SKILLEMALL.ai

BF tiktok-app-marketing

Automate TikTok slideshow marketing for any app or product. Researches competitors, generates AI images, adds text overlays, posts via PosteAhora, tracks analytics via PosteAhora, and iterates on what works. Use when setting up TikTok marketing automation, creating slideshow posts, analyzing post performance, optimizing app marketing funnels, or when a user mentions TikTok growth, slideshow ads, or social media marketing for their app. Covers competitor research (browser-based), image generation, text overlays, TikTok posting (PosteAhora API), cross-posting to Instagram/YouTube/Threads, analytics tracking, hook testing, CTA optimization, conversion tracking with RevenueCat, and a full feedback loop that adjusts hooks and CTAs based on views vs conversions.

ClawHub Agent Skills author: Alexander Osso v0.1.0 MIT-0 5 files body ≈ 11 790 tokens Open the sourceclawhub.ai analyzed 2 d ago

Automate TikTok slideshow marketing for any app or product.

As a process F 53/100 · Will not run — References files that are not bundled: scripts/rc-api.sh, scripts/generate-slides.js, scripts/post-to-tiktok.js

ProcedureYouTubeMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: scripts/rc-api.sh, scripts/generate-slides.js, scripts/post-to-tiktok.js
Tools and files w 18
0
Result and completion w 14
0
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 11790 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/rc-api.sh
  • warning missing-ref reference to a missing file: scripts/generate-slides.js
  • warning missing-ref reference to a missing file: scripts/post-to-tiktok.js
  • warning missing-ref reference to a missing file: scripts/check-analytics.js
  • warning missing-ref reference to a missing file: scripts/daily-report.js

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: scripts/rc-api.sh, scripts/generate-slides.js, scripts/post-to-tiktok.js
  • 0Tools and files. 5 referenced file(s) missing: scripts/rc-api.sh, scripts/generate-slides.js, scripts/post-to-tiktok.js
  • 0Result and completion. Does not say what the result is
  • 40Execution cost. Instruction body is 11790 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 180 steps, 2 vague phrases
  • 100Failures and branches. 7 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 766: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 180 items
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This skill is mostly a disclosed TikTok marketing workflow, but it includes anti-detection account warmup coaching and broad analytics, credential, and scheduled-job behavior that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 15 Jul 2026