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.
git clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/commands/abinauv/business-consulting/market-scan)<a href="https://agentmods.dev/commands/abinauv/business-consulting/market-scan"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/market-scan/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/commands/abinauv/business-consulting/market-scan"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/market-scan.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 | $0.00011 | $0.00225 |
| Opus 5 | $0.00005 | $0.00112 |
| Sonnet 5 | $0.00002 | $0.00045 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
market-scan 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.
What it actually says
Quick Market Scan
Conduct a rapid market scan for $ARGUMENTS.
Instructions
Deliver a concise market overview (2-3 pages) covering:
- Market Size & Growth: TAM estimate with source, 3-year CAGR, growth outlook
- Key Players: Top 5-7 competitors with estimated market share
- Industry Structure: Porter's Five Forces summary (rate each H/M/L in a table)
- Key Trends: Top 3-5 trends shaping the industry (include trend direction and timeframe)
- Regulatory Environment: Key regulations, recent changes, upcoming changes
- "So What" for the Client: 3-5 strategic implications
Use web search to find current data. For every data point, cite the source and year. Flag data confidence as High/Medium/Low.
Format as a structured report with action-oriented headers. Start with a 3-bullet executive summary.
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 · 24 lines · 11 tokens per session scan A 1b7f5bd16edf
market-scan is a command published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 11 tokens to every session and 225 once invoked, about $0.0001 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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