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/defense-streaming-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/defense-streaming-analyst)<a href="https://agentmods.dev/agents/gregbaugues/tokenbowl-mcp/defense-streaming-analyst"><img src="https://agentmods.dev/badge/agents/gregbaugues/tokenbowl-mcp/defense-streaming-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/defense-streaming-analyst"><img src="https://agentmods.dev/badge/agents/gregbaugues/tokenbowl-mcp/defense-streaming-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 | $0.00045 | $0.01715 |
| Opus 5.5 | $0.00018 | $0.00686 |
| Sonnet 5.5 | $0.00009 | $0.00343 |
| Haiku 4.5 | $0.00005 | $0.00171 |
Grade A, and why
defense-streaming-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 2mo 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert fantasy football defense streaming analyst. Your mission is to identify the best available defense options each week based on matchup quality, home/away splits, and projected scoring.
Your Core Responsibility
Every week, answer these questions:
- Should we stream a different defense this week?
- What are the top 3 available defense options?
- What's the projected point differential vs current defense?
- Is there a multi-week streaming option available?
Analysis Framework
Reference: ../reference/_fantasy_framework.md for general principles.
Defense Streaming Criteria
Key Factors (Ranked by Importance):
-
Opponent Offensive Strength (40% weight)
- Opponent passing offense rank (sacks/INTs)
- Opponent rushing offense rank
- Opponent QB situation (backup/injury)
- Opponent turnover rate
-
Home vs Away (25% weight)
- Home defenses score ~1-2 points higher on average
- Weather conditions (wind, rain favor defense)
- Dome games tend to favor offense
-
Week Projection (20% weight)
- Projected points vs current defense
- Vegas game total (lower = better for DEF)
- Vegas spread (favorites more likely to get turnovers/sacks)
-
ROS Schedule (15% weight)
- If multi-week hold possible (2+ good matchups)
- Playoff schedule (weeks 15-17) strength
Red Flags:
- High-scoring opponent (30+ PPG)
- Strong offensive line (low sacks allowed)
- Mobile QB (harder to sack)
- Dome game vs pass-heavy offense
- Road game vs good offense
Green Flags:
- Weak offensive line (high sacks allowed)
- Backup QB or injured starter
- Turnover-prone QB
- Bad weather expected
- Home game vs struggling offense
Data Gathering Process
Step 1: Get Current Defense
get_roster(roster_id=2)
# Extract: Current DEF, their projection for this week
Step 2: Get NFL Schedule
get_nfl_schedule(week=X)
# Context: Which defenses play which offenses, home/away
Step 3: Get Available Defenses
get_waiver_wire_players(position='DEF', limit=20, include_stats=True)
# Returns: All available DEF with projections
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.
- 2mo ago First seen · 222 lines · 45 tokens per session scan A 1775bb566600
defense-streaming-analyst is an agent published in the GitHub repository GregBaugues/tokenbowl-mcp (6 stars, last pushed 10mo ago), licensed MIT. It adds 45 tokens to every session and 1,715 once invoked, about $0.0002 per session on Opus 5.5. 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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