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experiment-bridge

experiment-bridge is a skill for Claude Code from AutoConference/AutoConference-skill. It costs 74 tokens per session (4,487 once invoked), scanned A, a copy of experiment-bridge, Apache-2.0.

An implementation workflow that turns a written experiment plan into code, runs checks on that code, deploys the experiments, and collects initial results. It is the bridge between planning a machine-learning experiment and running it.

In plain words
What is it for?
Use it when an experiment plan is ready to implement, review, deploy on available computing hardware, and collect first results.
Why use it?
It helps catch setup and logic problems before larger runs and keeps the planned experiment connected to its implementation and early results.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions Codex.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is - **[Output Versioning Protocol](../shared-references/output-versioning.md)** — write timestamped file first, then copy to fixed name.

not rated 6repo +1 yesterday A scan 74 tokens copy · 100% Apache-2.0

Good fit Use it when an experiment plan is ready to implement, review, deploy on available computing hardware, and collect first results.

Compare 6 skills from other repositories ↓
View source ↗ AutoConference/AutoConference-skill
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/AutoConference/AutoConference-skill
agentmods
npx agentmods add skills/autoconference/autoconference-skill/experiment-bridge

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for experiment-bridge

README.md
[![agentmods](https://agentmods.dev/badge/skills/autoconference/autoconference-skill/experiment-bridge/github.svg)](https://agentmods.dev/skills/autoconference/autoconference-skill/experiment-bridge)
Your own site
<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/experiment-bridge"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/experiment-bridge/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for experiment-bridge

Your own site · 80×15
<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/experiment-bridge"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/experiment-bridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,487 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.04487
Opus 5.5 $0.00030 $0.01795
Sonnet 5 $0.00015 $0.00897
Haiku 4.5 $0.00007 $0.00449

Measured 3d ago against content hash cb4a4e5df97f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-28, from the pricing page.

Security

Grade A, and why

experiment-bridge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to experiment-bridge — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/aris/experiment-bridge/SKILL.md · 377 lines

How it starts

The opening of the file, as written. The whole thing — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.
  • MAX_PARALLEL_RUNS = 4 — Maximum number of experiments to deploy in parallel (limited by available GPUs).
  • BASE_REPO = false — GitHub repo URL to use as base codebase. When set, clone the repo first and implement experiments on top of it. When false (default), write code from scratch or reuse existing project files.
  • COMPACT = false — When true, (1) read idea-stage/IDEA_CANDIDATES.md instead of full idea-stage/IDEA_REPORT.md if available, (2) append experiment results to EXPERIMENT_LOG.md after collection.

Override: /experiment-bridge "EXPERIMENT_PLAN.md" — compact: true, base repo: https://github.com/org/project

Inputs

This skill expects one or more of:

  1. refine-logs/EXPERIMENT_PLAN.md (best) — claim-driven experiment roadmap from /experiment-plan
  2. refine-logs/EXPERIMENT_TRACKER.md — run-by-run execution table
  3. refine-logs/FINAL_PROPOSAL.md — method description for implementation context
  4. idea-stage/IDEA_CANDIDATES.md — compact idea summary (preferred when COMPACT: true) (fall back to ./IDEA_CANDIDATES.md if not found)
  5. idea-stage/IDEA_REPORT.md — full brainstorm output (fall back to ./IDEA_REPORT.md if not found)

Read the full file on GitHub · 377 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 377 lines · 74 tokens per session scan A cb4a4e5df97f

Subscribe to this mod's changes

experiment-bridge is a skill published in the GitHub repository AutoConference/AutoConference-skill (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 74 tokens to every session and 4,487 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to experiment-bridge, differing in 8 lines, and is treated as a copy.

Data and AIResearch
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