audit-content

audit-content is a command for Claude Code from teachskillofskills-ai/ContentForge-techshu. It costs 14 tokens per session (501 once invoked), scanned A, a copy of audit-content, MIT.

A content-library audit that checks whether existing articles are becoming outdated and whether important topics are missing.

In plain words
What is it for?
Use it to find stale articles, missing subjects, weak coverage, and opportunities to improve content using a folder, website, CSV, or pasted list.
Why use it?
It replaces a manual review of many pages with a structured check of freshness, links, statistics, citations, and coverage gaps.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the contentforge plugin — 22 skills, 9 commands, 13 agents shipped together

Good fit Use it to find stale articles, missing subjects, weak coverage, and opportunities to improve content using a folder, website, CSV, or pasted list.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/teachskillofskills-ai/contentforge-techshu/audit-content
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.

Clone the repo
git clone --depth 1 https://github.com/teachskillofskills-ai/ContentForge-techshu

Made for: Claude Code.

Or install contentforge, the plugin that ships this one along with the rest of its 22 skills, 9 commands, 13 agents.

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 audit-content

README.md
[![agentmods](https://agentmods.dev/badge/commands/teachskillofskills-ai/contentforge-techshu/audit-content/github.svg)](https://agentmods.dev/commands/teachskillofskills-ai/contentforge-techshu/audit-content)
Your own site
<a href="https://agentmods.dev/commands/teachskillofskills-ai/contentforge-techshu/audit-content"><img src="https://agentmods.dev/badge/commands/teachskillofskills-ai/contentforge-techshu/audit-content/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 audit-content

Your own site · 80×15
<a href="https://agentmods.dev/commands/teachskillofskills-ai/contentforge-techshu/audit-content"><img src="https://agentmods.dev/badge/commands/teachskillofskills-ai/contentforge-techshu/audit-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 501 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.
Origin 100% copy Near-identical to another mod 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 $0.00014 $0.00501
Opus 5 $0.00007 $0.00251
Sonnet 5 $0.00003 $0.00100
Haiku 4.5 $0.00001 $0.00050

Measured 8d ago against content hash 8b4961806a58, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

audit-content 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 8d 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.

Origin

This is a copy

100% identical to audit-content — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

commands/audit-content.md · 46 lines

What it actually says

Audit Content

This command is a thin wrapper. The complete audit procedure — including the canonical freshness scoring model — lives in skills/cf-audit/SKILL.md. Read that file and execute it end to end. Do not improvise a different scoring model here.

Trigger

User runs /contentforge:audit-content or asks to audit their content, check for content decay, find content gaps, or assess content health.

Gather inputs

If not provided in the arguments, ask before proceeding:

  1. Content source — Google Drive folder URL, WordPress site URL, CSV file (columns: title, url, publish_date, content_type, word_count), or a pasted list
  2. Audit scopefreshness | gaps | both (default)
  3. Optional — aging threshold in months (default 12), brand filter, target keywords CSV, competitor URLs

Canonical scoring (defined in the skill — summarized here for orientation only)

Freshness = 4 factors: Age 35% / Statistics currency 25% / Link health 20% / Citation recency 20%. Bands: Fresh 90-100, Good 70-89, Aging 50-69, Stale 30-49, Expired 0-29. The skill file is authoritative if this summary ever disagrees.

Execute

Follow skills/cf-audit/SKILL.md in full: load inventory → freshness scoring → coverage gap analysis → performance analysis (if analytics connected) → prioritized recommendations (refresh / new / retire).

After the audit

Ask: "Would you like me to:

  • Create content briefs for the top gap opportunities? (/contentforge:content-brief)
  • Start refreshing the highest-priority piece? (/contentforge:content-refresh)
  • Build a quarterly content calendar from these recommendations? (/contentforge:cf-calendar)
  • Re-research the SERP and competitors for a specific topic in depth? (/contentforge:cf-brief)
  • Export this audit to a spreadsheet?"
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. 8d ago First seen · 46 lines · 14 tokens per session scan A 8b4961806a58

Subscribe to this mod's changes

audit-content is a command published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 19d ago), licensed MIT. It adds 14 tokens to every session and 501 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to audit-content, differing in 0 lines, and is treated as a copy.