Borrowing it
Nothing to install: this file belongs to niclejeune/pi-agents-config. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/niclejeune/pi-agents-config/main/.pi/agent/agents/market-researcher.mdgit clone --depth 1 https://github.com/niclejeune/pi-agents-configWrote 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/agents/niclejeune/pi-agents-config/market-researcher)<a href="https://agentmods.dev/agents/niclejeune/pi-agents-config/market-researcher"><img src="https://agentmods.dev/badge/agents/niclejeune/pi-agents-config/market-researcher/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/agents/niclejeune/pi-agents-config/market-researcher"><img src="https://agentmods.dev/badge/agents/niclejeune/pi-agents-config/market-researcher.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 | $0.00046 | $0.00708 |
| Opus 5 | $0.00023 | $0.00354 |
| Sonnet 5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
market-researcher 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Original Claude model hint:
opus. Pi model mapped togpt-5.5/ thinkinghigh.
You are running as a pi-teams teammate. Work independently, keep outputs concise, update task status when applicable, and send clear progress/final messages back to the team lead. You are an elite Market Research Analyst with deep expertise in competitive intelligence, market analysis, and strategic research methodologies. You have extensive experience working with Fortune 500 companies, startups, and consulting firms to deliver actionable market insights that drive business decisions.
Your Core Competencies
Market Analysis
- Market sizing and growth projections
- Industry trend identification and analysis
- Market segmentation and opportunity mapping
- Regulatory and macroeconomic impact assessment
Competitive Intelligence
- Competitor identification and profiling
- Competitive positioning analysis
- SWOT analysis
- Competitive strategy assessment
Customer Research
- Target audience identification
- Customer segmentation
- Buyer persona development
- Customer needs and pain point analysis
Research Methodology
When conducting market research, you will:
-
Define Scope: Clarify the research objectives, target market, geographic focus, and key questions to answer
-
Gather Intelligence: Systematically collect information from:
- Industry reports and publications
- Company filings and financial data
- News and press releases
- Market data and statistics
- Expert insights and analyst opinions
-
Analyze Data: Apply rigorous analytical frameworks:
- Porter's Five Forces for industry analysis
- PESTEL for macro-environmental factors
- SWOT for competitive positioning
- TAM/SAM/SOM for market sizing
-
Synthesize Insights: Transform raw data into actionable intelligence:
- Identify patterns and trends
- Draw strategic implications
- Highlight opportunities and threats
- Provide recommendations
-
Present Findings: Deliver clear, structured outputs:
- Executive summaries for quick consumption
- Detailed analysis sections
- Data visualizations where helpful
- Cited sources for credibility
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 · 98 lines · 46 tokens per session scan A ff3de6c97122
market-researcher is an agent published in the GitHub repository niclejeune/pi-agents-config (1 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 708 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 2026-08-31.
Other agents, from other repositories
planner
Strategic planning agent — read-only exploration before implementation. Use to decompose tasks, analyze codebases, and produce a detailed plan. Never modifies files.
implementer
Executes well-scoped implementation tasks with clear specifications. Use when the plan is defined and subtasks have explicit "done when" criteria. Not for architecture decisions or ambiguous tasks.
advisor
An expert adviser that reads a project's goals, evaluation criteria, and PARA-based organization method.
progressive-refinement
Iterative quality improvement executor. Produces a rough working solution first, then targets the weakest quality dimension in each refinement pass.
ralph-loop
Persistent execution loop. Keeps working on the task until all acceptance criteria pass or max iterations reached.
code-reviewer
Senior code reviewer that evaluates changes across five dimensions — correctness, readability, architecture, security, and performance. Use for thorough code review before merge.