verify-apply

verify-apply is a skill for Claude Code, Codex from FrontisAI/NatureBench. It costs 56 tokens per session (795 once invoked), scanned A, original, MIT.

A correction step for verification results produced while checking filtered papers or extracted data. It applies the reported changes to the main result file and records what changed.

In plain words
What is it for?
Use it to apply either filter-verification or data-verification findings, repair changed fields or structures, and recheck newly added evaluation settings.
Why use it?
It keeps the workflow moving with corrected, consistently structured results instead of requiring earlier stages to be run again.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/frontisai/naturebench/verify-apply
Any agent
npx skills add FrontisAI/NatureBench --skill verify-apply
Clone the repo
git clone --depth 1 https://github.com/FrontisAI/NatureBench

Made for: Claude Code, Codex.

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 verify-apply

README.md
[![agentmods](https://agentmods.dev/badge/skills/frontisai/naturebench/verify-apply.svg)](https://agentmods.dev/skills/frontisai/naturebench/verify-apply)
Your own site
<a href="https://agentmods.dev/skills/frontisai/naturebench/verify-apply"><img src="https://agentmods.dev/badge/skills/frontisai/naturebench/verify-apply.svg" alt="Measured on agentmods" 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 795 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00056 $0.00795
Opus 5 $0.00028 $0.00398
Sonnet 5 $0.00011 $0.00159
Haiku 4.5 $0.00006 $0.00080

Measured 5d ago against content hash 410401c6304d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

verify-apply 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 5d 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.

allowed-tools: Read, Grep, Glob, Write, Bash(rm *), Bash(mkdir *), Bash(find *), Bash(ls *), Bash(git clone *), Bash(GIT_SSL_NO_VERIFY=1 git clone *), Bash(wget *), Bash(curl *), Bash(tar *), Bash(unzip *), Bash(gunzip *
naturegym/.claude/skills/verify-apply/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify-Apply Skill

Apply verification corrections to filter_result.json. Reads a verification result JSON, applies every correction/finding, and writes a change log.

Core Principle: Pipeline Continuity

After apply, filter_result.json must be directly consumable by the next pipeline stage — no re-runs of previous skills required.

  • filter-verify apply → output must match paper-filter output structure (ready for data-check)
  • data-verify apply → output must match data-check output structure (ready for task-build)

This means any new or structurally modified evaluation setting must have the same completeness as what the corresponding upstream skill would produce.

Note: If any concepts, operations, requirements, or explanations are unclear during implementation or adjustment, please refer to the documentation in the paper-filter and data-check skills for detailed guidance.

Input Requirements

Before invoking this skill, provide:

  1. Source type: filter-verify or data-verify
  2. Verification: Path to verification JSON
  3. Target: Path to filter_result.json to be modified

Workflow

Phase 1: Load

  1. Read the verification JSON
  2. Read the target filter_result.json
  3. Read references/apply_rules.md — use the section matching the specified source type

Phase 2: Apply Corrections

For filter-verify source

Apply every correction from checks with status: "fail".

  1. Iterate checks[].corrections[], apply each using path, action, recommended as defined in apply_rules.md § Field-Level
  2. If verdict.override is not null, apply the judgment override as defined in apply_rules.md § Judgment Override
For data-verify source

Apply every finding from checks with status: "fail" or status: "warning".

  1. V1/V3/V5 findings: field-level updates using field + recommended_value as defined in apply_rules.md § V1/V3/V5
  2. V2 findings: structural operations on evaluation_settings[]/rejected_settings[] as defined in apply_rules.md § V2
  3. V4 findings: file operations on data/ directory as defined in apply_rules.md § V4

Read the full file on GitHub · 74 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 74 lines · 56 tokens per session scan A 410401c6304d

Subscribe to this mod's changes

verify-apply is a skill published in the GitHub repository FrontisAI/NatureBench (112 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 795 once invoked, about $0.0003 per session on Opus 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.

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