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BF hekouwang-typora-theme-skill

会勇禾口王 · Typora 主题工程 Skill。维护「hekouwang」主题（中文长文浅色 + 深色）， 并提供一套可复用的主题工程方法：CSS 由 tokens.json 生成而非手写、构建时强制零 !important / 零 px 字号、从参照截图采样真实色值（而不是猜 配色）、用 fallback 基准探针验证字体是否真的上屏。 当需要：① 改 Typora 主题的配色/字号/行高/紧凑度/纸感；② 装主题或排查「改了 CSS 但 Typora 里没变化 / 字体没生效 / 主题菜单多出奇怪条目」；③ 按某个 App 或网站的观感做 一套新主题（采样它的真实色值）；④ 加深色版或新变体；⑤ 把主题发布到 theme.typora.io 时使用。 触发词：Typora 主题 / typora theme / 改主题配色 / 主题不生效 / 换肤 / Markdown 编辑器主题 / hekouwang 主题 / 主题字体没上屏 / 采样配色 / 做一套主题 / 提交 Typora 主题库。

ClawHub Agent Skills author: 会勇禾口王的AI笔记 v1.3.3 MIT-0 7 files body ≈ 847 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

会勇禾口王 · Typora 主题工程 Skill。维护「hekouwang」主题（中文长文浅色 + 深色）， 并提供一套可复用的主题工程方法：CSS 由 tokens.json 生成而非手写、构建时强制零 !important / 零 px 字号、从参照截图采样真实色值（而不是猜 配色）、用 fallback…

As a process F 40/100 · Will not run — References files that are not bundled: scripts/tokens.json, scripts/build.py

ProcedureSoftware developmentAI and agentstype 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
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
65
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: scripts/tokens.json, scripts/build.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

What is at stake

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

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read Write Edit Glob Grep

Files scanned: 7. 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/tokens.json
  • warning missing-ref reference to a missing file: scripts/build.py
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: scripts/tokens.json, scripts/build.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/tokens.json, scripts/build.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
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 847 tokens
  • 100Running it twice. No mutating operations

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
  • +2Single-language instructions
  • +3Description length 457: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

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

External checks

ClawHub: clean
This skill is a disclosed Typora theme-engineering guide whose file edits, builds, installs, font checks, and publishing steps fit its stated purpose.
LLM: benign (high) · VirusTotal: · 12 Aug 2026