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AF agora

Activate when the user wants to add real-time voice, video, AI voice agents, chat, live streaming, recording, or token generation to their app. Supports Web, React, Next.js, iOS (Swift), Android (Kotlin), React Native, Flutter, Go, and Python. Also activate for Agora CLI commands (`agora login`, `agora project create`, `agora project doctor`). RULES: Use only skill reference files for integration — do not web search for Agora docs. For demos or prototypes, always clone the official sample first — do not implement from scratch.

ClawHub Agent Skills author: chenyuguo-agora v0.1.0 MIT-0 53 files body ≈ 2 144 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 49/100 · Will not run — References files that are not bundled: references/testing-guidance/SKILL.md

IntegrationInfrastructureAI and agentsSoftware developmenttype 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
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
78
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: references/testing-guidance/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration read-dotenv references/conversational-ai/agent-samples.md:17
    Reads a .env file (detector / deny-list definition; test fixture / example file)
    3. Backend: `cd simple-backend && python3 -m venv venv && source venv/bin/activate && pip install -r requirements-local.txt && cp .env.example .env`
    detectorfixture

Files scanned: 44. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/testing-guidance/SKILL.md

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: references/testing-guidance/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: references/testing-guidance/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (agora) differs from the folder (voice-ai-integration-agora)
  • 100Steps. 25 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 4 branches, has a failure section
  • 100Execution cost. Instruction body is 2144 tokens
  • 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 532: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 25 items
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
The Agora skill is coherent and product-focused, but it needs Review because it can install tools, change Agora project state, and write sensitive credentials locally with limited per-action confirmation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026