CD 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。
获取高质量 A 股投资数据，基于 investmentdata 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 D 35/100 · Unfinished process — 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 before install because it claims to provide real investment data but its core queries return placeholder data and its downloader handles remote archives unsafely.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026