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 coleschaffer/copywritingskills-rmbc --skill unified-research-synthesizergit clone --depth 1 https://github.com/coleschaffer/copywritingskills-rmbcWrote 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/coleschaffer/copywritingskills-rmbc/unified-research-synthesizer)<a href="https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/unified-research-synthesizer"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/unified-research-synthesizer/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/coleschaffer/copywritingskills-rmbc/unified-research-synthesizer"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/unified-research-synthesizer.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 | $0.00035 | $0.01706 |
| Opus 5 | $0.00017 | $0.00853 |
| Sonnet 5 | $0.00007 | $0.00341 |
| Haiku 4.5 | $0.00003 | $0.00171 |
Grade A, and why
unified-research-synthesizer 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unified Research Synthesizer
Purpose
Merge all research pillars into one strategic document — the Unified Research Document. This is the single source of truth for all copy decisions: who the ICP is, what they want, what they fear, what competitors have already claimed, what proof exists, and what angles remain unclaimed. The output is NOT copy — it's the defensible foundation that makes every copy decision traceable to research.
Inputs
| Input | Required | Description |
|---|---|---|
product_description |
Yes | What the product/service is, what it does, key claims |
target_audience |
Yes | Who the copy is for — demographics, situation, buying context |
ingredient_research |
No | Proof points, studies, clinical data, mechanism details (from /ingredient-research) |
competitor_data |
No | Competitor ads, landing pages, claims, mechanisms, pricing |
customer_feedback |
No | Reviews, testimonials, survey responses, support tickets, coaching transcripts |
market_awareness_level |
No | Where the audience sits on the awareness spectrum: unaware, problem_aware, solution_aware, product_aware, most_aware. Default: auto-detect from inputs |
Execution Protocol
Step 1: Load Framework Context
Read rmbc-context/SKILL.md for RMBC methodology overview and quality dimensions. This skill bridges the Research and Brief phases — synthesizing all four research pillars into a copy-ready strategic document.
Step 2: Awareness Classification
Determine the audience's position on Eugene Schwartz's awareness spectrum. If market_awareness_level is not provided, infer from the product category, audience description, and any competitor data. This classification drives every downstream recommendation (copy length, directness, proof density, lead type).
Step 3: Psychographic Synthesis
Extract from customer_feedback, target_audience, and any available voice-of-customer data:
- Top 5 pains (ranked by emotional intensity and frequency)
- Top 5 desires (what they actually want, not what they say they want)
- Core objections and skepticism patterns
- Exact language patterns — phrases, slang, metaphors the audience uses naturally
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.
- 13d ago First seen · 154 lines · 35 tokens per session scan A aec63b6f37aa
unified-research-synthesizer is a skill published in the GitHub repository coleschaffer/copywritingskills-rmbc (30 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 1,706 once invoked, about $0.0002 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.
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