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.
npx skills add FrontisAI/NatureBench --skill dockerfile-fixgit clone --depth 1 https://github.com/FrontisAI/NatureBenchWrote 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.
[](https://agentmods.dev/skills/frontisai/naturebench/dockerfile-fix)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.03477 |
| Opus 5.5 | $0.00022 | $0.01391 |
| Sonnet 5.5 | $0.00011 | $0.00695 |
| Haiku 4.5 | $0.00006 | $0.00348 |
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.
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:
- task_package_path: Path to the task package directory (containing
problem/,evaluation/,environment/) - dockerfile_name (optional): Name of the Dockerfile to fix. Default:
Dockerfile.v3. Can also beDockerfileor 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 (seeenvironment_guide.mdStep 4){dockerfile_name}— the Dockerfile to fix
Reference Materials
Read these before starting:
- environment_guide.md — Dockerfile generation logic, known compatibility issues, Script-First Rule, version conflict handling
- Dockerfile.base.v3 — base image packages and versions
- base_packages.json — base package list with import names
Procedure
Phase 1: Diagnose
- Carry-forward check (mandatory before diagnosis): if
dockerfile_fix_log.txtalready records prior fix rounds for this Dockerfile, diff the currentDockerfile.v3against 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.
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 · 194 lines · 56 tokens per session scan A bfc4605682c2
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.
dockerfile-fix compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dockerfile-fixFrontisAI/NatureBench | Skill | 137 | 17d ago | MIT | A | 56 | Claude Code |
| hermes-s6-container-supervisionNousResearch/hermes-agent | Skill | 261k | today | MIT | A | 20 | Claude Code, Codex |
| smoke-testgarrytan/gbrain | Skill | 32k | today | MIT | A | 79 | Claude Code |
| aks-troubleshootingmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 221 | Claude Code |
| competition-container-runtimezhaoxuya520/reverse-skill | Skill | 44k | 1mo ago | MIT | A | 109 | Codex |
| aks-gpu-inferencemicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 114 | Claude Code |
| aks-network-capturemicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 75 | Claude Code |