SKILLEMALL.ai

AC cm-celery-task-analyzer

Analyze Celery task configurations for reliability, performance, and debugging. Checks retry policies, task routing, serialization, result backends, worker configuration, beat schedules, and task design patterns. Use when asked to review Celery tasks, audit task reliability, check Celery best practices, optimize worker performance, review beat schedules, or troubleshoot task failures. Triggers on "celery", "celery task", "celery worker", "celery beat", "task queue", "celery retry", "celery routing", "celery config", "celery performance", "celery debug", "celery audit".

ClawHub Agent Skills author: charlie-morrison v1.0.1 MIT-0 2 files body ≈ 4 842 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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 56/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (cm-celery-task-analyzer) differs from the folder (celery-task-analyzer)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) 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
    • 70Execution cost. Instruction body is 4842 tokens
    • 100Steps. 23 steps

    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)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 11 example trigger phrases
    • +3Description length 575: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 23 items
    • +3Output format is stated explicitly
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This is a read-only Celery review skill; the main caution is that it may inspect project configuration files that contain secrets.
    LLM: benign (high) · VirusTotal: · 29 May 2026