BF investment-data
获取高质量 A 股投资数据，基于 investment_data 项目。支持日终价格、涨跌停数据、指数数据等。每日更新，多数据源交叉验证。触发词：股票数据、A股数据、金融数据、量化数据、历史行情。
As a process F 35/100 · Will not run — References files that are not bundled: references/api.md, docs/faq.md
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/api.md - warning
missing-refreference to a missing file: docs/faq.md
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/api.md, docs/faq.md
- 0Tools and files. 2 referenced file(s) missing: references/api.md, docs/faq.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
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 741 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
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 98: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -216 emoji in the instructions: noise for the model
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 22 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.
External checks
ClawHub: suspicious
This skill should be reviewed because it presents itself as real investment-data tooling while core APIs return fake or placeholder data and its downloader extracts an unverified remote archive.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026