Borrowing it
Nothing to install: this file belongs to wjsutton/pkmn_yellow_legacy_dbt. 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/wjsutton/pkmn_yellow_legacy_dbt/main/CLAUDE.mdgit clone --depth 1 https://github.com/wjsutton/pkmn_yellow_legacy_dbtWrote 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/instructions/wjsutton/pkmn_yellow_legacy_dbt/claude-md)<a href="https://agentmods.dev/instructions/wjsutton/pkmn_yellow_legacy_dbt/claude-md"><img src="https://agentmods.dev/badge/instructions/wjsutton/pkmn_yellow_legacy_dbt/claude-md/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/instructions/wjsutton/pkmn_yellow_legacy_dbt/claude-md"><img src="https://agentmods.dev/badge/instructions/wjsutton/pkmn_yellow_legacy_dbt/claude-md.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 | $0.01241 | $0.01241 |
| Opus 5 | $0.00620 | $0.00620 |
| Sonnet 5 | $0.00248 | $0.00248 |
| Haiku 4.5 | $0.00124 | $0.00124 |
Grade A, and why
pkmn_yellow_legacy_dbt CLAUDE.md 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project Objective
Find the best 6-pokemon team for every gym leader and all preceding trainers in Pokemon Yellow Legacy (ROM hack). Teams reset at each gym leader -- after defeating Brock, the entire team can change for the Misty segment.
Runs support parameters:
- Keep Pikachu: yes/no
- Use Legendary Pokemon: yes/no
- Rival Type: Jolteon, Vaporeon, or Flareon (each is a separate run)
Tasks
- Use the dbt mcp server to verify the following success criteria
- For any failures, modify the existing models in the dbt project use the dbt mcp server to support you
- Iterate untill the success criteria is met
Success Criteria
- Nidoking should be a potential teammate at Misty's gym (Badge_2)
- Lt Surge (Badge_3) should have the fewest positive matchups for the player
- The Rival should always have one of: Eevee, Jolteon, Vaporeon, or Flareon
- All dbt models should produce rows
- Staging layer tests: only unique and not_null on primary keys
- Each team has a maximum of 6 pokemon; single-use TMs can only be assigned once per team (verified by dbt test)
- The intermediate layer should have no tests
- Only 5 folders in models/ (staging, intermediate, marts, dashboard, semantic) with no files outside of folders
- Fewer files in the final layer (marts) than the intermediate layer
Tools & Environment
- Database: DuckDB
- Framework: dbt (data build tool) with dbt-duckdb adapter
- Virtual Environment:
.venv/Scripts/(Python, dbt, duckdb executables) - MCP Server: dbt MCP server available for column lineage queries
- Macros: Gen 1 battle mechanics (calculate_damage_rby, calculate_hp_rby, calculate_stat_rby, calculate_battle_outcome), run variant generation, TM efficiency
Required Skills
When working on this dbt project, use these skills from the dbt plugin:
dbt:using-dbt-for-analytics-engineering-- for building/modifying models, debugging errors, exploring data, writing testsdbt:adding-dbt-unit-test-- when adding unit tests for dbt modelsdbt:fetching-dbt-docs-- when looking up dbt features or syntax
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 · 76 lines · 1,241 tokens per session scan A 1a978e1e6cd8
pkmn_yellow_legacy_dbt CLAUDE.md is an instructions file published in the GitHub repository wjsutton/pkmn_yellow_legacy_dbt (5 stars, last pushed 2mo ago), licensed MIT. It adds 1,241 tokens to every session, about $0.0062 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.