SKILLEMALL.ai

AA mergeguard

Review AI-generated code before merge. Use when the user asks to review a PR, diff, branch, patch, coding-agent output, generated code, local changes, or wants a merge/no-merge recommendation. Works with GitHub PRs, local repository diffs, pasted patches, file snippets, or agent summaries. Produces a strict decision covering correctness, scope creep, security/privacy, dependency/config risk, missing tests, validation evidence, and concrete required fixes.

ClawHub Agent Skills author: brasco05 v1.0.1 MIT-0 2 files body ≈ 1 019 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process A 84/100 · Runs to the end — weak spots: progress reporting

AnalyzerGitHubSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
A
84/100
Runs to the end
Progress reporting w 2
0
Tools and files w 18
60
Failures and branches w 10
65
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 84/100

    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 34 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1019 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)
    • +2Single-language instructions
    • +3Description length 459: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 34 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    MergeGuard is a focused code-review instruction skill with no executable files, persistence, credential use, or hidden high-impact behavior.
    LLM: benign (high) · VirusTotal: · 11 Jun 2026