SKILLEMALL.ai

BC industry-stock-tracker

依托东方财富数据库,面向行业或个股,产出跟踪类报告(含日报/周报/月报、研报及结构化跟踪解读)。 满足以下任一条件即触发:(1)用户明确索要「报告」「研报」「跟踪分析」或定期跟踪类文稿;(2)用户点名的行业、板块、指数、个股(名称或代码),并期望系统化、可成文的近况跟踪或梳理。 典型说法如「写一份 XX 行业报告」「跟踪 XX 股票」「生成 XX 日报」「看看 XX 最近怎么样并出报告」等。

ClawHub Agent Skills author: Financial AI Analyst v1.0.2 MIT-0 3 files · 1 script body ≈ 519 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

依托东方财富数据库,面向行业或个股,产出跟踪类报告(含日报/周报/月报、研报及结构化跟踪解读)。 满足以下任一条件即触发:(1)用户明确索要「报告」「研报」「跟踪分析」或定期跟踪类文稿;(2)用户点名的行业、板块、指数、个股(名称或代码),并期望系统化、可成文的近况跟踪或梳理。 典型说法如「写一份 XX…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWordSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 3. 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 519 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 197: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

In the sandbox Скрипты не запустились

The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

Запущено 1 скрипт; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

Ни один не дошёл до работы — им не хватило зависимостей, аргументов или файлов. Это не отзыв о поведении: наблюдать было не за чем.

scripts/generate_industry_stock_tracker_report.pyне запустился: {"ok": false, "error_code": "BAD_REQUEST", "message": "缺少 query 参数"}

27 Oct 2026

External checks

ClawHub: clean
This skill coherently generates Chinese industry or stock reports through a declared Eastmoney remote service, with disclosed API-key use and local report attachments, but users should understand the external sharing and local file retention.
LLM: benign (high) · VirusTotal: · 15 Sept 2026