freshness

freshness is a skill for Claude Code, Codex from thedaviddias/Front-End-Checklist. It costs 40 tokens per session (668 once invoked), scanned A, original, MIT.

A content-freshness check for pages that need to show when information was last changed, including through server headers and Article JSON-LD metadata.

In plain words
What is it for?
Use it when auditing content pages or updating Last-Modified headers and dateModified data after CMS edits.
Why use it?
It helps search engines and readers distinguish recently maintained content from pages that may be outdated.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when auditing content pages or updating Last-Modified headers and dateModified data after CMS edits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thedaviddias/front-end-checklist/freshness
About the project

Front-End Checklist is a collection of front-end web development rules organized as a practical review and quality workflow for people and AI agents. Developers use it to audit projects and pull requests, check implementation details, and find guidance for remediation and verification. The catalogue entries provide skills, instructions, MCP tools, and a plugin for using the checklist in agent workflows.

thedaviddias/Front-End-Checklist · 74,577 stars · on GitHub · frontendchecklist.io

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 thedaviddias/Front-End-Checklist --skill freshness
Clone the repo
git clone --depth 1 https://github.com/thedaviddias/Front-End-Checklist

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 freshness

README.md
[![agentmods](https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/freshness/github.svg)](https://agentmods.dev/skills/thedaviddias/front-end-checklist/freshness)
Your own site
<a href="https://agentmods.dev/skills/thedaviddias/front-end-checklist/freshness"><img src="https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/freshness/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 freshness

Your own site · 80×15
<a href="https://agentmods.dev/skills/thedaviddias/front-end-checklist/freshness"><img src="https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/freshness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 668 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 $0.00040 $0.00668
Opus 5.5 $0.00016 $0.00267
Sonnet 5.5 $0.00008 $0.00134
Haiku 4.5 $0.00004 $0.00067

Measured 23d ago against content hash d89b519ec84d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

freshness 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 23d 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.

skills/freshness/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Show content freshness signals

Google's Query Deserves Freshness (QDF) algorithm boosts recent or recently updated content for time-sensitive queries. Missing or stale freshness signals mean your updated content competes without the freshness advantage it deserves.

Quick Reference

  • Set the Last-Modified HTTP response header and include dateModified in Article JSON-LD on all content pages
  • Update dateModified only when content substantively changes — trivial edits should not alter the date
  • For time-sensitive topics (news, tutorials, product reviews), freshness directly influences Google's ranking of your content

Check

For each article or blog page: (1) Check the HTTP response Last-Modified header — is it set and recent? (2) Check the JSON-LD for a dateModified property in ISO 8601 format. (3) Is a visible 'Last updated' date shown to users? (4) Is the dateModified in JSON-LD consistent with the visible date and the Last-Modified header?

Fix

  1. Configure your web server to send Last-Modified headers based on the file modification time:
    • Nginx: add_header Last-Modified $date_gmt;
    • Apache: ensure mod_headers is enabled; static files serve Last-Modified automatically.
  2. Update Article JSON-LD to include dateModified:
    { "@type": "Article", "dateModified": "2024-11-20T14:30:00Z" }
    
  3. Add a visible "Last updated" date to the article template.
  4. Hook your CMS to update dateModified only when content is substantively changed (not on metadata-only saves).
  5. If using a static site generator (Next.js, Astro), pass the frontmatter updatedAt field through to the JSON-LD and <time> elements.

Explain

Google's freshness algorithm (QDF — Query Deserves Freshness) actively boosts recently published or updated content for searches where recency matters. If your dateModified is stale or absent, Google may not credit your content with the freshness it deserves, ranking older competitors above you even after you have updated the article.

Read the full file on GitHub · 55 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. 23d ago Changed d89b519ec84d
  2. 1mo ago First seen · 55 lines · 40 tokens per session scan A 095dc38514fa

Subscribe to this mod's changes

freshness is a skill published in the GitHub repository thedaviddias/Front-End-Checklist (74,577 stars, last pushed 21d ago), licensed MIT. It adds 40 tokens to every session and 668 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 2026-09-03.

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