A command for checking the status of running research experiments, which are controlled tests or computing jobs. It can also collect finished results and advance a research pipeline when all experiments are complete.

Use it to monitor all experiments or one pipeline, collect results from ended sessions, and optionally start the next research stage automatically.

It gives one place to see whether experiments are still running, have failed or become unusual, or have finished and need follow-up.

How skyllwt/AutoSci configures Claude Code

About the project

AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.

skyllwt/AutoSci · 1,706 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to skyllwt/AutoSci. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/exp-status/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/skyllwt/AutoSci

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/skyllwt/autosci/exp-status/github.svg)](https://agentmods.dev/skills/skyllwt/autosci/exp-status)

Your own site

<a href="https://agentmods.dev/skills/skyllwt/autosci/exp-status"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/exp-status/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/skyllwt/autosci/exp-status"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/exp-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,399 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00018	$0.02399
Opus 5.5	$0.00007	$0.00960
Sonnet 5.5	$0.00004	$0.00480
Haiku 4.5	$0.00002	$0.00240

Measured 2mo ago against content hash cb61eac1770d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

exp-status 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 2mo 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.

.claude/skills/exp-status/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/exp-status

Unified experiment status monitoring entry point. Scans all running experiments, performs a live status check on each (screen session / SSH), and outputs a status table (alive / anomaly / completed) to guide the user's next actions.

When used with /research --auto, acts as a periodic checker scheduled by CronCreate: when all experiments in a pipeline are completed, automatically triggers /research --start-from stage4.

Inputs

No arguments (default): check all running experiments, print status table
--pipeline <slug> (optional): check only experiments belonging to the specified pipeline; additionally print overall pipeline progress
--collect-ready (optional): auto-call /exp-run --collect for all experiments whose session has already ended
--auto-advance (optional, requires --pipeline <slug>): if all pipeline experiments are completed, automatically trigger /research --start-from stage4 without waiting for the user

Outputs

Status report (terminal output, all modes): list of experiments in running/anomaly/completed states
wiki/experiments/{slug}.md — updated (outcome/key_result/status) when --collect-ready triggers Phase 4
wiki/outputs/pipeline-progress.md — --auto-advance updates current_stage → stage4 (done internally by /research --start-from stage4)
wiki/log.md — appended status check log

Wiki Interaction

Reads

wiki/experiments/*.md — status, remote frontmatter (server/session/started), date_planned
wiki/outputs/pipeline-progress.md — in --pipeline mode, identifies target experiments and monitoring_cron_id

Writes

wiki/experiments/{slug}.md — updated via /exp-run --collect in --collect-ready mode
wiki/outputs/pipeline-progress.md — updated by /research when --auto-advance triggers Stage 4
wiki/log.md — appended status check log

Graph edges created

None (result writes triggered indirectly via /exp-run --collect do not produce new edges)

Read the full file on GitHub · 230 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.

2mo ago First seen · 230 lines · 18 tokens per session scan A cb61eac1770d

Subscribe to this mod's changes

exp-status is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 2,399 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Scientific

exp-status next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
exp-statusskyllwt/AutoSci	Skill	1.7k	1mo ago	MIT	A	18	Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code

AutoSci: Skill for Claude Code