SKILLEMALL.ai
GitHub ↗ RU Sign in

BF fanli-analyzer

［何时使用］当用户需要深度研判重要事件时；当用户说"分析这个事件""本周有哪些重要事件""范蠡视角解读"时；当检测到"事件研判""信号挖掘""闸门/管道/背离"等关键词时

ClawHub Agent Skills author: lj22503 v2.0.0 MIT-0 14 files body ≈ 1 992 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 31/100 · Will not run — References files that are not bundled: URL, URL1, URL2

AnalyzerInfrastructuretype 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%
57
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: URL, URL1, URL2
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: 14. 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: URL
  • warning missing-ref reference to a missing file: URL1
  • warning missing-ref reference to a missing file: URL2
  • note frontmatter-key unknown frontmatter key "created"
  • note frontmatter-key unknown frontmatter key "updated"
  • note frontmatter-key unknown frontmatter key "skill_type"
  • note frontmatter-key unknown frontmatter key "related_skills"
  • note frontmatter-key unknown frontmatter key "self_improvement"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: URL, URL1, URL2
  • 0Tools and files. 3 referenced file(s) missing: URL, URL1, URL2
  • 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 (fanli-analyzer) differs from the folder (lj22503-fanli-analyzer)
  • 100Steps. 42 steps
  • 100Execution cost. Instruction body is 1992 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 85: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -225 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This skill is not malware, but it should be reviewed because it can produce concrete trading instructions and asks for broad agent tools.
LLM: suspicious (high) · VirusTotal: · 29 May 2026