SKILLEMALL.ai

AB skill-build-wizard

End-to-end guided workflow for building production-quality agent skills. Walks users through 4 stages: pre-flight checks → spec confirmation (3 musts) → coding quality acceptance (4 checks) → release prep (5 requirements). Use when the user says "create a skill", "build a skill", "write an agent skill", "skill-build-wizard", "做个 skill", "帮我创建一个 skill", "skill 全流程向导". Calls skill-creator for actual scaffolding and routes to glic-check / skill-release-audit / skill-release-plus / skill-regression for verification and release. Not for: just writing one quick skill file (use skill-creator directly); just publishing an already-finished skill (use skill-release-plus).

ClawHub Agent Skills author: Evan Song v1.0.0 MIT-0 7 files · 1 script body ≈ 2 179 tokens Open the sourceclawhub.ai analyzed 19 h ago

End-to-end guided workflow for building production-quality agent skills.

As a process B 71/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureGitHubSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Result and completion w 14
40
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: 7. 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 71/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 11 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 50Failures and branches. 0 branches, has a failure section
    • 85Steps. 50 steps, 3 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
    • 100Execution cost. Instruction body is 2179 tokens
    • 100Progress reporting. Reports progress

    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

    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 670: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 50 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: clean
    This skill is a disclosed workflow guide for building and publishing skills, with user confirmation gates around higher-impact steps.
    LLM: benign (high) · VirusTotal: · 22 Jun 2026