SKILLEMALL.ai

BC log-to-alert

Use when (1) user pastes server, application, or system log text and wants to extract error patterns into structured alert rules. (2) user says "create alerts from these logs", "monitor for this error", "set up alerts for this pattern", or "extract warning conditions". (3) user pastes log output and asks "alert me if this happens again".

ClawHub Agent Skills author: 王继鹏 v1.0.1 MIT-0 8 files · 1 script body ≈ 1 166 tokens Open the sourceclawhub.ai↗ analyzed 15 d ago

(2) user says "create alerts from these logs", "monitor for this error", "set up alerts for this pattern", or "extract warning conditions".

As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
50/100
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: 7. 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 50/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 85Steps. 34 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1166 tokens
    • 100Progress reporting. Reports progress

    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
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 342: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 34 items
    • +4Has examples (2 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This instruction-only skill converts user-provided logs into alert-rule drafts and shows no hidden persistence, credential handling, or automatic system changes.
    LLM: benign (high) · 16 Sept 2026