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CF wecom-voice-agent

(no description)

ClawHub Agent Skills author: fyniujin v2.7.0 MIT-0 46 files body ≈ 6 620 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

1. 本技能支持企业微信智能机器人场景，包括被动语音消息处理和主动语音通话 2. 语音转文字由企业微信官方提供，本技能不自行采集或上传用户语音至任何第三方

As a process F 30/100 · Will not run — References files that are not bundled: references/step_by_step_setup.md

IntegrationAI and agentstype 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
C
67/100
safety, quality, tests
Safety 60%
100
Quality 40%
18
Run on models
none yet
Process rating
F
30/100
Will not run
References files that are not bundled: references/step_by_step_setup.md
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning body-long SKILL.md body ≈ 6620 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/step_by_step_setup.md

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: references/step_by_step_setup.md
  • 0Tools and files. 1 referenced file(s) missing: references/step_by_step_setup.md
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 5 mutating operations with no state check
  • 70Execution cost. Instruction body is 6620 tokens
  • 100Steps. 153 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 14 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -240 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 87 headings
  • +3Step-by-step instructions: 153 items
  • +4Has examples (53 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 18.

External checks

ClawHub: suspicious
This appears to be a functional enterprise voice-assistant skill, but it needs Review because sensitive call, ticket, memory, and webhook data flows are broader and less secure than the privacy disclosures claim.
LLM: suspicious (high) · 2 Sept 2026