Repository
wanshuiyin/Anti-Autoresearch agent skills
- skills
- 5
- GitHub stars
- 160
GitHub description: “Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.”
- Stars
- 160 (8 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Jun 2026
- ai-generated-content
- ai-scientist
- autoresearch
- forensics
- llm-agents
- peer-review
- research-integrity
- ai-research
- aris
- claude
- claude-code
- claude-code-skills
- codex
- gpt
- llm
- machine-learning
Install all skills
npx skills add wanshuiyin/Anti-AutoresearchAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in wanshuiyin/Anti-Autoresearch, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Synthesize the single strongest EVIDENCE-BOUND reviewer case to reject a paper, built ONLY from the evidence ledger (claims.json) + the other auditors' confirmed findings — never free-floating LLM… | wanshuiyin/ | 160 | — | ~11k | Automated safety check: Notes | MIT | 5 days ago |
| 2 | Citation-integrity forensics: is every reference real, correctly attributed, and used in a context the cited work actually supports? | wanshuiyin/ | 160 | — | ~12k | Automated safety check: Notes | MIT | 5 days ago |
| 3 | Flagship intra-paper self-consistency forensics: does the paper contradict ITSELF across abstract/intro/tables/body/appendix, and does the method DESCRIBED match the method EVALUATED? | wanshuiyin/ | 160 | — | ~10k | Automated safety check: Notes | MIT | 5 days ago |
| 4 | Build the deterministic evidence ledger (artifactmanifest.json + claims.json) that every other Anti-Autoresearch auditor reads. | wanshuiyin/ | 160 | — | ~11k | Automated safety check: Notes | MIT | 5 days ago |
| 5 | Family-G proof & derivation integrity forensics: does a THIRD PARTY's written proof/derivation actually establish its theorem, or does it skip an obligation, assume its own conclusion, take an… | wanshuiyin/ | 160 | — | ~13k | Automated safety check: Notes | MIT | 5 days ago |
Questions, answered from the data.
What is the best skill in wanshuiyin/Anti-Autoresearch?
Adversarial Case Builder from wanshuiyin/Anti-Autoresearch ranks first of the 5 skills in wanshuiyin/Anti-Autoresearch listed here, with the highest score: its repository has 160 GitHub stars, its SKILL.md loads about 11k tokens and it has informational notes only in the automated safety check. Next come Citation Forensics and Consistency Audit.
Are the skills in wanshuiyin/Anti-Autoresearch official?
None yet. All 5 skills in wanshuiyin/Anti-Autoresearch listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from wanshuiyin/Anti-Autoresearch?
Run npx skills add wanshuiyin/Anti-Autoresearch in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.