SKILLEMALL.ai

BF stock-research-team

股票分析技能(v4 简化版)。主 agent 单 agent 快速模式:westock-data 采集数据 + minimax__web_search 实时资讯(含🛡️ 监管/处罚/政策 hard rule)+ 综合建议。覆盖 A 股 / 港股 / 美股。Fork of `stock-research-team` (charonling, 1.0.0) 并大幅简化——不再支持多 agent 流水线。

ClawHub Agent Skills author: Tony v0.0.0 MIT-0 2 files body ≈ 593 tokens Open the sourceclawhub.ai analyzed 12 h ago

股票分析技能(v4 简化版)。主 agent 单 agent 快速模式:westock-data 采集数据 + minimaxwebsearch 实时资讯(含🛡️ 监管/处罚/政策 hard rule)+ 综合建议。覆盖 A 股 / 港股 / 美股。Fork of stock-research-team…

As a process F 31/100 · Will not run — References files that are not bundled: references/changelog.md, references/rating-criteria.md, references/market-rules.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/changelog.md, references/rating-criteria.md, references/market-rules.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
This is a copy of a skill from another catalog; the rating counts the canonical one: stock-research-team (ClawHub)

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: 2. 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: references/changelog.md
  • warning missing-ref reference to a missing file: references/rating-criteria.md
  • warning missing-ref reference to a missing file: references/market-rules.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/changelog.md, references/rating-criteria.md, references/market-rules.md
  • 0Tools and files. 3 referenced file(s) missing: references/changelog.md, references/rating-criteria.md, references/market-rules.md
  • 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-research-team) differs from the folder (tanteng-stock-research-debug)
  • 100Steps. 13 steps
  • 100Execution cost. Instruction body is 593 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

  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 202: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a disclosed stock-research workflow that uses market data and web search to produce investment analysis, with no executable code or persistence.
LLM: benign (high) · VirusTotal: · 27 Jul 2026