ingest-proceedings
ingest-proceedings is a Data pipelines & ETL skill for AI agents, published by acl-org in the acl-anthology repository on GitHub. Skillspace rates ingest-proceedings F (52/100) and it passed the safety scan; the rating is based on static analysis only.
Ingest ACL Anthology proceedings (main conferences AND colocated workshops) from ACLPUB or aclpub2 tarballs using bin/ingest.py. USE WHEN ingesting one or more proceedings repos/tarballs into the Anthology — a standalone/main event (create its <event> block), or workshops colocated under a parent event (e.g. acl-2026). Covers locating the ingestion root, pre-flight venue/volume validation (venue IDs, joint venues, ordinal/year venue names, volume-name consistency), running the script with the right flags, committing per volume, and recovering from common errors. DO NOT USE for editing existing volumes, author/name corrections, or website builds.
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 761
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 71 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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