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BD ghost-cms-skill

Comprehensive Ghost CMS integration for creating, publishing, scheduling, and managing blog content, newsletters, members, and analytics. Use when working with Ghost blogs for content creation (drafts, publishing, scheduling), member/subscriber management (tiers, newsletters), comment moderation, or analytics (popular posts, subscriber growth). Supports all Ghost Admin API operations.

modbender/skill-library-mcp Agent Skills author: modbender MIT 42 files body ≈ 3 602 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Comprehensive Ghost CMS integration for creating, publishing, scheduling, and managing blog content, newsletters, members, and analytics.

As a process D 36/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationData and analyticsWriting and documentstype 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
B
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
79
Run on models
none yet
Process rating
D
36/100
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token scripts/package-lock.json:155
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…xfR+Sez1…7tm+VkUc…NCQ==",
      detector
    • low Secrets in code secret-high-entropy-token scripts/package-lock.json:203
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…Bpu+mUO2…ttA==",
      detector
    • low Secrets in code secret-high-entropy-token scripts/package-lock.json:316
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…14B+BZPm…NZC+jaH8…mSw==",
      detector
    • low Secrets in code secret-high-entropy-token scripts/package-lock.json:449
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…Dwr+axIo…OkD/H/3rgAs8h/NIuEi2imSXD+vL4M…fqQ==",
      detector
    • low Secrets in code secret-high-entropy-token scripts/package-lock.json:501
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…7wX+ZUFy…9qO+FTaM…mHg==",
      quoted

    Files scanned: 42. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "repository"

    Process rating: all ten parameters 36/100

    • 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
    • 30Running it twice. 37 mutating operations with no state check
    • 40Consistency. Frontmatter name (ghost-cms-skill) differs from the folder (ghost-cms)
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 85Steps. 119 steps, 3 vague phrases
    • 100Execution cost. Instruction body is 3602 tokens

    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
    • -2localhost URLs: will not work for another user
    • -233 emoji in the instructions: noise for the model
    • -34 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 387: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 119 items
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (9 of 9)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.