physics-intern-skills: Skill for Claude Code

.claude/skills/investigate-run/SKILL.md

investigate-run is a skill for Claude Code from huggingface/physics-intern-skills. It costs 129 tokens per session (9,516 once invoked), scanned A, original, no licence file.

A post-run review tool for examining how a PhysicsIntern research session proceeded and whether it followed the workspace’s instructions.

In plain words
What is it for?
Use it to audit sessions from Claude Code, Pi, Codex, or OpenCode and reconstruct what happened.
Why use it?
It helps find methodological mistakes or departures from the project’s documented process after a run finishes.

Skill for Claude Code ✓ vendor

Written for Claude Code: arguments in frontmatter. Also seen: agent in frontmatter.

This is huggingface/physics-intern-skills's own configuration. It tells Claude Code how to work on physics-intern-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything physics-intern-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to huggingface/physics-intern-skills. 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/huggingface/physics-intern-skills/master/.claude/skills/investigate-run/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/huggingface/physics-intern-skills

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 investigate-run

README.md
[![agentmods](https://agentmods.dev/badge/skills/huggingface/physics-intern-skills/investigate-run/github.svg)](https://agentmods.dev/skills/huggingface/physics-intern-skills/investigate-run)
Your own site
<a href="https://agentmods.dev/skills/huggingface/physics-intern-skills/investigate-run"><img src="https://agentmods.dev/badge/skills/huggingface/physics-intern-skills/investigate-run/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 investigate-run

Your own site · 80×15
<a href="https://agentmods.dev/skills/huggingface/physics-intern-skills/investigate-run"><img src="https://agentmods.dev/badge/skills/huggingface/physics-intern-skills/investigate-run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,516 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00129 $0.09516
Opus 5.5 $0.00052 $0.03806
Sonnet 5.5 $0.00026 $0.01903
Haiku 4.5 $0.00013 $0.00952

Measured 2mo ago against content hash 541d1f03fc23, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

investigate-run scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Rule 1 (coordinator-only)**: count main-agent tool calls by type. Flag any main-agent Write/Edit to `derivations/`, `computations/`, `critiques/CR-NNN.md` `## Findings`, `survey.md`, `answer.md`. Also scan main-agent
.claude/skills/investigate-run/SKILL.md · 375 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 375 lines · 129 tokens per session scan A 541d1f03fc23

Subscribe to this mod's changes

investigate-run is a skill published in the GitHub repository huggingface/physics-intern-skills (21 stars, last pushed 4mo ago), with no licence file. It adds 129 tokens to every session and 9,516 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

investigate-run compared with skills from other repositories

investigate-run next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
investigate-runhuggingface/physics-intern-skillsSkill214mo agononeA129Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code