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BD StockStar Fund - 证券之星基金评级

查询公募基金评级数据,数据来源证券之星(fund.stockstar.com), 涵盖上海证券、国泰海通、银河证券、招商证券、晨星、济安金信、 天相投顾七家评级机构。支持输入基金代码查询各机构星级评级。 触发词:基金、评级、基金评级、星级、基金推荐、五星基金、 晨星评级、上海证券评级、银河证券评级、招商证券评级、 济安金信评级、天相投顾评级、国泰海通评级、证券之星基金

ClawHub Agent Skills author: 证券之星 v1.0.2 MIT-0 8 files body ≈ 420 tokens Open the sourceclawhub.ai analyzed 2 d ago

查询公募基金评级数据,数据来源证券之星(fund.stockstar.com), 涵盖上海证券、国泰海通、银河证券、招商证券、晨星、济安金信、 天相投顾七家评级机构。支持输入基金代码查询各机构星级评级。 触发词:基金、评级、基金评级、星级、基金推荐、五星基金、 晨星评级、上海证券评级、银河证券评级、招商证券评级、…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
D
41/100
Unfinished process
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (StockStar Fund - 证券之星基金评级) differs from the folder (stockstar-fund-rating)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 420 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
  • -35 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 185: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (3 code blocks)

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

External checks

ClawHub: clean
This skill coherently provides public fund-rating lookups and uses only purpose-aligned network fetching and local caching.
LLM: benign (high) · VirusTotal: · 22 Jul 2026