dockerfile-fix

dockerfile-fix is a skill for Claude Code from FrontisAI/NatureBench. It costs 56 tokens per session (3,477 once invoked), scanned A, original, MIT.

A repair step for a Dockerfile, which is the recipe used to build a software environment. It uses runtime verification errors to identify missing packages, failed imports, and version conflicts.

In plain words
What is it for?
Use it to update the Dockerfile and package list, resolve dependency problems, and make related script fixes when the required package cannot be installed.
Why use it?
It fixes environment problems that stop a benchmark task from building or running, including cases where an unavailable package requires a script change.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: agent in frontmatter; reads .claude/ paths; installed under .agents/ (shared by several agents).

Good fit Use it to update the Dockerfile and package list, resolve dependency problems, and make related script fixes when the required package cannot be installed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frontisai/naturebench/dockerfile-fix
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add FrontisAI/NatureBench --skill dockerfile-fix
Clone the repo
git clone --depth 1 https://github.com/FrontisAI/NatureBench

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 dockerfile-fix

README.md
[![agentmods](https://agentmods.dev/badge/skills/frontisai/naturebench/dockerfile-fix/github.svg)](https://agentmods.dev/skills/frontisai/naturebench/dockerfile-fix)
Your own site
<a href="https://agentmods.dev/skills/frontisai/naturebench/dockerfile-fix"><img src="https://agentmods.dev/badge/skills/frontisai/naturebench/dockerfile-fix/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 dockerfile-fix

Your own site · 80×15
<a href="https://agentmods.dev/skills/frontisai/naturebench/dockerfile-fix"><img src="https://agentmods.dev/badge/skills/frontisai/naturebench/dockerfile-fix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,477 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.03477
Opus 5.5 $0.00022 $0.01391
Sonnet 5.5 $0.00011 $0.00695
Haiku 4.5 $0.00006 $0.00348

Measured 2mo ago against content hash bfc4605682c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dockerfile-fix 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.

naturegym/.agents/skills/dockerfile-fix/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dockerfile Fix Skill

Fix Dockerfile issues discovered by runtime verification (batch_verify.sh). This skill diagnoses actual import failures, version conflicts, and missing dependencies from verify_result.txt, then repairs the Dockerfile, updates packages.json, and optionally fixes scripts when packages are unavailable.

Input

User provides:

  1. task_package_path: Path to the task package directory (containing problem/, evaluation/, environment/)
  2. dockerfile_name (optional): Name of the Dockerfile to fix. Default: Dockerfile.v3. Can also be Dockerfile or any other name.

Prerequisites

The following files must exist in {task_package_path}/environment/:

  • verify_result.txt — output from batch_verify.sh, with status "has failures" or "build failed"
  • packages.json — package manifest (see environment_guide.md Step 4)
  • {dockerfile_name} — the Dockerfile to fix

Reference Materials

Read these before starting:

Procedure

Phase 1: Diagnose

  1. Carry-forward check (mandatory before diagnosis): if dockerfile_fix_log.txt already records prior fix rounds for this Dockerfile, diff the current Dockerfile.v3 against the prior round's fixes. If the current Dockerfile is missing pins/RUN steps that earlier rounds added, the verify pipeline regressed to an earlier Dockerfile state — first re-merge all prior fixes into the current Dockerfile, then proceed to diagnose only the new failures. Do not start diagnosing fresh as if no history exists; you will keep re-deriving the same fixes round after round.

Read the full file on GitHub · 194 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. 2mo ago First seen · 194 lines · 56 tokens per session scan A bfc4605682c2

Subscribe to this mod's changes

dockerfile-fix is a skill published in the GitHub repository FrontisAI/NatureBench (137 stars, last pushed 17d ago), licensed MIT. It adds 56 tokens to every session and 3,477 once invoked, about $0.0002 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.

Related

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