Skip to content
Back to skills

Scepticagent Prompts

ASecurity

ScepticAgent AI prompt reference. Use whenever the user asks about the prompts, wants to change analysis behaviour, modify what the AI looks for, adjust highlight categories or scoring, understand what instructions are sent to the AI, or tune the output format of analysis or highlights.

  • 2 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added September 1, 2026
documentationgo

Security analysis

A100/100

Scanned September 1, 2026

npx -y skills add Maros112358/scepticagent --skill scepticagent-prompts --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Scepticagent Prompts?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Scepticagent Prompts
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/maros112358-scepticagent-prompts/badge)](https://www.skillsdirectory.com/skills/maros112358-scepticagent-prompts)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: scepticagent-prompts
description: ScepticAgent AI prompt reference. Use whenever the user asks about the prompts, wants to change analysis behaviour, modify what the AI looks for, adjust highlight categories or scoring, understand what instructions are sent to the AI, or tune the output format of analysis or highlights.
---

## Prompt locations — all in `background.js`

### `buildAnalysisSystem(url, title, content)` — lines 658–705

Full page analysis system prompt. Instructs Claude to use `web_search` to verify claims, check source credibility, find supporting/opposing evidence, identify bias and emotional language. Page content truncated to 10000 chars.

Required output sections (renderer depends on these exact headings):
```
## Key Claims
## References & Sources
## Supporting Evidence
## Opposing Perspectives
## Bias & Framing
## Emotional Language
## Misinformation Risks
## Overall Assessment
```

Sources must be cited as inline markdown links e.g. `[Reuters](https://reuters.com/...)`.

---

### `buildChatSystem(url, title, content)` — lines 707–720

Chat follow-up system prompt. Instructs the agent to answer questions about the page using web search and cite sources as inline markdown links. Page content truncated to 10000 chars.

---

### `buildHighlightsPrompt(withSearch)` — lines 108–140

Extracts verbatim phrases from the page. Two modes:

- `withSearch: true` — includes STEP 1 (web_search for real URLs) / STEP 2 (output JSON). Used in manual "Highlight Page" after analysis is complete.
- `withSearch: false` — JSON output only, `source_url` left empty. Used in the auto fast scan on page open.

**Output JSON schema:**
```json
{
  "summary": "two sentences — what the article is about, then how emotional/factual/biased it is",
  "category_summaries": {
    "misinformation": "one sentence",
    "emotional": "one sentence",
    "bias": "one sentence",
    "supported": "one sentence",
    "logical": "one sentence"
  },
  "highlights": [
    {
      "phrase": "verbatim text from page (8–180 chars, no quote characters)",
      "category": "misinformation|emotional|bias|supported|logical",
      "note": "max 90 chars explanation",
      "source": "publication name or empty string",
      "source_url": "full URL or empty string"
    }
  ]
}
```

Constraints: max 25 highlights, phrases must appear verbatim on the page, no markdown code fences in output, no typographic quote characters in phrases.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.