trade-evaluation

trade-evaluation is a skill for Claude Code from derekrbreese/fantasy-football-skills. It costs 123 tokens per session (2,322 once invoked), scanned A, original, MIT.

A tool for judging a proposed fantasy-sports trade from both teams' perspectives. It considers whether the players would actually help each team's starting lineup, not just their general value.

In plain words
What is it for?
Use it to assess whether a specific offer is fair, whether to accept it, or which team benefits, using both rosters and league settings.
Why use it?
It prevents a trade from being judged using player rankings alone when roster needs, standings, scoring rules, timing, or injuries change the result.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the trade-analyzer plugin — 3 skills shipped together

Good fit Use it to assess whether a specific offer is fair, whether to accept it, or which team benefits, using both rosters and league settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/derekrbreese/fantasy-football-skills/trade-evaluation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add derekrbreese/fantasy-football-skills --skill trade-evaluation
Clone the repo
git clone --depth 1 https://github.com/derekrbreese/fantasy-football-skills

Made for: Claude Code.

Or install trade-analyzer, the plugin that ships this one along with the rest of its 3 skills.

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.

agentmods badge for trade-evaluation

README.md
[![agentmods](https://agentmods.dev/badge/skills/derekrbreese/fantasy-football-skills/trade-evaluation/github.svg)](https://agentmods.dev/skills/derekrbreese/fantasy-football-skills/trade-evaluation)
Your own site
<a href="https://agentmods.dev/skills/derekrbreese/fantasy-football-skills/trade-evaluation"><img src="https://agentmods.dev/badge/skills/derekrbreese/fantasy-football-skills/trade-evaluation/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.

agentmods 80×15 button for trade-evaluation

Your own site · 80×15
<a href="https://agentmods.dev/skills/derekrbreese/fantasy-football-skills/trade-evaluation"><img src="https://agentmods.dev/badge/skills/derekrbreese/fantasy-football-skills/trade-evaluation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,322 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.02322
Opus 5 $0.00062 $0.01161
Sonnet 5 $0.00025 $0.00464
Haiku 4.5 $0.00012 $0.00232

Measured 12d ago against content hash 14e74f94f9dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

trade-evaluation 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 12d 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.

plugins/trade-analyzer/skills/trade-evaluation/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trade Evaluation: Two-Sided Assessment

Judge a specific trade from both rosters' perspectives. Raw player value is the start, not the verdict — value only counts when it reaches a starting lineup.

Step 1: Load context

Read leagues.md from the project root first — the fields that matter here are scoring, starting slots, roster/bench size, playoff weeks, trade deadline, and whether trades face a veto vote. If the file is missing or blank, ask and suggest running fantasy-league-setup:league-config. If more than one league is defined, use the one marked (default).

Gather both full rosters, both records/standings, and the exact terms. Without the other team's roster only half an evaluation is possible — say so and evaluate provisionally.

For any in-season evaluation, make the timing explicit:

  • State the verdict as of a concrete date/time.
  • Refresh injuries, suspensions, depth-chart changes, and any same-week news if the inputs are stale or undated. Trade advice that turns on a Tuesday hamstring report should not be delivered as if it were timeless.
  • For any consequential injury-based value swing, require both the official team/game status and a second credible source. One unsupported report is not enough to move a player multiple tiers.

Step 2: Who originated the offer? — ask this first

An incoming offer is adversely selected. The proposer built it after looking at both rosters and concluded it helps them. That is not bad faith; it is what proposing means. It does change the prior:

  • Offers you received: require a clearly positive edge, not merely an even one. "Even" plus adverse selection is a small loss on average.
  • Offers you constructed: even is genuinely fine, and mutual benefit is the normal shape of a good trade.

This is the step most trade advice skips, and it flips the verdict on marginal incoming offers.

Step 3: Raw value pass

Assign each player a rest-of-season value from projections the user supplies, a consensus source read from the browser (name it and the date), or reasoned judgment (label it as such). Sum both sides. Live platform source routing. Honor a browser the user explicitly names. If leagues.md records a Preferred browser, use that when it has a signed-in session for the platform. Otherwise use any authenticated browser the current assistant already has. For Yahoo league data, prefer an authenticated browser over a connector. If a Yahoo connector returns 403, unauthorized, or an equivalent authorization failure, do not retry it during the same task. For non-Yahoo platforms, use a purpose-built connector when it is available and returns complete current data; otherwise use the browser. Read league rosters, the free-agent pool, standings, transaction history, and any rankings site directly instead of making the user paste them. Timestamp live data and name the source. The session rules from roster-ops apply unchanged: the user's session is the auth; never ask for, read, store, or type credentials; use the visible UI rather than platform endpoints; and stop and hand back on any login, 2FA, captcha, consent, or unusual-activity screen. If no usable live source exists, state the access gap and do not fabricate league-specific analysis.

Read the full file on GitHub · 89 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.

  1. 12d ago First seen · 89 lines · 123 tokens per session scan A 14e74f94f9dc

Subscribe to this mod's changes

trade-evaluation is a skill published in the GitHub repository derekrbreese/fantasy-football-skills (4 stars, last pushed 28d ago), licensed MIT. It adds 123 tokens to every session and 2,322 once invoked, about $0.0006 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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