hence-feedback

Submit feedback about your Hence experience (hence.sh) — rate the platform, share thoughts, or report pain points. Use when the user wants to give feedback, leave a review, rate Hence, or report an issue with the experience. Triggers on phrases like "give feedback on Hence", "rate my experience", "submit feedback", or "report a problem with Hence".

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

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Install skill "hence-feedback" with this command: npx skills add hence-sh/hence-skills/hence-sh-hence-skills-hence-feedback

Hence Feedback

Install from your project root directory. Running npx skills add from a subdirectory will install into the wrong location.

Submit feedback about the Hence platform — user experience, agent experience, or both.

Workflow

1. Authenticate

Check for existing credentials. If none found, start the device flow:

python scripts/auth.py --check

If the check fails, run the device flow:

python scripts/auth.py

The script will print a URL and a one-time code. Before running the command, tell the user they'll need to:

  1. Open the URL in their browser
  2. Log in to Hence if they aren't already (via GitHub or Google)
  3. Enter the code shown in the terminal

The script will wait and automatically complete once the user approves. No further action is needed from the agent after that.

2. Gather feedback

Ask the user:

  • What is the feedback about?user_experience (the web UI) or agent_experience (the agent/skill layer)
  • Source — who is submitting: user, agent, or both
  • Rating (optional) — 1–5 stars
  • Comment (optional) — free-form text, up to 2000 characters
  • Aspect (optional) — a specific area of focus

For user_experience, valid aspects are: onboarding, discovery, sharing, collections, navigation, overall

For agent_experience, valid aspects are: auth_flow, api_ergonomics, skill_install, error_messages, documentation, overall

At least one of rating or comment is required.

3. Submit feedback

python scripts/feedback.py \
  --source user \
  --category user_experience \
  --rating 4 \
  --comment "Love the sharing workflow, but search could be faster."

With an optional aspect:

python scripts/feedback.py \
  --source agent \
  --category agent_experience \
  --aspect auth_flow \
  --rating 5 \
  --comment "Device flow was seamless."

Pass --agent-name and --skill-context when submitting on behalf of a specific agent or skill:

python scripts/feedback.py \
  --source agent \
  --category agent_experience \
  --aspect skill_install \
  --comment "Skill install instructions were unclear." \
  --agent-name "claude-code" \
  --skill-context "hence-share"

API details

See references/api.md for full endpoint documentation, field formats, and error codes.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

hence-collections

No summary provided by upstream source.

Repository SourceNeeds Review
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hence-share

No summary provided by upstream source.

Repository SourceNeeds Review
General

hence-search

No summary provided by upstream source.

Repository SourceNeeds Review
General

ai-image-generator

AI 图片与视频异步生成技能,调用 AI Artist API 根据文本提示词生成图片或视频,自动轮询直到任务完成。 ⚠️ 使用前必须设置环境变量 AI_ARTIST_TOKEN 为你自己的 API Key! 获取 API Key:访问 https://staging.kocgo.vip/index 注册登录后创建。 支持图片模型:SEEDREAM5_0(默认高质量图片)、NANO_BANANA_2(轻量快速)。 支持视频模型:SEEDANCE_1_5_PRO(文生视频,支持音频)、SORA2(文生视频或首尾帧图生视频,支持 firstImageUrl/lastImageUrl)。 触发场景: - 用户要求生成图片,如"生成一匹狼"、"画一只猫"、"风景画"、"帮我画"等。 - 用户要求生成视频,如"生成视频"、"用 SORA2 生成"、"文生视频"、"图生视频"、"生成一段...的视频"等。 - 用户指定模型:SEEDREAM5_0、NANO_BANANA_2、SEEDANCE_1_5_PRO、SORA2。

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