SKILLEMALL.ai
GitHub ↗ RU Sign in

BF finance-news-warmap

金融/行业「新闻作战地图」构建 skill。把真实搜索新闻按经纬度落点，生成 Palantir 风格、可离线双击打开的单文件 HTML（ECharts 地理散点 + 中国/世界切换 + 可筛选可悬停 + 右侧数据驱动「建议区」）。配套 search→compile→fill 流水线，把每个细分领域自动补满 N 条真实新闻并去重，绝不编造数据。触发：做新闻情报地图、作战地图、创新动态地图、搜新闻自动补满、给高管出趋势与建议面板、要离线自包含 HTML 交付物。**调用前须由 agent 执行 WebSearch 联网能力探测（不可用则中止，不编造/不占位；此为 agent 侧流程约束，非代码强制断言）。所有库/字体/地图数据均随技能本地分发并在构建时内联，运行时无任何 CDN/外部请求。**

ClawHub Agent Skills author: zsd v0.1.0 MIT-0 12 files body ≈ 2 589 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

金融/行业「新闻作战地图」构建 skill。把真实搜索新闻按经纬度落点，生成 Palantir 风格、可离线双击打开的单文件 HTML（ECharts 地理散点 + 中国/世界切换 + 可筛选可悬停 + 右侧数据驱动「建议区」）。配套 search→compile→fill 流水线，把每个细分领域自动补满 N…

As a process F 33/100 · Will not run — References files that are not bundled: assets/echarts.min.js, assets/world.json, assets/china.json

ProcedureExcelSupabaseAI and agentsSoftware developmenttype 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
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
59
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: assets/echarts.min.js, assets/world.json, assets/china.json
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.

Obfuscation 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 files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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 Obfuscation uni-mixed-script-word references/assets/china.json:1
    Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (6 occurrences)
    {"type":"FeatureCollection","features":[{"type":"Feature","id":"710000","properties":{"id":"710000","cp":[121.509062,24.044332],"name":"台湾","childNum":6},"geome…

Files scanned: 11. 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: assets/echarts.min.js
  • warning missing-ref reference to a missing file: assets/world.json
  • warning missing-ref reference to a missing file: assets/china.json
  • warning missing-ref reference to a missing file: assets/xlsx.full.min.js
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/echarts.min.js, assets/world.json, assets/china.json
  • 0Tools and files. 4 referenced file(s) missing: assets/echarts.min.js, assets/world.json, assets/china.json
  • 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. 3 mutating operations with no state check
  • 100Steps. 65 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2589 tokens
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 349: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 65 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
The skill is mostly transparent and purpose-aligned, but users should review it because it turns web-derived data into executable HTML without clear sanitization and includes optional remote database synchronization.
LLM: suspicious (medium) · VirusTotal: · 15 Aug 2026