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AD openquok-tiktok-slideshow

Generate TikTok photo-carousel slideshows with a locked character (AI images + text overlays) and post via the openquok CLI. Use for any niche/channel persona — research, lock character, generate frames, overlay text, draft or schedule through openquok-core.

ClawHub Hermes author: rati.eth v1.0.1 MIT-0 12 files body ≈ 2 193 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Generate TikTok photo-carousel slideshows with a locked character (AI images + text overlays) and post via the openquok CLI.

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

GeneratorMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 258 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "prerequisites"

Process rating: all ten parameters 48/100

  • 0Result and completion. Does not say what the result is
  • 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. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 60Consistency. The Hermes dialect needs category and tags
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 2193 tokens

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
  • +2Single-language instructions
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 5 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: suspicious
The skill is mostly a disclosed TikTok slideshow automation tool, but it includes account warm-up and US-audience targeting guidance that may encourage platform manipulation before automated posting.
LLM: suspicious (high) · 4 Aug 2026