SKILLEMALL.ai

AB hologres-uv-compute

Hologres UV/PV computation using Dynamic Tables and RoaringBitmap for real-time deduplication at scale. Use for building incremental UV/PV pipelines, RoaringBitmap-based user deduplication, flexible time-range UV aggregation, and text-to-int UID encoding for bitmap compatibility. Triggers: "hologres uv", "hologres pv", "roaringbitmap", "rb_build_agg", "rb_or_agg", "去重", "UV计算", "用户去重", "bitmap去重", "实时UV", "hg_id_encoding"

ClawHub Agent Skills author: francis v0.2.0 MIT-0 6 files body ≈ 2 630 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 70/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
70/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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: 6. 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 70/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 15 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2630 tokens
    • 100Running it twice. Mutating operations check current state
    • 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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 425: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This skill is a coherent Hologres analytics guide, but its examples can create persistent database objects and user-ID mappings if run against a real database.
    LLM: benign (high) · VirusTotal: · 29 May 2026