SKILLEMALL.ai

AB checker

QA and peer review agent. Reviews output from other agents before delivery. Use when: (1) content from Scribe needs review before posting, (2) research from Scout needs validation before acting on it, (3) outreach messages need a quality check before sending, (4) any deliverable needs a second pair of eyes before it reaches Honey B or goes public. NOT for: creating content (use scribe), doing research (use scout), generating images (use pixel), doing maintenance/cleanup (use janitor). Checker REVIEWS, doesn't create. Don't use for internal drafts or brainstorming — only for pre-delivery QA. Outputs: review verdicts saved to artifacts/checker/.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 702 tokens Open the sourcegithub.com analyzed 2 d ago

QA and peer review agent.

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice

AnalyzerAI and agentsSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
68/100
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: 1. 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 68/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 39 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 702 tokens

    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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 651: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 39 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.