SKILLEMALL.ai

AC social-selling-and-dm

Social selling and DM funnels — consent-first selling in the DMs, never spam. Use when someone wants to "sell in the DMs," "set up a comment-to-DM funnel," "do DM outreach," "turn comments/followers into leads or customers," or convert intent into private conversations. Works ONLY as a response to intent (comments, story replies, follows, keyword DMs) via the comment->DM->email funnel — never cold outreach. Uses the WARMS framework. Reads brand-profile + voice-builder + goals-and-kpis first. WoopSocial has NO DM/comment surface: the agent designs the funnel and drafts the trigger post, DM sequences, and manual outreach scripts; WoopSocial publishes the trigger posts; the actual comment->DM automation runs in an external official-Meta-API tool (ManyChat/LinkDM/etc.) or a human sends warm DMs; consent-first always, ban-behaviors avoided, metrics never fabricated. Distinct from link-in-bio-and-traffic, reply-and-comment-writer, and email-and-newsletter.

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 302 tokens Open the sourceclawhub.ai analyzed 2 d ago

Social selling and DM funnels — consent-first selling in the DMs, never spam.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationMarketingSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
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: 6. 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 56/100

    • 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. 8 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 12 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1302 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 964: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 12 items
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a disclosed drafting guide for consent-based social DM funnels and does not install code, run automation, scrape accounts, or send messages itself.
    LLM: benign (high) · VirusTotal: · 24 Jul 2026