SKILLEMALL.ai

AC time-cycles

当用户问时间周期(CRB 10.5 个月、28 天交易周期、季节性)、用"波峰左移/右移"判趋势拐点,或想用 周期窗口择时,并需要"周期须与传统信号验证""熊市少做周期抄底"等约束时激活。 不适用于:数艾略特波浪(转 elliott-wave)、均线趋势跟踪(转 moving-averages)。 关键 trigger 词:周期、季节性、波峰左移右移、28天、10.5个月、时间窗、1月高点、大豆4-7月、天数、上涨下跌天数。 Activate when the user asks about time cycles (CRB 10.5-month, 28-day trading cycle, seasonality), uses "peak left/right shift" to judge turning points, or wants to time with cycle windows, with constraints like "cycles must be confirmed by traditional signals" and "avoid cycle bottom-fishing in bear markets". Not applicable: counting Elliott waves (-> elliott-wave), MA trend-following (-> moving-averages). Key trigger words: cycle, seasonality, peak left/right shift, 28 days, 10.5 months, time window, January high, soybean Apr-Jul, day count, up/down day count.

ClawHub Agent Skills author: bianchunhui v0.1.0 MIT-0 3 files body ≈ 624 tokens Open the sourceclawhub.ai analyzed 2 d ago

当用户问时间周期(CRB 10.5 个月、28 天交易周期、季节性)、用"波峰左移/右移"判趋势拐点,或想用 周期窗口择时,并需要"周期须与传统信号验证""熊市少做周期抄底"等约束时激活。 不适用于:数艾略特波浪(转 elliott-wave)、均线趋势跟踪(转 moving-averages)。 关键…

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

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "source_book"
    • note frontmatter-key unknown frontmatter key "source_chapter"
    • note frontmatter-key unknown frontmatter key "related_skills"

    Process rating: all ten parameters 59/100

    • 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
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 46 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 624 tokens
    • 100Running it twice. No mutating operations

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 784: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 46 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This is a static educational trading-analysis skill and does not request system access, credentials, persistence, or automatic actions.
    LLM: benign (high) · VirusTotal: · 3 Aug 2026