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BF stock-review

A-share market automated review and analysis system, generating daily market insights with Gemini AI, supporting publishing to Hugo blog and WeChat Official Account

ClawHub Agent Skills author: Leo Zhong v1.0.1 MIT-0 17 files body ≈ 3 149 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 50/100 · Will not run — References files that are not bundled: scripts/post_to_hugo.py

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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: scripts/post_to_hugo.py
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
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: 17. 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/post_to_hugo.py

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: scripts/post_to_hugo.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/post_to_hugo.py
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (stock-review) differs from the folder (stock-review-ai)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 38 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Execution cost. Instruction body is 3149 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 12 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)
  • +3Output format is not stated: the model decides each time
  • -35 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 164: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This skill does the advertised stock-report workflow, including AI analysis and optional publishing, with no evidence of hidden exfiltration or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026