SKILLEMALL.ai

AC brand-marketing-workflow

Structural documentation for the brand-marketing-workflow skill. Use when the user wants to understand, audit, or review the workflow design without exposing implementation code.

ClawHub Agent Skills author: halfmoon82 v3.0.1 MIT-0 44 files · 2 scripts body ≈ 927 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

ProcedureMarketingSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
84
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Obfuscation obf-base64-blob evidence/competitor_cache_20260323.json:4
      Long base64-looking blob (quoted — discussed, not commanded)
      "raw_text": "Title: AI 工作空间,你的智能助手。| Notion\n\nURL Source: https://www.notion.so/zh-cn\n\nMarkdown Content:\n# AI 工作空间,你的智能助手。| Notion\n\nSee this page in your preferred language.[Change to English (U
      quoted
    • low Secrets in code secret-high-entropy-token evidence/competitor_cache_20260323.json:4
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "raw_text": "Title: AI 工作空间,你的智能助手。| Notion\n\nURL Source: https://www.notion.so/zh-cn\n\nMarkdown Content:\n# AI 工作空间,你的智能助手。| Notion\n\nSee this page in your preferred language.[Change to English (U
      quoted

    Files scanned: 44. 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 58/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 46 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 927 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • -36 of 14 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 178: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 46 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    The package is advertised as documentation-only, but it ships runnable marketing automation code that can use local OpenClaw configuration, external services, and local cache files.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026