Jev Social Research
Use when researching social posts, creators, reactions, or trends.
Install
npx skills add kerpopule/hermes-jev-skills --skill jev-social-research -g -a claude-code -y- Repository
- kerpopule/hermes-jev-skills1.3k
- Category
- Engineering
- Updated
- 6d ago
- License
- MIT
- Context cost
- Mediumabout 2,434 tokens
- Runs scripts
- No, instructions only
What it does
Use when researching social posts, creators, reactions, or trends. Jev ranks discovery cards and decides when opened, source-linked evidence is enough for a bounded report.
Social research with Jev
Jev is the decision layer, not the social-network client and not the report writer. Use your normal API, fetch or browser tool to collect evidence. Jev ranks discovered posts and, only after a locally checked evidence floor is met, judges whether a bounded projection of that evidence answers the question. You read the sources and write the report.
A preview is not evidence
Track evidence depth explicitly. One source may carry more than one level:
| level | what was actually observed | what it can support |
|---|---|---|
discovery_card | A search result, profile tile or feed preview. | Choosing what to open. Never cite a discovery_card in the report. |
opened_post | The canonical post page, visible author/date and post text or caption. | Claims made by the post author. |
comments_read | The opened reply thread, with the visible sample boundary recorded. | What those observed commenters said, not what all users think. |
media_observed | The video, image, transcript or frames were actually read or played. | Only the parts observed; a thumbnail or media URL is not this level. |
An empty search page means no accessible result was observed for that query. It does not prove that the topic has no discussion.
Mandatory local gate before any Jev call
Apply this gate before constructing or serializing every outbound request:
