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BF AI前沿哨兵

AI情报追踪系统 + 大数据业界洞察双引擎。当用户需要追踪AI领域动态、生成AI晨报/晚报时使用。触发词：AI情报、AI哨兵、AI资讯、AI动态、科技新闻、论文追踪、开源项目追踪、晨报、晚报。**大数据洞察模块**：大数据洞察、数据中台、湖仓一体、数据治理、荣耀对标、华为OPPOvivo数据平台。

ClawHub Agent Skills author: xiaopeng v2.1.0 MIT-0 38 files body ≈ 1 861 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 31/100 · Will not run — References files that are not bundled: 链接

ProcedureInfrastructuretype 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%
100
Quality 40%
58
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: 链接
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: 38. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: 链接
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: 链接
  • 0Tools and files. 1 referenced file(s) missing: 链接
  • 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
  • 40Consistency. Frontmatter name (AI前沿哨兵) differs from the folder (ai-intelligence-sentinel)
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 1861 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
  • -220 emoji in the instructions: noise for the model
  • -33 of 4 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 149: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This AI news-reporting skill mostly matches its purpose, but it needs user review because it mixes broad web collection with optional credentials, insecure browser token storage, arbitrary feed fetching, and a cross-skill script execution path.
LLM: suspicious (high) · VirusTotal: · 29 May 2026