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 Noibu/ai-plugin --skill build-business-contextgit clone --depth 1 https://github.com/Noibu/ai-pluginWrote 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/noibu/ai-plugin/build-business-context)<a href="https://agentmods.dev/skills/noibu/ai-plugin/build-business-context"><img src="https://agentmods.dev/badge/skills/noibu/ai-plugin/build-business-context/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/noibu/ai-plugin/build-business-context"><img src="https://agentmods.dev/badge/skills/noibu/ai-plugin/build-business-context.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 | $0.00227 | $0.05379 |
| Opus 5 | $0.00113 | $0.02690 |
| Sonnet 5 | $0.00045 | $0.01076 |
| Haiku 4.5 | $0.00023 | $0.00538 |
Grade A, and why
build-business-context 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 9d 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 — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Business Context (the MD file)
Noibu's analytics skills and Claude in general are dramatically more useful when they have real context about the business. Without it, they fall back on generic e-commerce assumptions and produce confidently wrong conclusions — flagging a PDP as "broken" when it has a deliberate minimum-order quantity, or treating B2B abandonment like B2C abandonment. This skill exists to capture that context once, in a single Markdown file the user can load into every session (or ship to their whole team), so nobody has to spend an hour pushing back to get to the truth.
Your job: produce one well-structured CLAUDE.md-style Markdown file by combining
(1) deep web research you run yourself and (2) a focused interview with the user about
things only they know. The output is a file — not a chat answer.
The section-by-section skeleton — and the model for tone, depth, and structure — lives in
references/md-template.md. Read it early; it is both the template to fill in and the
guide to the format the finished file should follow. The full bank of interview questions
lives in references/interview-questions.md.
How this works, end to end
- Context existence check - check if this domain already has context in Noibu. Resolve the domain and check for an existing context up front, so you don't do the work twice.
- Setup — a few quick questions so you know what this file needs to cover, including whether they have recorded calls (Gong / Fellow) you can mine.
- Research — you dispatch a subagent (or several in parallel) to do deep web research on the business, optionally pull and mine their recorded call transcripts, and come back with a draft of what was found.
- Interview — you ask the user, in small conversational batches, the things research and transcripts can't tell you.
- Assemble — you write the Markdown file, clearly marking anything still unconfirmed.
- Deliver — you save the file and hand it over, with notes on what to verify.
- Persist — you push the finished context into the Noibu backend so it's stored against the domain.
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.
- 9d ago First seen · 385 lines · 227 tokens per session scan A 7d279ce1dd2a
build-business-context is a skill published in the GitHub repository Noibu/ai-plugin (5 stars, last pushed 13d ago), licensed MIT. It adds 227 tokens to every session and 5,379 once invoked, about $0.0011 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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