Updated 3w ago
by cpt13-g
build-research-evidence
面向 AI/CS 科研的多 Skill 实验智能体：助力全自动科研实验，以 Claim 驱动、骨干实验优先、独立结果审计与 Evidence Freeze，把发散的模型能力收束为可追溯、可复现、可收敛的论文证据。
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- 4 skills (4 skills found in its SKILL.md files)
- 0 forks (0 forks)
- 3w ago last update (Last updated 3w ago)
Install
Skills CLI
npx skills add cpt13-g/build-research-evidence
Asks which skills and agents to install. Just one: npx skills add cpt13-g/build-research-evidence --skill experiment-orchestrator — add -g for every project.
Claude Code
git clone https://github.com/cpt13-g/build-research-evidencecp -r "build-research-evidence/.agents/skills/experiment-orchestrator" ~/.claude/skills/
Copies the experiment-orchestrator skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add cpt13-g/build-research-evidence
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
-
experiment-orchestrator
Direct a claim-driven research experiment project from post-Idea intake through method realization, prioritized evidence collection, Human Gates, and Evidence Freeze. Use for scientific planning, state transitions, queues, budgets, or recovery; not for running code or independently auditing results.
.agents/skills/experiment-orchestrator/SKILL.md on GitHub (opens in a new tab) -
experiment-runner
Implement and execute approved research Experiment, Tuning, or Design Cards with reproducible logs, metrics, environment, and artifacts. Use for bounded coding, debugging, and runs; not for changing claims, priorities, budgets, or the Research Spine.
.agents/skills/experiment-runner/SKILL.md on GitHub (opens in a new tab) -
result-auditor
Validate and scientifically interpret completed research runs, including negative, null, boundary, confounded, failed, and inconclusive outcomes. Use after execution to assess evidence and claim impact; not to edit methods or schedule experiments.
.agents/skills/result-auditor/SKILL.md on GitHub (opens in a new tab) -
venue-evidence-audit
Audit recent high-relevance papers from a target venue to identify claim-relevant experimental evidence gaps after core P0 results exist. Use for venue completeness and reviewer-risk analysis; not for redefining the research question or running experiments.
.agents/skills/venue-evidence-audit/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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