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 agentmods add skills/indranilbanerjee/contentforge/content-refreshnpx skills add indranilbanerjee/contentforge --skill content-refreshgit clone --depth 1 https://github.com/indranilbanerjee/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/indranilbanerjee/contentforge/content-refresh)<a href="https://agentmods.dev/skills/indranilbanerjee/contentforge/content-refresh"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/contentforge/content-refresh.svg" alt="Measured on agentmods" 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 | $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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- content-refresh — 100% identical, 0 lines differ
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.
- 4d ago First seen · 393 lines · 177 tokens per session scan A bb1d503ea6e8
content-refresh is a skill published in the GitHub repository indranilbanerjee/contentforge (26 stars, last pushed 17d 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
aeo-audit
Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25 queries into a numbered output bundle with per-platform visibility scorecards, citation-accuracy checks, a competitor matrix, content gaps, and an optimization…
backlink-gap
Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers…
ab-test-plan
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers on…
aeo-geo
Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks across Knowledge Graph, Wikidata, Wikipedia, Crunchbase, and LinkedIn, and produces JSON-LD schema specs, monitoring frameworks, and a 90-day LLM content…
analytics-insights
Marketing measurement module — builds KPI trees per business model, reporting templates (weekly, monthly, QBR, campaign), anomaly root-cause diagnosis, MMM and incrementality guidance, dark-social tracking, and privacy-first cookieless measurement architecture, including the GA4 AI Assistant channel group for…
audience-intelligence
Audience research module — builds six-dimension buyer personas (demographic, psychographic, behavioral, need-state, information, decision), Jobs-to-Be-Done maps, RFM/behavioral/lifecycle segmentation models, anti-personas with exclusion criteria, B2B buying-committee maps, and lookalike seed specs. Triggers on…