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AC tiktok-photo-mode

The TikTok Photo Mode format-execution skill. Use when someone wants a "TikTok photo carousel," "photo mode," "TikTok slideshow," "swipeable TikTok post," or to publish a multi-image TikTok post via WoopSocial (postType PHOTO). Builds a TikTok-native carousel that wins on completion rate — hook slide 1, progressive reveal with cliffhangers, reward + one CTA — AND sets the exact WoopSocial PHOTO publish config (privacy, comments, music, truthful disclosure flags). Uses the SWIPE framework. Reads brand-profile + goals-and-kpis first. The agent writes the slide plan + overlay copy + caption + config; the IMAGES are made by a human/image skill, not WoopSocial; WoopSocial publishes the native PHOTO post; metrics never fabricated and photo mode is never promised as a reach hack. Distinct from tiktok-script (VIDEO) and carousel-writer (cross-platform copy).

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 329 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

The TikTok Photo Mode format-execution skill.

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

GeneratorMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
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. 16 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1329 tokens
    • high The skill tells the model to perform an irreversible action with no human approval
    • 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 862: 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: 10 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 TikTok Photo Mode planning and WoopSocial publishing-config helper, with no hidden code or unrelated behavior found.
    LLM: benign (high) · VirusTotal: · 24 Jul 2026