SKILLEMALL.ai

AC multi-channel-skill-publisher

Publish ONE skill to ALL agent-skill channels from a single source of truth: the ClawHub skill registry, a ClawHub bundle-plugin package, and a Claude Code plugin marketplace (plain GitHub repo). Use when the user wants to publish, release, rename, or version-bump a skill/plugin across registries, or asks how to package a skill as a Claude Code plugin or OpenClaw bundle plugin. Covers the SSOT/sync model against redundancy, exact manifests (plugin.json, marketplace.json, openclaw.plugin.json), known CLI bugs and their web-UI workarounds (rename, --name, display-name fallback), versioning pitfalls (permanent versions, highest-version-wins display name, web-UI version drift), and publish gotchas (version must exceed live on BOTH namespaces, push before source-linked package publish, name-driven search).

ClawHub Agent Skills author: TheRacoon v1.0.3 MIT-0 2 files body ≈ 2 253 tokens Open the sourceclawhub.ai analyzed 2 d ago

Publish ONE skill to ALL agent-skill channels from a single source of truth: the ClawHub skill registry, a ClawHub bundle-plugin package, and a Claude Code…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureGitHubSoftware developmentAI and agentsCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, git, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2253 tokens
    • 100Running it twice. Mutating operations check current state
    • high The skill tells the model to perform an irreversible action with no human approval
    • low The response is described with custom markup (15 tags): a typed call is more reliable

    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)
    • +3Description length 812: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This skill is a publishing checklist for releasing one skill across ClawHub and Claude Code channels, with no hidden code or automatic behavior found.
    LLM: benign (high) · VirusTotal: · 26 Jul 2026