paper-labeler
paper-labeler is a Literature review & citations skill for AI agents, published by PurCL in the ASE repository on GitHub. Skillspace rates paper-labeler F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Extract, filter, and label research papers from rawdata files (.bib, .html) using the two-level taxonomy defined in SKILL.md. Use this skill when the user wants to process new venue data, label papers, add new conferences to the database, run the paper classification pipeline, rebuild the website, or batch-process a folder of rawdata. Triggers: "label papers", "process rawdata", "process folder", "batch process", "add venue", "classify papers", "extract papers from", "run the labeling pipeline", "process .bib", "process .html", "rebuild website", "update website".
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 631
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
- mentions secrets in text
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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