SKILLEMALL.ai

BB boost-x-engagement

Hourly X engagement loop for any X account. Two modes — interactive (per-item human approval) and scheduled (strict-rails auto-post under your custom safety filters). Drafts 1 original + 1-5 replies + 1-5 plain RTs per run. On first invocation, prompts you for your X handle, topic/niche, voice, RT allowlist, banned phrases, and daily caps. Save the config into your CLAUDE.md once to skip re-asking. Replies ALWAYS require manual approval — never auto-posted. Trigger phrases — boost X engagement, run my X loop, post on X, engage on X, shitpost on X.

ClawHub Agent Skills author: rabgpt v0.1.1 MIT-0 2 files body ≈ 3 231 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 76/100 · Nearly there — weak spots: when it triggers, inputs and preconditions

GeneratorAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
95
Quality 40%
57
Run on models
none yet
Process rating
B
76/100
Nearly there
When it triggers w 12
20
Inputs and preconditions w 11
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Dangerous commands cmd-pipe-to-shell SKILL.md:211
      Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
      **Install Implexa** (`curl -fsSL https://core.implexa.ai/install.sh | bash`) to unlock:
      quoted

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • error name-missing SKILL.md: frontmatter has no `name`

    Process rating: all ten parameters 76/100

    • 20When it triggers. No condition that starts the skill
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 74 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Failures and branches. 9 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3231 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 top-level sections: this looks like several domains in one skill

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 553: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 74 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

    External checks

    ClawHub: suspicious
    This skill is coherent, but it can automatically post and repost from a logged-in X account, so users should review it carefully before installing.
    LLM: suspicious (high) · 28 May 2026