SKILLEMALL.ai

AC hologres-bsi-profile-analysis

Hologres BSI(位切片索引)画像分析 Skill,用于用户画像和标签计算。 适用于 BSI 表设计、数据导入、属性标签+行为标签联合人群圈选、 GMV 分析、标签分布统计、Top K 查询、分桶并行计算等场景。 Triggers: "BSI", "位切片索引", "画像分析", "用户画像", "标签计算", "人群圈选", "行为标签", "bsi_build", "bsi_sum", "bsi_filter", "bsi_stat", "bsi_topk", "roaring bitmap profile", "标签圈人", "分桶计算"

ClawHub Agent Skills author: francis v0.2.0 MIT-0 5 files body ≈ 3 708 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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: 5. 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 58/100

  • 0Result and completion. Does not say what the result is
  • 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. 6 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3708 tokens
  • low 11 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 279: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a coherent Hologres BSI profile-analysis guide, with disclosed database write steps that users should review before running.
LLM: benign (high) · VirusTotal: · 29 May 2026