化”“体验太差想一键整理配置”等场景时触发。

ClawHub Agent Skills author: 人工大黑 v1.0.0 MIT-0 12 files body ≈ 1 647 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureDiscordTelegramGitHubInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Exfiltration net-credential-use references/layer2-channels.md:50
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    3. 固定正查：`curl -s "https://discord.com/api/v10/channels/<channelId>" -H "Authorization: Bot $TOKEN" | jq '{id,guild_id,name,type,message,code}'`
    vendor-hostquoted
  • low Exfiltration net-credential-use references/layer2-channels.md:55
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    5. 固定反查：`curl -s "https://discord.com/api/v10/guilds/<guildId>/channels" -H "Authorization: Bot $TOKEN" | jq '.[] | select(.id=="<channelId>") | {id,name,type}'`
    vendor-hostquoted
  • low Obfuscation obf-hex-escape-chain references/layer3-skills.md:71
    Escaped/char-code string obfuscation (quoted — discussed, not commanded)
    - 核心文档：`https://github.com/slowmist/openclaw-security-practice-guide/blob/main/docs/OpenClaw%E6%9E%81%E7%AE%80%E5%AE%89%E5%85%A8%E5%AE%9E%E8%B7%B5%E6%8C%87%E5%8D%97.md`
    quoted
  • low Exfiltration net-credential-use references/troubleshooting.md:91
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s "https://discord.com/api/v10/channels/<channelId>" -H "Authorization: Bot $TOKEN" | jq '{id,guild_id,name,type,message,code}'
    vendor-host
  • low Exfiltration net-credential-use references/troubleshooting.md:99
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s "https://discord.com/api/v10/guilds/<guildId>/channels" -H "Authorization: Bot $TOKEN" | jq '.[] | select(.id=="<channelId>") | {id,name,type}'
    vendor-host

Files scanned: 12. 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 53/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 81 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1647 tokens
  • 100Running it twice. No mutating operations
  • low 14 top-level sections: this looks like several domains in one skill

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 230: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (9 of 9)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This appears to be a genuine OpenClaw setup helper, but it can handle credentials and make broad persistent changes, so users should review it carefully before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026