Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add teachskillofskills-ai/ContentForge-techshu/plugin install contentforgeWrote 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/teachskillofskills-ai/contentforge-techshu/content-refresh)<a href="https://agentmods.dev/skills/teachskillofskills-ai/contentforge-techshu/content-refresh"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/content-refresh/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/teachskillofskills-ai/contentforge-techshu/content-refresh"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/content-refresh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00177 | $0.04053 |
| Opus 5 | $0.00088 | $0.02027 |
| Sonnet 5 | $0.00035 | $0.00811 |
| Haiku 4.5 | $0.00018 | $0.00405 |
Grade A, and why
content-refresh 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.
This is a copy
100% identical to content-refresh — 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.
How it starts
The opening of the file, as written. The whole thing — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Refresh Workflow
Re-optimize existing content with updated research, current statistics, new sources, refreshed SEO keywords, and Phase 6.5 humanization — while preserving what's working and maintaining search rankings.
When to Use
Use /contentforge:content-refresh when:
- Content is 6+ months old and needs updated stats/examples
- Search rankings are declining (lost top 10 position)
- Competitor content has surpassed yours
- Product/service features have changed
- Industry landscape has shifted
- Content scored well originally (≥7.0) but needs freshening
What This Command Does
- Load Existing Content — Read the current .docx from wherever the brand's
tracking.backendstores it (local filesystem, Airtable attachment, or Google Drive) - Analyze What to Keep — Identify evergreen sections, high-performing segments
- Research Updates — Find current statistics, new sources, recent examples
- Selective Rewrite — Update outdated sections, preserve working content
- Re-run Quality Gates — Fact-check new claims, re-humanize, re-score
- SEO Preservation — Maintain target keywords, internal links, meta structure
- Version Control — Save as v1.1, v1.2 (never overwrite v1.0)
Required Inputs
Existing Content:
- Google Drive URL or File ID
- OR: Local .docx file path
Refresh Scope (select one):
- Light Refresh (20%): Update statistics, examples, citations only
- Medium Refresh (50%): Rewrite intro/conclusion, update 3-5 sections, add new research
- Heavy Refresh (80%): Complete rewrite using original as outline, keep only evergreen insights
Optional:
- New target keywords (if pivoting focus)
- Sections to preserve (mark as "DO NOT EDIT")
- Deadline (for priority ranking in batch)
How to Use
Basic Usage
/contentforge:content-refresh https://docs.google.com/document/d/XYZ123
Prompt: "What refresh scope? (light / medium / heavy)"
With Scope Specified
/contentforge:content-refresh https://docs.google.com/document/d/XYZ123 --scope=medium
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.
- 8d ago First seen · 393 lines · 177 tokens per session scan A bb1d503ea6e8
content-refresh is a skill published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 19d ago), licensed MIT. It adds 177 tokens to every session and 4,053 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to content-refresh, differing in 0 lines, and is treated as a copy.
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