SKILLEMALL.ai

AB rigorous-code-analysis

Use when analyzing, debugging, modifying, reviewing, testing, or designing code. Verify important assumptions, distinguish facts from inference and hypotheses, make the smallest safe change, and verify results whenever practical.

ClawHub Agent Skills author: jrd77 v1.1.0 MIT-0 2 files body ≈ 1 961 tokens Open the sourceclawhub.ai analyzed 2 d ago

Verify important assumptions, distinguish facts from inference and hypotheses, make the smallest safe change, and verify results whenever practical.

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
65/100
Nearly there
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: 2. 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 65/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 67 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1961 tokens
    • low 11 top-level sections: this looks like several domains in one skill

    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)
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 229: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 67 items
    • +3Output format is stated explicitly
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill provides a rigorous code-analysis workflow and does not include scripts, hidden persistence, or unrelated data access.
    LLM: benign (high) · VirusTotal: · 31 Aug 2026