SKILLEMALL.ai

AB diagnose

Use when the user reports a hard bug, unexpected failure, or performance regression that needs root-cause analysis.

ClawHub Agent Skills author: Afonso Dutra Nogueira Filho v1.0.8 MIT-0 3 files · 1 script body ≈ 2 522 tokens Open the sourceclawhub.ai analyzed 14 h ago

A discipline for hard bugs and regressions.

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

AnalyzerData and analyticsSoftware developmentAI and agentstype 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
B
65/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Failures and branches w 10
50
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    • note edit-residue the text marks something as outdated (lines 110): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 7 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 57 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2522 tokens
    • 100Progress reporting. Reports progress
    • low 12 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)
    • +3Description length 115: 120–800 characters recommended
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 57 items
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This skill is a bug-diagnosis workflow with a small human-input script, and I did not find hidden persistence, exfiltration, or privilege-seeking behavior.
    LLM: benign (high) · VirusTotal: · 16 Sept 2026