experiment-bridge SKILL.md skillA
experiment-bridge from autoconference/autoconference-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add autoconference/autoconference-skill/experiment-bridge@git:20260924.6751570Pins git:20260924.6751570 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- autoconference/autoconference-skill
- Path
skills/aris/experiment-bridge/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260924.6751570, committed Sep 24, 2026
- Size
- 18,600 bytes
- Repository stars
- 13
- License
- Apache-2.0
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Workflow 1.5: Experiment Bridge Implement and deploy experiments from plan: **$ARGUMENTS** ## Overview This skill bridges Workflow 1 (idea discovery + method refinement) and Workflow 2 (auto review loop). It takes the experiment plan and turns it into running experiments with initial results. ``` Workflow 1 output: This skill: Workflow 2 input: refine-logs/EXPERIMENT_PLAN.md → implement → GPT-5.6-Sol review → deploy → collect → initial results ready refine-logs/EXPERIMENT_TRACKER.md code (cross-model) /run-experiment for /auto-review-loop refine-logs/FINAL_PROPOSAL.md ``` ## Constants - **CODE_REVIEW = true** — GPT-5.6-Sol xhigh reviews experiment code before deployment. Catches logic bugs before wasting GPU hours. Set `false` to skip. - **AUTO_DEPLOY = true** — Automatically deploy experiments after implementation + review. Set `false` to manually inspect code before deploying. - **SANITY_FIRST = true** — Run the sanity-stage experiment first (smallest, fastest) before launching the rest. Catches setup bugs early. …
Read the whole file at its exact version.
How to install
mdr add autoconference/autoconference-skill/experiment-bridge@sha256:cb4a4e5df97fb047The line at the top of this page pins the label git:20260924.6751570, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ugp4fejm53e5uo3a)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 24, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18600 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
autoconference/autoconference-skill · 13 stars · license Apache-2.0 · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ugp4fejm53e5uo3a GET https://markdownregistry.com/api/v1/resolve?ref=autoconference/autoconference-skill/experiment-bridge GET https://markdownregistry.com/api/v1/blob/cb4a4e5df97fb047e0ccbc7d952e4eb03231dcf7c7e56ebd94a6041dcc6d3880
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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