SKILLEMALL.ai

AB substack-ghostwriting

Write, optimize, and grow Substack content — both newsletter issues (email-first) and web posts (web-first articles/essays). Covers ghostwriting with voice matching, Substack algorithm optimization, Notes strategy, email formatting, SEO, growth tactics, and monetization planning. Use when the user mentions Substack, newsletters, write a newsletter issue, Substack post, Substack article, web post on Substack, evergreen content, SEO for Substack, newsletter growth, Notes strategy, ghostwrite for, match someone's voice, write in the style of, newsletter monetization, paid subscribers, or any task involving Substack as a platform. Also trigger for general article/newsletter writing even if Substack isn't named explicitly, or when the user wants to adapt existing content (blog post, talk, thread) into newsletter or web post format. Do NOT use for generic blog post writing without a newsletter/Substack context (-> See samber/cc-skills@technical-article-writer skill).

ClawHub Agent Skills author: Samuel Berthe v1.1.3 MIT-0 9 files body ≈ 3 588 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 79/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
79/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 8. 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 79/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 3 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 76 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 14 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3588 tokens
    • medium 21 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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
    • +3Description length 975: 120–800 characters recommended
    • +4No input/output examples
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 76 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (6 of 6)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is an instruction-only Substack writing assistant, with practical privacy cautions around voice samples, recordings, and internal communications.
    LLM: benign (high) · VirusTotal: · 29 May 2026