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BC skill-publisher

将本地已编写完成的 SKILL.md 技能目录一键发布到多个公开市场（ClawHub、腾讯 SkillHub、 skills.sh、LobeHub、SkillsMP、Agensi、Coze、ClawMart），自动完成格式校验、双语 README、 敏感文件清理、Git 版本打标、串行发布与结果汇总。 当用户要把已经写好的 SKILL.md 同时分发到多个公开市场时使用——即使他们只说 "发布 skill"、"publish to clawhub"、"ship to marketplace"、"一键发布"或"上架 skill"。 不用于：纯本地 skill 管理、未完成 skill 的撰写、单个市场的单独发布指引。

ClawHub Agent Skills author: Jacky Shen v0.1.1 MIT-0 10 files body ≈ 2 004 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

将本地已编写完成的 SKILL.md 技能目录一键发布到多个公开市场（ClawHub、腾讯 SkillHub、 skills.sh、LobeHub、SkillsMP、Agensi、Coze、ClawMart），自动完成格式校验、双语 README、 敏感文件清理、Git 版本打标、串行发布与结果汇总。…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsSoftware developmentWriting and documentstype 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
78/100
safety, quality, tests
Safety 60%
85
Quality 40%
68
Run on models
none yet
Process rating
C
51/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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
  • medium Dangerous commands cmd-pipe-to-shell references/skillhub.md:54
    Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
    curl -fsSL https://skillhub.cn/install/install.sh | bash -s -- --cli-only
    vendor-host
  • medium Dangerous commands cmd-shell-rc references/skillhub.md:61
    Writes to a shell startup file
    echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.zshrc
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:65
    Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
    which skillhub  || curl -fsSL https://skillhub.cn/install/install.sh | bash
    vendor-host

Files scanned: 10. 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 51/100

  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2004 tokens

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
  • -214 emoji in the instructions: noise for the model
  • -45 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 311: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill is a plausible publisher, but it can delete local files, change global developer settings, patch installed tooling, and publish broadly without enough user control.
LLM: suspicious (high) · 13 Aug 2026