SKILLEMALL.ai

AD dsl-exit-engine

Use when designing or tuning exit logic for a Freqtrade strategy on Superior Trade — anything described as ratcheting trailing stop, two-phase exit, ALO-aware exit, dynamic stoploss DSL, ROI ladder, take-profit ladder, exit engine. Specifies a three-phase exit (Phase 0 ROI ladder, Phase 1 hard stop, Phase 2 ratcheting trail) that strategies compose. The Phase 2 ratchet was the most consistently profitable primitive across 21 validation backtests; the Phase 0 ladder is what makes mean-reversion strategies actually book wins.

ClawHub Agent Skills author: Superior-AI v1.0.0 MIT-0 2 files body ≈ 1 658 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use when designing or tuning exit logic for a Freqtrade strategy on Superior Trade — anything described as ratcheting trailing stop, two-phase exit, ALO-aware…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
47/100
Unfinished process
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "updated"

    Process rating: all ten parameters 47/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 75Steps. 3 steps
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1658 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 529: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 3 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This appears to be a trading-strategy guidance skill with no evidence of hidden code or unsafe installation behavior, though users should treat its financial guidance carefully.
    LLM: benign (medium) · VirusTotal: · 22 Jun 2026