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AB content-writer

Use when the user wants to turn [Dageno](https://dageno.ai/?utm_source=github&utm_medium=social&utm_campaign=official) GEO opportunities into a real-fanout backlog and then write one publish-ready article from one selected fanout item. Produces a backlog-row-first GEO workflow with fanout extraction, editorial brief generation, draft and review contracts, and publish-ready article output. For broad SEO article generation from keywords without [Dageno](https://dageno.ai/?utm_source=github&utm_medium=social&utm_campaign=official) opportunity data, see a keyword-first SEO content workflow instead.

ClawHub Agent Skills author: Tim v0.7.3 MIT-0 70 files body ≈ 814 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 73/100 · Nearly there — weak spots: consistency, running it twice, progress reporting

GeneratorGitHubWordPressWriting and documentsMarketingOperations and projectstype 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
73/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Consistency w 8
40
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: 70. 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 73/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (content-writer) differs from the folder (geo-content-writer)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 39 steps
    • 100Execution cost. Instruction body is 814 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)
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 601: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 39 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    The skill is a real Dageno content workflow, but its optional WordPress commands can create, update, or publish live site content, including batch posts, without a clear confirmation or dry-run gate.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026