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Jekyll 博客发布流水线：按 Iris 文风（时间锚定开场、括号旁白、em-dash 转折、Key Stats 表格）生成文章， 附带 frontmatter（title / date / canonical_url / hreflang_ja / hreflang_ko / FAQ schema）、 多语言同步（en/ja/ko）、自动建内链。当用户说"写一篇博客"、"发新文章"、"同步日韩版本"时调用。

ClawHub Agent Skills author: Iris Wei v1.0.2 MIT-0 3 files body ≈ 1 389 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 38/100 · Will not run — References files that are not bundled: scripts/sync-i18n.py

ReferenceGitHubInfrastructureCustomer supporttype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: scripts/sync-i18n.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 2. 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")
  • warning missing-ref reference to a missing file: scripts/sync-i18n.py

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: scripts/sync-i18n.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/sync-i18n.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 55Failures and branches. 1 branches
  • 100Steps. 67 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1389 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

  • +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
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 207: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This appears to be a legitimate blog-publishing skill, but it can send drafts to external translation services and update a GitHub-backed site without clearly scoped consent controls.
LLM: suspicious (medium) · VirusTotal: · 20 Jun 2026