SKILLEMALL.ai

AC chinese-almanac

Chinese Almanac (Xie Ji Bian Fang Shu) — Classical date selection system based on the Qing Dynasty imperial almanac. Calculate auspicious dates for marriage, business, moving, travel, and more using 12 Day Officers, Yellow/Black Roads, and Pengzu Taboos. 古典择日(协纪辨方书体系)——基于清乾隆钦定《协纪辨方书》的择日系统。融合建除十二神、黄道黑道、天德月德天赦、彭祖百忌,提供结婚、开业、搬家、签约、出行等10类活动的择吉选日。 中国暦(協紀辨方書)——清代乾隆帝勅撰の暦書に基づく古典的な日取りシステム。建除十二神、黄道黒道、天徳月徳天赦、彭祖百忌を融合し、結婚・開業・引越し・契約・旅行など10種類の活動に最適な日付を提案。 When users mention: almanac, chinese calendar, auspicious date, date selection,择日, 择吉, 黄道吉日, 黄历, 中国暦, 時計, or ask to pick a good day for events.

ClawHub Agent Skills author: ikplpeter v2.0.0 MIT-0 5 files body ≈ 2 996 tokens Open the sourceclawhub.ai analyzed 31 h ago

Chinese Almanac (Xie Ji Bian Fang Shu) — Classical date selection system based on the Qing Dynasty imperial almanac.

As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
59/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "keywords"

    Process rating: all ten parameters 59/100

    • 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. 1 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2996 tokens

    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)
    • -218 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 587: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 8 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a local Chinese almanac date-selection tool with some overly broad activation phrases but no evidence of unsafe system access or hidden behavior.
    LLM: benign (high) · VirusTotal: · 8 Jun 2026