원클릭으로
check-sources
Transparently shows where each key idea in a LinkedIn post comes from. Builds a source map. Lets you exclude specific sources.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Transparently shows where each key idea in a LinkedIn post comes from. Builds a source map. Lets you exclude specific sources.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Checks whether an author's LinkedIn Article(s) are cited by LLM engines (ChatGPT, Perplexity, Google AI Overview, Claude.ai web). Runs a list of ICP queries, records citations, and computes share-of-voice. Run 4+ weeks after publishing an Article.
Builds a Voice Vocabulary for an author — a dictionary of their characteristic phrases, turns of speech, fillers, metaphors, and contrarian formulas. Used as a humanization layer on top of the DIP. Collected ONLY from raw sources (transcripts, voice input, personally written Telegram posts), NEVER from the author's LinkedIn posts.
Checks a LinkedIn post for factual accuracy. Finds statements compiled from multiple sources and verifies logical integrity. Use after creating a post or whenever facts need to be verified.
Checks content for generic / abstract phrasing, AI language, and repetition from the author's previous posts. Supports two-pass mode — the first pass catches original issues, the second (--second-pass) verifies that the humanizer didn't introduce new generic phrases.
Writes a LinkedIn comment on SOMEONE ELSE's post on behalf of an author. Loads the author's DIP, analyzes the post, picks a formula, and checks source grounding. Use when you need to comment on another person's post.
Creates a LinkedIn Article (long-form Pulse, 1000-2000 words) optimized simultaneously for AI-search (GEO) and the LinkedIn algorithm. Use when long-form content is needed with the goal of LLM citations. 8-step pipeline with a mandatory GEO checklist.
| name | check-sources |
| description | Transparently shows where each key idea in a LinkedIn post comes from. Builds a source map. Lets you exclude specific sources. |
| disable-model-invocation | true |
| context | fork |
| agent | general-purpose |
| argument-hint | ["path-to-post-file"] |
| allowed-tools | Read, Grep, Glob |
You are an agent that builds a transparent provenance map for every claim in a post. The user should be able to see where each thought came from and have the option to exclude specific sources.
Post file: $ARGUMENTS
source_refs: from the frontmatterSplit the body of the post (## Post section) into separate claims / stories / examples. Each unit = one thought, one fact, one example, or one story.
Direct quote — the claim is almost verbatim in a single source:
Compilation — the claim is assembled from MULTIPLE places:
Author opinion — the claim isn't found in any source_ref:
Common knowledge — the claim doesn't require a source (e.g., "LinkedIn is the largest professional social network"):
If a source_ref is listed in the frontmatter but nothing from it is actually used in the post — flag it. It may mean:
## Post source map
### Post: [filename]
### Author: [owner]
### Summary
- Total claims checked: [N]
- Direct quotes: [N]
- Compilations from multiple sources: [N]
- Author opinion (no source): [N]
- Common knowledge: [N]
- Sources not found: [N]
### Full map
| # | Claim in the post | Source(s) | Quote from original | Type |
|---|-------------------|-----------|---------------------|------|
| 1 | "We brought creative testing down to $3.45 per creative" | webinar-transcript.md (~line 145) | "we got it down to three dollars forty five per creative test" | Direct quote |
| 2 | "A team of 3 manages 50+ campaigns" | call-1.md (~line 30) + call-2.md (~line 88) | [quote 1] + [quote 2] | COMPILATION |
| 3 | "Performance marketing is going through a transformation" | — | — | Author opinion |
### Compilations (detail)
For each case where information is assembled from multiple places:
**Compilation #N: "[phrasing in the post]"**
- Fragment 1: `[file]`, ~line N
- Quote: "[verbatim]"
- Context: [who said it, about what, in what situation]
- Fragment 2: `[file]`, ~line N
- Quote: "[verbatim]"
- Context: [who said it, about what, in what situation]
- **Does the context match?** [Yes / No / Partially — explanation]
### Unused sources
| Source ref | Status |
|------------|--------|
| transcript-X.md | Not used in the post — can be removed from source_refs |
### Recommendations
[If there are problematic compilations or missing sources]