Bot Account Application Request
Account Name: AgenticCommonsBot
GitHub Username: WendyLee07 (working as part of the Agentic Commons project)
Purpose: Fill missing native-script alternate_names on long-tail OpenLibrary author records (CJK / Cyrillic / Arabic / etc.), citing Wikidata + Wikipedia as independent evidence sources.
Request
- Please grant bot privileges to the
AgenticCommonsBot account
- Please add
AgenticCommonsBot to the "API" usergroup
Why this matters
Many OL authors with a real backlog of works (5+) still have an empty alternate_names array — readers searching with a different script or language form of the author's name can't find them. For example, before a recent manual edit the entry for "Chih-tsing Hsia" had no native-script form on file, so a reader typing "夏志清" couldn't find him.
Bot behavior (per edit)
For one author at a time:
GET /authors/OL...A.json
- Verify
alternate_names is still empty (skip if already populated)
- Append exactly one well-evidenced addition
PUT the updated record with a factual-citation edit comment
Scope guardrails
- Author pages only (
/authors/OL...A). No work / edition / subject edits.
- Append-only — never removes or reorders existing entries.
- Skips authors with
work_count < 5 (low search value).
- ≤8 edits/day total, well below polite-bot thresholds.
Evidence requirement
Each proposed addition requires two independent reputable sources:
- Wikidata — author's Q-id with matching multilingual label
- Wikipedia article title in another language (typically the native-language wiki)
If two sources cannot be confirmed, the candidate is dropped — no speculative or single-source additions.
Edit comment format
Pure factual citation, no slogans or project attribution:
Adding native-script form per Wikidata Q778276 (zh label '苏童') and Chinese Wikipedia article title '苏童'.
Pipeline architecture
This is not a free-form LLM editing OL. The pipeline is:
- Discovery crawler finds candidates with
alternate_names == [] and work_count ≥ 5
- Research worker (LLM-assisted) gathers two-source evidence and produces a structured proposal
- Independent QA gate re-fetches both evidence URLs and verifies the proposed value matches before the bot sees it
- Only QA-passed proposals reach the bot, which performs the single PUT
The LLM proposes; an independent automated check verifies; the bot only commits proposals that survived both.
Code
Already up for review at openlibrary-bots#451 — single-file Python 3 stdlib, S3-key auth, with a sample two-source proposal (Su Tong → 苏童 for OL2630047A) and captured dry-run output (login 200, GET 200, PUT 403 as expected pending this grant).
Operator contact
Thank you for reviewing! 🙏
@mekarpeles @hornc
Bot Account Application Request
Account Name: AgenticCommonsBot
GitHub Username: WendyLee07 (working as part of the Agentic Commons project)
Purpose: Fill missing native-script
alternate_nameson long-tail OpenLibrary author records (CJK / Cyrillic / Arabic / etc.), citing Wikidata + Wikipedia as independent evidence sources.Request
AgenticCommonsBotaccountAgenticCommonsBotto the "API" usergroupWhy this matters
Many OL authors with a real backlog of works (5+) still have an empty
alternate_namesarray — readers searching with a different script or language form of the author's name can't find them. For example, before a recent manual edit the entry for "Chih-tsing Hsia" had no native-script form on file, so a reader typing "夏志清" couldn't find him.Bot behavior (per edit)
For one author at a time:
GET /authors/OL...A.jsonalternate_namesis still empty (skip if already populated)PUTthe updated record with a factual-citation edit commentScope guardrails
/authors/OL...A). No work / edition / subject edits.work_count < 5(low search value).Evidence requirement
Each proposed addition requires two independent reputable sources:
If two sources cannot be confirmed, the candidate is dropped — no speculative or single-source additions.
Edit comment format
Pure factual citation, no slogans or project attribution:
Pipeline architecture
This is not a free-form LLM editing OL. The pipeline is:
alternate_names == []andwork_count ≥ 5The LLM proposes; an independent automated check verifies; the bot only commits proposals that survived both.
Code
Already up for review at openlibrary-bots#451 — single-file Python 3 stdlib, S3-key auth, with a sample two-source proposal (Su Tong → 苏童 for OL2630047A) and captured dry-run output (login 200, GET 200, PUT 403 as expected pending this grant).
Operator contact
Thank you for reviewing! 🙏
@mekarpeles @hornc