SKILLEMALL.ai

AB reson8-activate

The meta-skill that knows its own activation surface. Use this skill whenever the user wants to "activate" a capability, asks "what can you do", wants to chain multiple skills together, needs help finding the right tool for a task, asks about available integrations or connectors, wants to publish to a marketplace, or says "activate", "inventory", "compose", "what tools", "what skills", "what can we use", "show me everything", or "tapestry". Also triggers when another agent (Grok, Gemini) needs to understand what capabilities exist and how to invoke them. This is the Tapestry of Skills — the self-aware orchestration layer.

ClawHub Agent Skills author: toolated v1.0.0 MIT-0 5 files body ≈ 1 327 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, consistency

IntegrationInfrastructureAI and agentsCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
0
Consistency w 8
40
Result and completion w 14
60
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: 5. 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 75/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (reson8-activate) differs from the folder (reson8-activator)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 36 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 1327 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +3Description length 629: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 36 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    This is a coherent orchestration skill, but it can route into powerful account, deployment, file, and public-posting workflows without enough clear boundaries.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026