AD cos-vector-bucket
腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS vector.
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
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: 21. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 39/100
- 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
- 30Running it twice. 7 mutating operations with no state check
- 40Consistency. Frontmatter name (cos-vector-bucket) differs from the folder (cos-vectors-skill)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 2182 tokens
- low 10 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)
- +3Output format is not stated: the model decides each time
- -217 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 202: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (20 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 17 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.
External checks
ClawHub: suspicious
This is a real Tencent COS vector-storage admin skill, but it defaults to insecure HTTP and allows high-impact cloud changes without strong safety controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026