SKILLEMALL.ai

AB skill-enhance

Create, improve, review, and locally customize skills with a quality-first workflow. Use this skill when the user wants to build a new skill, strengthen an existing one, improve trigger accuracy or execution clarity, fill missing artifacts such as README, evals, metadata, or references, review publish readiness, or safely modify a locally available skill package. When local modification is requested, verify access and writeability first, report blockers clearly, and confirm the target path and edit intent before editing. Do not use it for ordinary prose editing, unrelated code refactors, or simple skill discovery or installation.

ClawHub Agent Skills author: may v1.0.2 MIT-0 12 files body ≈ 4 089 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 76/100 · Nearly there — weak spots: inputs and preconditions

ProcedureWriting and documentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
76/100
Nearly there
Inputs and preconditions w 11
0
Result and completion w 14
60
Failures and branches w 10
70
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 11. 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 76/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Result and completion. Output format stated, no completion criterion
    • 70Failures and branches. 24 branches
    • 70Execution cost. Instruction body is 4089 tokens
    • 85Steps. 204 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 12 top-level sections: this looks like several domains in one skill
    • low No test case covers injection arriving through data

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 637: enough signal without eating the budget
    • +4Structure: 47 headings
    • +3Step-by-step instructions: 204 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (8 of 8)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This is a coherent set of ClawHub and Convex helper skills with powerful actions disclosed and tied to user-directed workflows.
    LLM: benign (high) · VirusTotal: · 29 May 2026