SKILLEMALL.ai
GitHub ↗ RU Sign in

BF alphagbm-duan-analysis

Duan-Yongping-style seller playbook for any ticker: Sell Put at your "willing buy" price, Covered Call for yield enhancement, and a Panic-Buy context read off current VIX. The response is three tightly-scoped analysis cards — not a generic options screener — derived from the specific framework that made Duan Yongping famous in Chinese retail investing (seller-only, rent-collection logic, never a buyer of options). Triggers: "Duan Yongping style AAPL", "sell put NVDA willing to buy at 120", "covered call yield TSLA", "should I sell AAPL put here", "seller strategy MSFT", "Duan-style analysis", "premium collection setup", "nationalist seller playbook"

ClawHub Agent Skills author: Clement Gu v1.0.0 MIT-0 2 files body ≈ 1 000 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Duan-Yongping-style seller playbook for any ticker: Sell Put at your "willing buy" price, Covered Call for yield enhancement, and a Panic-Buy context read off…

As a process F 41/100 · Will not run — References files that are not bundled: ../alphagbm-vix-status/, ../alphagbm-options-score/, ../alphagbm-options-strategy/

Proceduretype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: ../alphagbm-vix-status/, ../alphagbm-options-score/, ../alphagbm-options-strategy/
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: 0. 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: ../alphagbm-vix-status/
  • warning missing-ref reference to a missing file: ../alphagbm-options-score/
  • warning missing-ref reference to a missing file: ../alphagbm-options-strategy/
  • note frontmatter-key unknown frontmatter key "globs"

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: ../alphagbm-vix-status/, ../alphagbm-options-score/, ../alphagbm-options-strategy/
  • 0Tools and files. 3 referenced file(s) missing: ../alphagbm-vix-status/, ../alphagbm-options-score/, ../alphagbm-options-strategy/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1000 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

  • +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
  • +5Description quotes 9 example trigger phrases
  • +3Description length 657: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This appears to be a narrowly scoped financial-options guidance skill, with usability caveats but no evidence of hidden execution, data access, persistence, or exfiltration.
LLM: benign (medium) · VirusTotal: · 1 Jul 2026