SKILLEMALL.ai
GitHub ↗ RU Sign in

AC chanjing-avatar

use chanjing avatar api to create lip-sync videos by uploading source media, creating avatar tasks, and polling task status. this skill reads app_id and secret_key from ~/.chanjing/credentials.json or $CHANJING_CONFIG_DIR/credentials.json and refreshes access_token for api calls. by default it does not auto-open browser pages; it returns login guidance when credentials are missing or invalid.

ClawHub Agent Skills author: zuoyuting214 v0.2.0 MIT-0 3 files body ≈ 2 237 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

IntegrationMedia and videoInfrastructuretype 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
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
90
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token SKILL.md:118
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      --audio-man-id "C-f2…916")
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:240
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "audio_man_id": "C-f2…916",
      quoted

    Files scanned: 3. 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 60/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 14 mutating operations with no state check
    • 40Consistency. Frontmatter name (chanjing-avatar) differs from the folder (zyt-avatar)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 30 steps
    • 100Execution cost. Instruction body is 2237 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 395: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 30 items
    • +3Output format is stated explicitly
    • +4Has examples (14 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This skill is a disclosed Chanjing API helper for creating lip-sync avatar videos, with expected but sensitive handling of API credentials and uploaded media.
    LLM: benign (high) · VirusTotal: · 29 May 2026