SKILLEMALL.ai

AC reddit

Turn Reddit into a steady source of genuine conversations: find the threads where people are actively asking for what you build, then draft short, honest replies that lead with help and disclose who you are. Two moves — discovery scans your target subreddits for real needs (recommendation asks, expressed pain, competitor mentions) and ranks the few threads where you can actually add value; drafting writes from real experience, respects each subreddit's self-promo rules, and keeps a human in the loop to edit and post. Market on Reddit the honest way — contribute first, disclose your affiliation, never astroturf. Triggers on "find reddit opportunities", "reddit marketing", "reply on reddit for my product", "reddit community engagement", "reddit lead gen", or any ask to turn Reddit threads into genuine, disclosed replies.

ClawHub Agent Skills author: mew v1.0.0 MIT-0 2 files body ≈ 1 632 tokens Open the sourceclawhub.ai analyzed 33 h ago

Turn Reddit into a steady source of genuine conversations: find the threads where people are actively asking for what you build, then draft short, honest…

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 0

    ✓ No critical or high findings

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "emoji"
    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 36 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1632 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 830: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 36 items
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This skill is a disclosed Reddit research-and-drafting helper with clear human-review and anti-spam guardrails.
    LLM: benign (high) · VirusTotal: · 27 Jul 2026