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AF jogg-api

Use when working with JoggAI v2 APIs and workflow execution for avatar videos, product videos, templates, assets, avatars, webhooks, translation, and account lookups. Covers endpoint lookup plus guided workflow routing, while keeping lip sync in its own dedicated skill.

ClawHub Agent Skills author: JoggAI-Tech v0.1.0 MIT-0 2 files body ≈ 1 603 tokens Open the sourceclawhub.ai↗ analyzed 22 h ago

Covers endpoint lookup plus guided workflow routing, while keeping lip sync in its own dedicated skill.

As a process F 58/100 · Will not run — References files that are not bundled: scripts/jogg-v2.sh, references/endpoints.md, references/workflows.md

ProcedureMedia and videotype 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
58/100
Will not run
References files that are not bundled: scripts/jogg-v2.sh, references/endpoints.md, references/workflows.md
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/jogg-v2.sh
  • warning missing-ref reference to a missing file: references/endpoints.md
  • warning missing-ref reference to a missing file: references/workflows.md

Process rating: all ten parameters 58/100

Will not run. References files that are not bundled: scripts/jogg-v2.sh, references/endpoints.md, references/workflows.md
  • 0Tools and files. 3 referenced file(s) missing: scripts/jogg-v2.sh, references/endpoints.md, references/workflows.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 16 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 74 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1603 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)
  • +2Single-language instructions
  • +3Description length 270: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 74 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a disclosed JoggAI API helper with no bundled executable code or scanner-detected malicious behavior, though its referenced runner script is missing from the package.
LLM: benign (high) · VirusTotal: · 9 Jul 2026