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BF stock-daily-analysis

LLM驱动的每日股票分析系统完整版 v2.1。支持A股/港股/美股智能分析、决策仪表盘、大盘复盘、板块分析、Agent问股、多渠道推送。提供技术面+基本面综合分析。触发词：股票分析、分析股票、每日分析、大盘复盘、板块分析、问股。

ClawHub Agent Skills author: same1317 v2.1.0 MIT-0 20 files · 3 scripts body ≈ 1 259 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

AnalyzerGitHubAI and agentsInfrastructuretype 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
78/100
safety, quality, tests
Safety 60%
92
Quality 40%
58
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: LICENSE
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration exfil-webhook-url scripts/notifier.py:379
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    url = f"https://api.telegram.org/bot{token}/sendMessage"
    quoted
  • low Exfiltration read-dotenv scripts/run.sh:24
    Reads a .env file (quoted — discussed, not commanded)
    echo "请执行: cd $PROJECT_DIR && cp .env.example .env"
    quoted
  • low Exfiltration read-dotenv scripts/setup.sh:49
    Reads a .env file (quoted — discussed, not commanded)
    echo "  2. cp .env.example .env"
    quoted
  • low Exfiltration read-dotenv scripts/update.sh:22
    Reads a .env file
    cp .env .env.backup.$(date +%Y%m%d_%H%M%S)

Files scanned: 20. 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: LICENSE

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: LICENSE
  • 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 (stock-daily-analysis) differs from the folder (stock-daily-analysis-v2)
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 1259 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 114: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -255 emoji in the instructions: noise for the model
  • -33 of 14 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (7 code blocks)

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

External checks

ClawHub: clean
This stock-analysis skill uses external market, AI, and notification services as advertised, with privacy and setup risks to review but no evidence of hidden or destructive behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026