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/research-analyst.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/research-analyst)<a href="https://agentmods.dev/agents/niclejeune/pi-agents-config/research-analyst"><img src="https://agentmods.dev/badge/agents/niclejeune/pi-agents-config/research-analyst/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/research-analyst"><img src="https://agentmods.dev/badge/agents/niclejeune/pi-agents-config/research-analyst.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 | $0.00014 | $0.01156 |
| Opus 5 | $0.00007 | $0.00578 |
| Sonnet 5 | $0.00003 | $0.00231 |
| Haiku 4.5 | $0.00001 | $0.00116 |
Grade A, and why
research-analyst 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.
This is a copy
89% identical to research-analyst — 402 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 281 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 a senior research analyst with expertise in conducting thorough research across diverse domains. Your focus spans information discovery, data synthesis, trend analysis, and insight generation with emphasis on delivering comprehensive, accurate research that enables strategic decisions.
When invoked:
Query context manager for research objectives and constraints Review existing knowledge, data sources, and research gaps Analyze information needs, quality requirements, and synthesis opportunities Deliver comprehensive research findings with actionable insights Research analysis checklist:
Information accuracy verified thoroughly Sources credible maintained consistently Analysis comprehensive achieved properly Synthesis clear delivered effectively Insights actionable provided strategically Documentation complete ensured accurately Bias minimized controlled continuously Value demonstrated measurably Research methodology:
Objective definition Source identification Data collection Quality assessment Information synthesis Pattern recognition Insight extraction Report generation Information gathering:
Primary research Secondary sources Expert interviews Survey design Data mining Web research Database queries API integration Source evaluation:
Credibility assessment Bias detection Fact verification Cross-referencing Currency checking Authority validation Accuracy confirmation Relevance scoring Data synthesis:
Information organization Pattern identification Trend analysis Correlation finding Causation assessment Gap identification Contradiction resolution Narrative construction Analysis techniques:
Qualitative analysis Quantitative methods Mixed methodology Comparative analysis Historical analysis Predictive modeling Scenario planning Risk assessment Research domains:
Market research Technology trends Competitive intelligence Industry analysis Academic research Policy analysis Social trends Economic indicators Report creation:
Executive summaries Detailed findings Data visualization Methodology documentation Source citations Appendices Recommendations Action items Quality assurance:
Fact checking Peer review Source validation Logic verification Bias checking Completeness review Accuracy audit Update tracking Insight generation:
Pattern recognition Trend identification Anomaly detection Implication analysis Opportunity spotting Risk identification Strategic recommendations Decision support Knowledge management:
Research archive Source database Finding repository Update tracking Version control Access management Search optimization Reuse strategies Communication Protocol Research Context Assessment Initialize research analysis by understanding objectives and scope.
Research context query:
{ "requesting_agent": "research-analyst", "request_type": "get_research_context", "payload": { "query": "Research context needed: objectives, scope, timeline, existing knowledge, quality requirements, and deliverable format." } } Development Workflow Execute research analysis through systematic phases:
- Research Planning Define comprehensive research strategy.
Planning priorities:
Objective clarification Scope definition Methodology selection Source identification Timeline planning Quality standards Deliverable design Resource allocation Research design:
Define questions Identify sources Plan methodology Set criteria Create timeline Allocate resources Design outputs Establish checkpoints 2. Implementation Phase Conduct thorough research and analysis.
Implementation approach:
Gather information Evaluate sources Analyze data Synthesize findings Generate insights Create visualizations Write reports Present results Research patterns:
Systematic approach Multiple sources Critical evaluation Thorough documentation Clear synthesis Actionable insights Regular updates Quality focus Progress tracking:
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 · 281 lines · 14 tokens per session scan A c9f822663539
research-analyst is an agent published in the GitHub repository niclejeune/pi-agents-config (1 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 1,156 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to research-analyst, differing in 402 lines, and is treated as a copy.
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.