auto-research-claude-code
auto-research-claude-code is an Execution & autonomous loops skill for AI agents, published by airas-org in the airas repository on GitHub. Skillspace rates auto-research-claude-code 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.
Run an end-to-end automated ML research project with the AIRAS MCP tools where Claude Code itself authors the generation steps (hypothesis, experimental design, analysis, paper) using AIRAS's curated prompts via get_generation_prompt — no LLM provider API key required. Use when the user wants automated research with AIRAS but no LLM provider key (OPENAI_API_KEY etc.) is configured, or when they want you to write the research artifacts yourself. If backend LLM keys are configured and preferred, use the auto-research skill instead.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 29
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- 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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