SKILLEMALL.ai

AC pb-module-triage

Analyze BrainNode protobuf recordings from this autonomous-driving project against a natural-language problem description, identify the most likely faulty module, and produce an evidence-based module analysis. Use for .pb/TotalDataCore/DataCoreFrame recordings, PB replay or dump analysis, localization/perception/planning/control/chassis/task/diagnostics triage, timestamp and frame-drop investigation, and requests to output a problem-module analysis result.

ClawHub Agent Skills author: Narol v1.0.0 MIT-0 5 files body ≈ 1 419 tokens Open the sourceclawhub.ai analyzed 2 d ago

Analyze BrainNode protobuf recordings from this autonomous-driving project against a natural-language problem description, identify the most likely faulty…

As a process C 62/100 · Has gaps — weak spots: when it triggers, failures and branches, progress reporting

AnalyzerSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
62/100
Has gaps
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
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: 5. 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 62/100

    • 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
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 31 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1419 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +3Description length 460: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 31 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This skill reads local autonomous-driving protobuf logs and optionally writes a report, which fits its stated diagnostic purpose.
    LLM: benign (high) · VirusTotal: · 14 Aug 2026