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BC magazine-web-ppt

For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment, buyer-ready proof, and this outcome: approve launch plan, campaign budget, or GTM motion.

nexu-io/open-design Agent Skills author: nexu-io Apache-2.0 12 files body ≈ 4 214 tokens Open the sourcegithub.com↗ analyzed 6 d ago

For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes.

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

ProcedureMarketingAI and agentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: magazine-web-ppt (nexu-io/open-design)

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: 12. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "en_name"
    • note frontmatter-key unknown frontmatter key "zh_name"
    • note frontmatter-key unknown frontmatter key "en_description"
    • note frontmatter-key unknown frontmatter key "zh_description"
    • note frontmatter-key unknown frontmatter key "triggers"
    • note frontmatter-key unknown frontmatter key "od"

    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
    • 40Consistency. Frontmatter name (magazine-web-ppt) differs from the folder (guizang-ppt)
    • 50When it triggers. No condition that starts the skill
    • 70Failures and branches. 4 branches
    • 70Execution cost. Instruction body is 4214 tokens
    • 85Steps. 62 steps, 2 vague phrases
    • 100Tools and files. No external tools needed
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (8 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)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 286: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 62 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.