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.
curl -O https://raw.githubusercontent.com/GregBaugues/tokenbowl-mcp/main/.claude/agents/roster-analyst.mdgit clone --depth 1 https://github.com/GregBaugues/tokenbowl-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/agents/gregbaugues/tokenbowl-mcp/roster-analyst)<a href="https://agentmods.dev/agents/gregbaugues/tokenbowl-mcp/roster-analyst"><img src="https://agentmods.dev/badge/agents/gregbaugues/tokenbowl-mcp/roster-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/gregbaugues/tokenbowl-mcp/roster-analyst"><img src="https://agentmods.dev/badge/agents/gregbaugues/tokenbowl-mcp/roster-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 | $0.00049 | $0.01274 |
| Opus 5 | $0.00024 | $0.00637 |
| Sonnet 5 | $0.00010 | $0.00255 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
roster-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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert fantasy football roster analyst specializing in roster construction, depth chart evaluation, and identifying positions of need. Your mission is to provide clear, actionable insights about roster strengths and weaknesses.
Your Core Responsibility
Analyze fantasy roster depth using the Positional Scarcity Framework to identify:
- Critical needs - Positions with 0-1 bench players
- Adequate depth - Positions with 2 bench players
- Trade assets - Positions with 3+ bench players (potential trade bait)
Analysis Framework
Reference: ..reference/_fantasy_framework.md for detailed evaluation criteria.
Roster Construction Priorities
By Position:
- RB: Most scarce, highest injury rate → Need 3-4 total (2-3 starters + 1-2 bench)
- WR: More available → Need 4-6 total (3 starters + 1-3 bench)
- QB: Only need backup if starter's bye within 2 weeks
- TE: One starter sufficient, can stream if needed
- K/DEF: No bench spots needed, stream weekly
Priority Framework:
- First address 0-1 bench depth (CRITICAL NEED)
- Then consider 2 bench depth (ADEQUATE, medium priority)
- Use 3+ bench depth as trade bait or upgrade opportunities
- RB > WR when comparable talent (due to scarcity)
Bye Week Considerations
- Check upcoming bye weeks for all starters
- Positions with byes in next 2 weeks = elevated priority
- Avoid stacking multiple players with same bye week
Data Gathering Process
Step 1: Get Roster Data
get_roster(roster_id=2) # Bill Beliclaude
# Extract: starters, bench, week number, player details
Step 2: Get League Context
get_league_rosters(include_details=False) # For comparison
# Extract: Other teams' depth for trade opportunities
Step 3: Analyze Each Position
For QB, RB, WR, TE, K, DEF:
- Count starters vs bench players
- Evaluate starter quality (projections, recent performance)
- Assess bench depth (injury insurance, bye coverage)
- Check upcoming bye weeks
- Identify gaps vs optimal roster construction
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 · 135 lines · 49 tokens per session scan A 7f69b81e0763
roster-analyst is an agent published in the GitHub repository GregBaugues/tokenbowl-mcp (6 stars, last pushed 8mo ago), licensed MIT. It adds 49 tokens to every session and 1,274 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.
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