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CF racing-quant-ai

赛马量化AI选股系统，集成量化策略选股+个股智能推荐分析。从量化策略数据库筛选符合需求的策略，获取持仓个股，再进行深度分析，最终给出投资参考。触发词：量化选股，racing quant，策略选股，数据库选股，量化分析，AI选股。

ClawHub Agent Skills author: chenxyzcyxpp v1.10.1 MIT-0 31 files body ≈ 5 736 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: templates/stock-research-sop.md, references/technical-indicators-computation.md

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
C
67/100
safety, quality, tests
Safety 60%
82
Quality 40%
45
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: templates/stock-research-sop.md, references/technical-indicators-computation.md
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 18

✓ No critical or high findings

Medium and low: 18
  • low Secrets in code secret-password-literal references/position-sizing-optimization.md:20
    Hard-coded password / key literal (may be an example)
    user: 'display', password: 'display999!',
  • low Secrets in code secret-password-literal scripts/check_300308_detail.js:4
    Hard-coded password / key literal (may be an example)
    host: '47.121.180.199', port: 3306, user: 'display', password: 'display999!', database: 'db_strategy'
  • low Secrets in code secret-password-literal scripts/check_300308.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/check-json.js:7
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/check-table.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/desc-table.js:7
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/dump_holdings_tmp.js:6
    Hard-coded password / key literal (may be an example)
    user: 'display', password: 'display999!',
  • low Secrets in code secret-password-literal scripts/get-ml1-holdings.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/get-position-table.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/get-positions-json.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/get-positions.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/list-recommended.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/query_stgetf0001_full.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/query_stgetf0001_v2.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/query_stgetf0001.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/read-strategies.js:8
    Hard-coded password / key literal (may be an example)
    password: 'display999!',
  • low Secrets in code secret-password-literal scripts/scan_688146.js:6
    Hard-coded password / key literal (may be an example)
    user: 'display', password: 'display999!',
  • low Secrets in code secret-password-literal scripts/strategy-history-analysis.js:26
    Hard-coded password / key literal (may be an example)
    password: 'display999!',

Files scanned: 31. 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 body-long SKILL.md body ≈ 5736 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: templates/stock-research-sop.md
  • warning missing-ref reference to a missing file: references/technical-indicators-computation.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: templates/stock-research-sop.md, references/technical-indicators-computation.md
  • 0Tools and files. 2 referenced file(s) missing: templates/stock-research-sop.md, references/technical-indicators-computation.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 5736 tokens
  • 100Steps. 219 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -221 emoji in the instructions: noise for the model
  • -310 of 19 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 67 headings
  • +3Step-by-step instructions: 219 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (9 of 9)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.

External checks

ClawHub: suspicious
The skill is mostly a disclosed quant-analysis workflow, but it packages plaintext database credentials, live trading instructions, and production/admin runbooks that are too powerful for a stock-analysis skill.
LLM: suspicious (high) · 24 Jul 2026