SKILLEMALL.ai

AC text-post-and-microblog

The master craft of the standalone text post / microblog (LinkedIn, X/Twitter, Threads, Bluesky, Facebook text posts). Use when someone wants to write a text post, a LinkedIn post, a short written update, a microblog, or fix a post that flopped / reads as a wall of text / has a weak opening line. A text post has nowhere to hide -- the words are everything, and the first ~140-210 characters (the 'see more' fold) are most of the job. Uses the LINES framework. Reads brand-profile + voice-builder + hook-writer first; pulls the 'what' from the content-angle skills. The agent writes the post; the human approves; WoopSocial publishes to supported platforms, routing specifics to linkedin-post-writer / threads-post / thread-writer. NEVER fabricates a stat/story/metric or uses engagement-bait; avoids AI-slop over-formatting. No native multi-post threads; Reddit/Mastodon are advisory-only. Distinct from caption-writer, thread-writer, and the content-angle skills (WHAT vs this HOW).

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 703 tokens Open the sourceclawhub.ai analyzed 3 d ago

The master craft of the standalone text post / microblog (LinkedIn, X/Twitter, Threads, Bluesky, Facebook text posts).

As a process C 62/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorData and analyticsAI and agentsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 1. 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 62/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1703 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 985: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 10 items
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This skill is a disclosed writing guide for text posts and microblogs, with no hidden execution, credential access, or persistence found.
    LLM: benign (high) · VirusTotal: · 22 Jul 2026