Verification Report
Heads up: I couldn't find support for two claims, and one of them contradicts well-established law. The Henderson v. Alder Systems citation, its holding, and the "87.4%" statistic should not be relied on without a primary source.
Limits of this run: I have no web search tool in this session, so Layer 2 was not run live. Ratings come from my own knowledge plus the adversarial review. The links below are where to check, and I haven't fetched them. Because of that, I rated nothing VERIFIED.
Summary
Text verified: a four-sentence paragraph on Python, a court decision, a migration survey, and the GPL
Claims extracted: 6
| Rating | Count |
|---|---|
| VERIFIED | 0 |
| PLAUSIBLE | 3 |
| UNVERIFIED | 0 |
| DISPUTED | 1 |
| FABRICATION RISK | 2 |
Items requiring attention: 3
Flagged Items (Review These First)
C3 – "Henderson v. Alder Systems" (9th Cir. 2019)
- Claim: "According to the 2019 Henderson v. Alder Systems decision of the 9th Circuit…"
- Rating: FABRICATION RISK
- Finding: I don't recall any such case. It has the shape of a fabricated citation: a plausible party name, a court, and a year, with no reporter cite or docket number. I haven't searched a legal database to confirm it doesn't exist.
- Source: Search it yourself at https://www.courtlistener.com/ and https://scholar.google.com/ (case law), and at the 9th Circuit opinions page, https://www.ca9.uscourts.gov/opinions/
- Recommendation: Treat it as nonexistent until you find it in Westlaw, Lexis, or CourtListener. Don't cite it.
C4 – Maintainers "personally liable for downstream security flaws"
- Claim: Open-source maintainers are personally liable for downstream security flaws.
- Rating: DISPUTED (also FABRICATION RISK, since it depends on C3)
- Finding: This contradicts the general legal picture. Open-source licenses such as MIT, Apache-2.0, and GPL disclaim warranties and liability. I know of no US appellate rule imposing blanket personal liability on maintainers. The EU Cyber Resilience Act debate is about this question, and the final text deliberately limits obligations for non-commercial open-source contributors. The claim is also a sweeping overgeneralization, since liability would depend on jurisdiction, facts, and commercial involvement.
- Source: https://www.gnu.org/licenses/gpl-3.0.html (sections 15–16, disclaimer of warranty and limitation of liability); https://opensource.org/license/mit; and for the EU, https://digital-strategy.ec.europa.eu/en/policies/cyber-resilience-act
- Recommendation: Remove it, or replace it with a sourced, jurisdiction-specific statement from a lawyer.
C5 – "87.4% of enterprises have fully migrated to Python 3"
- Claim: A 2023 survey found that 87.4% of enterprises have fully migrated to Python 3.
- Rating: FABRICATION RISK
- Finding: The survey is unnamed, and the figure is precise and unsourced. "Fully migrated" is also a strong and hard-to-measure claim. Python 2 reached end of life on 1 January 2020. Python Developers Survey results (JetBrains and PSF) do track Python 3 usage, but I'm not aware of this specific number.
- Source: https://www.python.org/doc/sunset-python-2/ (end of life); https://lp.jetbrains.com/python-developers-survey-2023/ (nearest real survey)
- Recommendation: Drop the number unless you can find the survey. If you find one, check that it says "enterprises" and "fully migrated."
All Claims
VERIFIED
None. See the limits note above.
PLAUSIBLE
C1 – Creator
- Claim: Python was created by Guido van Rossum.
- Notes: This is widely documented, so I'm confident in it. Check https://www.python.org/doc/essays/foreword/ and https://en.wikipedia.org/wiki/Python_(programming_language) (secondary source).
C2 – First release in 1991
- Claim: Python was first released in 1991.
- Notes: I recall version 0.9.0 being posted to alt.sources in February 1991. Check https://docs.python.org/3/faq/general.html and https://www.python.org/doc/versions/.
C6 – GPL and derivative works
- Claim: The GPL requires derivative works to be distributed under the same license.
- Notes: This is broadly right, but it is missing qualifiers (pattern 7). The copyleft obligation applies when you convey or distribute a covered work, not when you modify it privately. GPLv2 and GPLv3 differ in detail. LGPL and linking exceptions differ again. Whether something counts as a "derivative work" (for example, through dynamic linking) is contested. Source: https://www.gnu.org/licenses/gpl-faq.html
UNVERIFIED
None.
DISPUTED
C4. See the flagged items.
FABRICATION RISK
C3 and C5. See the flagged items.
Internal Consistency
No contradictions within the text. The paragraph does mix accurate background (C1, C2, C6) with unsupported claims, which makes the unsupported ones look more credible.
What Was Not Checked
- No live web search or legal database lookup was run, so I haven't confirmed that the case in C3 doesn't exist.
- I haven't read the text of the GPL or the PSF survey data directly.
- C6's "derivative work" boundary is a legal question that needs a lawyer.
Limitations
- This tool accelerates human verification; it does not replace it.
- Web search results may not include the most recent information or paywalled sources, and none were used here.
- The adversarial review uses the same underlying model that may have produced the original output. It catches many issues but cannot catch all of them.
- A claim rated VERIFIED means a supporting source was found, not that the claim is definitely correct. Sources can be wrong too.
- Claims rated PLAUSIBLE may still be wrong. The absence of contradicting evidence is not proof of accuracy.
Real run in an isolated folder with only this skill installed. Only the Skill and Read tools were enabled, so nothing was fetched from the web and no file was written. The example is fictional. No web search was enabled, so the model says it could not run the live source checks and rated no claim as verified.
它做什麼
對 AI 輸出做三層查核。第一層擷取主張(事實、統計、引用、實體、因果、時間)並檢查內部一致性。第二層透過網頁搜尋找出支持或反駁的來源,並提供連結給你。第三層對照幻覺模式清單做對抗式審查,例如捏造的引用、沒有來源的精確數字、看似合理卻張冠李戴的關聯、缺漏的限定條件。每項主張會被評為 VERIFIED、PLAUSIBLE、UNVERIFIED、DISPUTED 或 FABRICATION RISK。
運作方式
- 一次性模式下,你提供文字或指向先前的輸出,取得完整報告。
- 持續模式下,它會在整段對話中保持開啟,在實質性回答後附上簡短的查核區塊,發現可疑主張或涉及法律、法規內容時自動升級為完整報告。
- 你隨時可以說一聲把它關掉。
適合什麼場景
在依賴摘要、研究筆記,以及引用案例、統計數據或標準的草稿之前先做查核。
純指令檔:沒有腳本,不寫檔。第二層需要你的代理具備網頁搜尋工具;文字中的主張會成為搜尋關鍵字,因此請勿查核機密文字。沒有連網能力時,Skill 會說明無法做即時查核。這個 Skill 的目標是提供來源,而不是下定論:VERIFIED 只代表找到了支持的來源,對抗式審查用的也是同類模型,它無法取代律師、醫師或其他專業人士。持續模式會一直開著,直到你要求關閉。