SKILLEMALL.ai

AC trading-tactics-checklist

当用户要落实"由长到短"的分析流程、用复合头寸化解突破择时两难、做日内逐步聚焦(日线→5分钟线), 或需要交易前核对清单(21 条要领 / 23+8 技术分析清单)与"预先/当场/伺后"入市策略时激活。 不适用于:仓位规模与止损距离(转 money-management)、趋势方向判定(转 trend-tools)。 关键 trigger 词:交易策略、择时、入市时机、突破跟不跟、复合头寸、日内聚焦、交易清单、邓尼根突刺、盲信传媒、独立研判、重仓跟进、计划。 Activate when the user wants to implement the "long-to-short" analysis flow, use compound positions to resolve the breakout-timing dilemma, do intraday progressive focus (daily -> 5-min), or needs a pre-trade checklist (21 essentials / 23+8 TA checklist) and "pre/at/post entry" strategies. Not applicable: position sizing and stop distance (-> money-management), trend direction (-> trend-tools). Key trigger words: trading strategy, timing, entry timing, follow breakout or not, compound position, intraday focus, trading checklist, Dunnigan thrust, blindly trust media, independent judgment, heavy follow, plan.

ClawHub Agent Skills author: bianchunhui v0.1.0 MIT-0 3 files body ≈ 696 tokens Open the sourceclawhub.ai analyzed 2 d ago

当用户要落实"由长到短"的分析流程、用复合头寸化解突破择时两难、做日内逐步聚焦(日线→5分钟线), 或需要交易前核对清单(21 条要领 / 23+8 技术分析清单)与"预先/当场/伺后"入市策略时激活。 不适用于:仓位规模与止损距离(转 money-management)、趋势方向判定(转…

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

Templatetype 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
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. 50 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 696 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)
    • +3Description length 847: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 50 items

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

    External checks

    ClawHub: clean
    This is a non-executable trading checklist skill whose financial guidance is purpose-aligned, though users should treat it as educational rather than personalized advice.
    LLM: benign (high) · VirusTotal: · 3 Aug 2026