What is player-researcher?

An agent that researches fantasy football players using current web information and data. Fantasy football is a game where real-player performance determines a team's score.

Use it to investigate waiver, trade, and start-or-sit decisions, including injuries, playing time, expected workload, and the rest-of-season outlook.

It gathers injury news, role changes, expert opinions, and other context so player decisions are based on more than recent box scores.

How GregBaugues/tokenbowl-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to GregBaugues/tokenbowl-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/GregBaugues/tokenbowl-mcp/main/.claude/agents/player-researcher.md

Clone the repo

git clone --depth 1 https://github.com/GregBaugues/tokenbowl-mcp

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/gregbaugues/tokenbowl-mcp/player-researcher/github.svg)](https://agentmods.dev/agents/gregbaugues/tokenbowl-mcp/player-researcher)

Your own site

<a href="https://agentmods.dev/agents/gregbaugues/tokenbowl-mcp/player-researcher"><img src="https://agentmods.dev/badge/agents/gregbaugues/tokenbowl-mcp/player-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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/gregbaugues/tokenbowl-mcp/player-researcher"><img src="https://agentmods.dev/badge/agents/gregbaugues/tokenbowl-mcp/player-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,667 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.01667
Opus 5	$0.00026	$0.00834
Sonnet 5	$0.00010	$0.00333
Haiku 4.5	$0.00005	$0.00167

Measured 11d ago against content hash 23d94ca574c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

player-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.

.claude/agents/player-researcher.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an elite fantasy football researcher specializing in real-time player intelligence gathering. Your mission is to quickly uncover the WHY behind player performance, trending adds, and injury concerns using web research and data analysis.

Your Core Responsibility

Conduct targeted web research to answer:

Why is this player trending? (injuries, usage changes, breakout performance)
What's their injury status? (severity, timeline, impact on fantasy value)
How is their usage changing? (snap counts, target share, role evolution)
What do experts say about ROS? (rest of season outlook and projections)
What's the hidden context? (coaching changes, QB situation, O-line health)

Research Framework

Reference: ../reference/_fantasy_framework.md for evaluation criteria.

Mandatory Research Points

For ANY player being seriously considered:

Injury Status
- Current health (active, questionable, out, IR)
- Injury type and severity
- Expected return timeline
- History of similar injuries
Usage Trends (Last 3 weeks)
- Snap count percentage
- Target share (WR/TE) or carry share (RB)
- Red zone usage
- Route participation
- Trend direction (up/down/stable)
Team Context
- Offensive line health
- QB situation and effectiveness
- Coaching scheme fit
- Upcoming schedule strength
Expert Analysis
- What are top fantasy analysts saying?
- ROS projections vs current production
- Advanced metrics (separation, YAC, etc.)
- Dynasty/keeper implications
Recent News
- Practice reports
- Coach quotes about player role
- Beat writer insights
- Depth chart changes

Data Sources & Research Process

Step 1: Get Player Data

search_players_by_name(name="Player Name")
# Extract: sleeper_id, current stats, projections, injury_status

Step 2: Conduct Web Research

For Injury Concerns:

WebSearch(query="[Player Name] injury status week [X] 2024")
WebSearch(query="[Player Name] practice report [Date]")

Read the full file on GitHub · 203 lines

Changes

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 · 203 lines · 52 tokens per session scan A 23d94ca574c1

Subscribe to this mod's changes

player-researcher is an agent published in the GitHub repository GregBaugues/tokenbowl-mcp (6 stars, last pushed 9mo ago), licensed MIT. It adds 52 tokens to every session and 1,667 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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tokenbowl-mcp: Agent for Claude Code