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CC marketing-mode

Marketing Mode combines 23 comprehensive marketing skills covering strategy, psychology, content, SEO, conversion optimization, and paid growth. Use when users need marketing strategy, copywriting, SEO help, conversion optimization, paid advertising, or any marketing tactic.

Not recommendedthe live run shows the skill does not improve model answers
ClawHub Agent Skills v1.0.0 5 files body ≈ 4 226 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMarketingWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
69/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
35
Obsolete model run: 81% with skill · 81% without
Process rating
C
52/100
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: 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 52/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 13 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 70Execution cost. Instruction body is 4226 tokens
    • 85Steps. 322 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • low 20 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 275: enough signal without eating the budget
    • +4Structure: 96 headings
    • +3Step-by-step instructions: 322 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    Model run · 10 Sept 2026

    With the skill
    81%
    +0 pp vs baseline
    Without the skill (baseline)
    81%
    triggers: +100% / −100%

    Obsolete Model passes without the skill: baseline 81%, with skill 81% (uplift < 10%) · 7 cases · $0.085

    External checks

    ClawHub: clean
    This is a disclosed marketing assistant mode, with the main caution being that one install path uses a global npm package.
    LLM: benign (high) · VirusTotal: suspicious