SKILLEMALL.ai

AC skill-publisher

End-to-end workflow for publishing agent skills to GitHub, ClawdHub, and skills.sh. Handles repo creation, topic tagging, ClawdHub publish, skills.sh index request, and installation verification. Use when: "publish skill", "上架 skill", "发布技能", "submit to skills.sh", "submit to clawhub", "skill 上架流程".

ClawHub Agent Skills author: bryant24hao v1.0.0 MIT-0 4 files body ≈ 2 382 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

ProcedureGitHubAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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: 4. 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 59/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (skill-publisher) differs from the folder (agent-skill-publisher)
    • 60Tools and files. Uses tools (git) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 36 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 2382 tokens
    • 100Running it twice. Mutating operations check current state
    • low 10 top-level sections: this looks like several domains in one skill

    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)
    • +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 5 example trigger phrases
    • +3Description length 300: enough signal without eating the budget
    • +4Structure: 31 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (23 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This is a coherent publishing helper, but it can make public account changes and tells the agent to patch a local CLI file, so it needs review before installation.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026