Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/teachskillofskills-ai/ContentForge-techshunpx agentmods add skills/teachskillofskills-ai/contentforge-techshu/cf-style-guideWrote 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/cf-style-guide)<a href="https://agentmods.dev/skills/teachskillofskills-ai/contentforge-techshu/cf-style-guide"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-style-guide/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/cf-style-guide"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-style-guide.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 | $0.00178 | $0.06041 |
| Opus 5 | $0.00089 | $0.03021 |
| Sonnet 5 | $0.00036 | $0.01208 |
| Haiku 4.5 | $0.00018 | $0.00604 |
Grade A, and why
cf-style-guide 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 10d 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 cf-style-guide — 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 — 485 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Style Guide Importer
Import brand voice profiles from existing style guide documents, URLs, or manual input. Extracts tone, formality, personality traits, writing style, approved/banned terminology, and compliance guardrails into a structured brand profile JSON that the ContentForge pipeline uses for every piece of content it produces.
When to Use
Use /contentforge:cf-style-guide when:
- You're onboarding a new brand and have an existing style guide document (.docx, .pdf) or URL
- You need to update an existing brand profile with revised guidelines
- You want to extract terminology and guardrails from compliance documents
- You're setting up ContentForge for a regulated industry (Pharma, BFSI, Healthcare, Legal) where guardrails are critical
- You want to validate that an existing brand profile matches current guidelines
- A client provided a style guide URL (Notion page, Google Doc, website page) and you need to import it
For creating a brand profile from scratch (no existing style guide), use /contentforge:brand-setup with interactive mode.
For using an existing brand profile, just reference it by name in /contentforge:create-content --brand=BrandName.
What This Command Does
- Load Style Guide — Fetch style guide from URL (via WebFetch), parse .docx/.pdf document, or accept manual input
- Extract Voice Characteristics — Identify tone (authoritative, conversational, technical, witty), formality level (1-5), personality traits, and writing style patterns
- Identify Terminology — Parse approved terms, banned/prohibited terms, industry-specific jargon, preferred spellings, and acronym definitions
- Parse Compliance Requirements — Extract guardrails, required disclaimers, prohibited claims, regulatory requirements, and sensitivity guidelines
- Capture Author Profiles (E-E-A-T) — If the style guide names authors/spokespeople (About/Team sections, byline conventions), extract name, title, credentials, bio, and profile URLs into
author_profiles; otherwise prompt for at least one default author (or an explicit "authorless" choice, recorded with its SEO/AEO trade-off). Only user-confirmed facts — never invent credentials - Configure the AI-Assistance Disclosure — Write the
ai_disclosureblock:{"mode": "claude-surfaces", "text": null, "author": null}by default. Explain the three modes plainly:claude-surfaces(default — the disclosure attaches when the pipeline runs on a Claude surface, or when the surface is uncertain; it is skipped only when a non-Claude harness is affirmatively detected),always(attach on every surface — the safest posture for brands with their own AI-transparency obligations),off(never attach; the brand owns that choice and its compliance implications). Theauthorfield is OPTIONAL and may stay null — the default wording ("reviewed by our editorial team") needs no name; when the brand does name someone, that name also feeds the E-E-A-T byline. Customtextreplaces the default verbatim — note that the default is deliberately vendor-neutral and claims only the review the pipeline performs; a brand adding stronger claims owns them - Generate Brand Profile JSON — Create or update a structured JSON profile following the
brand-registry-template.jsonschema - Save and Validate — Save profile to Google Drive (via MCP) or local cache using the brand-cache-manager pattern, and validate the profile works with the ContentForge pipeline
- Configure Tracking Backend — Choose where ContentForge tracks quality scores and delivers output files: Google Sheets + Drive, Airtable, or local filesystem
What ships with it
6 files 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.
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.
- 10d ago First seen · 485 lines · 178 tokens per session scan A 221e830b4b6e
cf-style-guide is a skill published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 20d ago), licensed MIT. It adds 178 tokens to every session and 6,041 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 cf-style-guide, differing in 0 lines, and is treated as a copy.
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