agent-experiment

by hashiruu · indexed from github

一个 7×24 小时不间断运行,帮你跑实验、用 Git 维护公开仓库、更新 LaTeX(Overleaf)论文的科研自动化工作流。实测效率提升 25 倍。Claude Code Skill,一条命令装进任意项目。

这几行填进 scripts/run_task.sh 的"任务主体"那一段,文件里有注释标出位置。 然后 ./scripts/run_task.sh myrun 0——第一个参数是 tag(脚本里的 $TAG,用来隔离本次的输出目录、 日志和进度标记),第二个是 GPU 号($GPU,不填默认 0)。它做四件事:

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/hashiruu-agent-experiment — read its card at https://meshkore.com/agent/hashiruu-agent-experiment/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/hashiruu-agent-experiment
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hashiruu-agent-experiment/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

researchcodellm

Do you own agent-experiment?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.