verifying
Use when verifying information (fact, number, quote, event, statement) against authoritative primary sources, or cross-checking a number via one-level metric decomposition (Z = P × Q). Triggers: "verify X", "is this true", "find the original source", "where is this number from", "two sources disagree", "is it true X never did Y". Covers five scenarios: (1) basic truthfulness check, (2) completeness / out-of-context quoting, (3) one-level reasoning verification, (4) negative-statement handling, (5) multi-source conflict side-by-side output. Dig into whitelisted primary sources only (user-suppli
npx skills add genli-ai/market-research-skills --skill verifying --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Information Verification Skill > Bilingual skill. Chinese version: `SKILL.zh.md`. English is the single source of truth; the `.zh.md` is a synchronized translation — always edit the English first, then mirror the change into `.zh.md` in the same change-set, never edit only the Chinese. ## Purpose The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. **Basic truthfulness check**: whether the numbers / facts / quotes in the statement are accurate. 2. **Completeness**: when the source is correct but the user's quotation is out of context — supply the missing context. 3. **One-level reasoning verification**: when a direct number cannot be traced to a primary source, cross-check via metric decomposition (Z = P × Q). 4. **Negative statements**: detect unfalsifiable claims like "X has never done Y" and switch to a "search for a counter-example" path. 5. **Multi-source conflict**: when two authoritative sources disagree on the same figure, present them side-by-side with a
- Purpose
- Input
- Scope exclusions (refused topics)
- Scenario routing
- Response language
- Tool-call mapping (cross-LLM adaptation)
- Trusted-source whitelist
- On "representative list vs. exhaustive list"
- One — User-supplied files (highest priority)
- Two — Official websites and authoritative databases
- Three — Authoritative industry sources
- Sources NOT accepted as final
- Bilingual / multilingual principle
- Give-up criterion
What does the verifying skill do?
Use when verifying information (fact, number, quote, event, statement) against authoritative primary sources, or cross-checking a number via one-level metric decomposition (Z = P × Q). Triggers: "verify X", "is this true", "find the original source", "where is this number from", "two sources disagree", "is it true X never did Y". Covers five scenarios: (1) basic truthfulness check, (2) completeness / out-of-context quoting, (3) one-level reasoning verification, (4) negative-statement handling, (5) multi-source conflict side-by-side output. Dig into whitelisted primary sources only (user-suppli
How do I install it?
Run `npx skills add genli-ai/market-research-skills --skill verifying --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From genli-ai/market-research-skills, a repository with 57 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.