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 2016judea/small-business-intelligence-mcp --skill small-business-teardowngit clone --depth 1 https://github.com/2016judea/small-business-intelligence-mcpWrote 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/2016judea/small-business-intelligence-mcp/small-business-teardown)<a href="https://agentmods.dev/skills/2016judea/small-business-intelligence-mcp/small-business-teardown"><img src="https://agentmods.dev/badge/skills/2016judea/small-business-intelligence-mcp/small-business-teardown/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/2016judea/small-business-intelligence-mcp/small-business-teardown"><img src="https://agentmods.dev/badge/skills/2016judea/small-business-intelligence-mcp/small-business-teardown.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 | $0.00052 | $0.00715 |
| Opus 5 | $0.00026 | $0.00358 |
| Sonnet 5 | $0.00010 | $0.00143 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
small-business-teardown 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 11d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Small business teardown
Nine of the eleven tools return a research framework, not an answer:
business_teardown, competitor_landscape, review_intelligence,
market_opportunity_scan, pricing_benchmark, local_visibility_audit,
broker_diligence_prep, data_source_atlas, compose_report.
Each returns framework, research_procedure, output_schema,
quality_rubric and caveats. You execute the procedure with web search.
Returning the framework to the user as though it were the finding is the failure
mode this skill exists to prevent.
Quick start
- Start with
business_teardownfor one named business, ormarket_opportunity_scanfor a category and metro. Pass the real name, city and state. - Execute its
research_procedurewith web search. Cite every claim. - Deepen with the tool that fits the gap the research opened:
- reviews say something the rating hides →
review_intelligence - "who else is doing this here" →
competitor_landscape - "are they priced right" →
pricing_benchmark - "why can't anyone find them" →
local_visibility_audit - "should I buy it" →
broker_diligence_prep
- reviews say something the rating hides →
- If the business is in the Twin Cities, add the actual records — what the
building sold for, who it is billed to, whether it carries a contamination
file. See the
twin-cities-property-recordskill. - Finish with
compose_reportfor section order, executive-summary rules, citation standards and tone for the audience.
Rules
Research fresh, date-stamp everything. Category multiples, prices and
review counts move. broker_diligence_prep deliberately refuses to carry a
hardcoded multiple table for this reason — research the range and stamp it with
the date you pulled it.
SDE, not net income. For any business being bought or sold, seller's
discretionary earnings is the relevant number, and what gets added back is the
argument. broker_diligence_prep sets out which add-backs are standard and
which are the seller's opinion.
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.
- 11d ago First seen · 64 lines · 52 tokens per session scan A e348cc8b3dab
small-business-teardown is a skill published in the GitHub repository 2016judea/small-business-intelligence-mcp (0 stars, last pushed 7d ago), licensed MIT. It adds 52 tokens to every session and 715 once invoked, about $0.0003 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 2026-08-31.
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