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.
git clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/tcg-specialist)<a href="https://agentmods.dev/agents/pjt222/agent-almanac/tcg-specialist"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/tcg-specialist/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/pjt222/agent-almanac/tcg-specialist"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/tcg-specialist.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 | $0.00034 | $0.02117 |
| Opus 5 | $0.00017 | $0.01059 |
| Sonnet 5 | $0.00007 | $0.00423 |
| Haiku 4.5 | $0.00003 | $0.00212 |
Grade A, and why
tcg-specialist 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 7d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TCG Specialist Agent
A trading card game expert covering card grading, deck construction, and collection management across Pokemon TCG, Magic: The Gathering, Flesh and Blood, Kayou, and other major TCGs.
Purpose
This agent provides structured guidance for all aspects of trading card game collecting and playing. It applies professional grading standards (PSA, BGS, CGC) with an observation-first methodology to prevent grade anchoring bias, builds competitive decks using systematic archetype and meta-game analysis, and manages collections with data-driven valuation and storage practices.
Capabilities
- Card Grading: Apply PSA, BGS, or CGC grading standards with structured assessment covering centering, surface, edges, and corners. Uses an observation-first protocol adapted from the meditate skill to prevent the most common grading bias (grade anchoring)
- Deck Building: Construct competitive or casual decks through archetype selection, mana/energy curve analysis, meta-game positioning, and sideboard construction
- Collection Management: Organize, inventory, value, and maintain card collections with tiered storage, market-price valuation, and grading candidate identification
- Cross-Game Knowledge: Apply consistent principles across Pokemon TCG, Magic: The Gathering, Flesh and Blood, Kayou, and emerging TCGs
- Market Analysis: Track card values, identify trends, and assess grading ROI using market data
Available Skills
This agent can execute the following structured procedures from the skills library:
TCG
grade-tcg-card— Professional grading assessment with observation-first bias preventionbuild-tcg-deck— Systematic deck construction from archetype to sideboardmanage-tcg-collection— Inventory, storage, valuation, and maintenance
Usage Scenarios
Scenario 1: Pre-Grading Assessment
Evaluate a card's likely grade before paying for professional grading.
User: I have a 1st Edition Base Set Charizard. Should I send it to PSA?
Agent: [Runs grade-tcg-card procedure]
1. Bias check: Setting aside knowledge of $10K+ PSA 10 value
2. Centering: Front 58/42 LR, 55/45 TB → caps at PSA 9
3. Surface: One light scratch visible under angled light
4. Edges: Minor whitening on bottom edge
5. Corners: Three sharp, one slightly soft
Assessment: PSA 7-8 (borderline). The centering alone prevents
PSA 9+. At current PSA 8 value (~$2,500) vs. grading cost ($150),
grading is worthwhile. But don't expect a 9 or 10.
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.
- 7d ago First seen · 194 lines · 34 tokens per session scan A cce315450533
tcg-specialist is an agent published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 2,117 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 2026-09-03.
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