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AD fp_facebook_pro_post

生成 FridayParts Facebook 帖子，四种类型一键切换：行业知识科普、客户好评反馈、 KOL合作推广、热点借势营销。每条输出含正文 + hashtag + 配图建议。 技术类内容自动保留"留余地"表述，客评 quote 自动控制在15词内。 Use when: 写 Facebook 帖子 / 客评转发 / 科普文案 / KOL推广文案 / 热点营销。

ClawHub Agent Skills author: zhuxirui677 v1.0.0 MIT-0 7 files body ≈ 488 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

生成 FridayParts Facebook 帖子，四种类型一键切换：行业知识科普、客户好评反馈、 KOL合作推广、热点借势营销。每条输出含正文 + hashtag + 配图建议。 技术类内容自动保留"留余地"表述，客评 quote 自动控制在15词内。 Use when: 写 Facebook 帖子 /…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype 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
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "display_name"
    • note frontmatter-key unknown frontmatter key "temperature"
    • note frontmatter-key unknown frontmatter key "max_tokens"
    • note frontmatter-key unknown frontmatter key "triggers"

    Process rating: all ten parameters 49/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (fp_facebook_pro_post) differs from the folder (fp-facebook-pro-post)
    • 100Tools and files. No external tools needed
    • 100Steps. 18 steps
    • 100Execution cost. Instruction body is 488 tokens
    • 100Running it twice. No mutating operations

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 184: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: clean
    This is a prompt-only marketing writing skill for FridayParts Facebook posts, with no evidence of hidden code, data access, credential use, or autonomous posting.
    LLM: benign (high) · VirusTotal: · 29 Jun 2026