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 skills add indranilbanerjee/neels-plugins --skill cf-briefgit clone --depth 1 https://github.com/indranilbanerjee/neels-pluginsWrote 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/neels-plugins/cf-brief)<a href="https://agentmods.dev/skills/indranilbanerjee/neels-plugins/cf-brief"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/neels-plugins/cf-brief/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/indranilbanerjee/neels-plugins/cf-brief"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/neels-plugins/cf-brief.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 | $0.00029 | $0.04598 |
| Opus 5.5 | $0.00012 | $0.01839 |
| Sonnet 5.5 | $0.00006 | $0.00920 |
| Haiku 4.5 | $0.00003 | $0.00460 |
Grade A, and why
cf-brief 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 2d 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
91% identical to cf-brief — 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 — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Brief Generator
Generate a comprehensive, research-backed content brief from a keyword or topic. The brief includes keyword data, competitor content analysis, search intent classification, audience pain points, a recommended outline, and an actionable SEO strategy — everything a writer needs to produce high-ranking content on the first draft.
When to Use
Use /contentforge:cf-brief when:
- You need a structured content brief before starting production with
/contentforge:create-content - You want data-driven keyword research to inform topic selection
- You need to analyze competitor content to find gaps and differentiation angles
- You're planning a content calendar and need briefs for multiple upcoming pieces
- A client or stakeholder requires a brief for approval before production begins
- You want to understand search intent before committing to a content type
For direct content production (brief + draft in one step), use /contentforge:create-content instead.
For multiple briefs, run /contentforge:cf-brief once per topic.
What This Command Does
- Keyword Research — Primary keyword analysis with search volume, keyword difficulty, related and semantically adjacent terms, and long-tail opportunities
- Competitor Content & E-E-A-T Analysis — Analyze top 5 ranking pages for word count, structure, key points covered, content gaps, unique angles, and E-E-A-T signals (author credentials, original research, first-hand experience)
- Search Intent Classification — Determine whether the query is informational, commercial, transactional, or navigational, and recommend content type accordingly
- Audience Pain Points & Questions — Map target audience needs, common questions, forum discussions, and "People Also Ask" patterns
- Recommended Outline — Generate a structured outline with title options, section descriptions, word count allocations, and citation targets per section
- SEO Strategy — Keyword placement plan, meta title/description recommendations, internal linking opportunities, featured snippet potential, and schema markup suggestions
- AEO/GEO Strategy — AI Overview presence check, citation-worthiness checklist, entity consistency, answer-block recommendations, honest llms.txt note (not a ranking/citation signal)
- Success Metrics — Define measurable goals: target word count, minimum citations, readability target, quality score goal (8.5+)
What ships with it
2 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.
- 2d ago First seen · 335 lines · 29 tokens per session scan A bd876e85b912
cf-brief is a skill published in the GitHub repository indranilbanerjee/neels-plugins (6 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 4,598 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to cf-brief, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
continuous-improvement-loop
Run the Part 12 continuous improvement loop into a quarterly brief for leadership. "produce the quarterly improvement brief".
yearly-planner
Produce the Part 8 yearly planner: quarterly themes and monthly initiatives. "plan the whole year month by month".
attribution-report
Run attribution on real conversion paths, comparing models. "which channels actually drive revenue".
validate-output
Validate content structure against a schema: sections, word counts. "scan for leftover placeholders".
add-integration
Add a custom MCP integration: scaffold the server, write .mcp.json, test it. "add a new MCP server".
client-proposal
Draft a client proposal or RFP response: scope, deliverables, KPIs, pricing tiers. "respond to this RFP".