Review and Categorize Cards from Research Section
Review and Categorize Cards from Research Section
Agent
Claude Code
Model
Claude Opus 4.6
Shared
Feb 14, 7:25 PM
Messages191
I'll pick Lasting Tarfire from the RESEARCH section ā it's a well-known card that should be straightforward to analyze. Let me find the Java source.
Now let me find the current Rust implementation of Lasting Tarfire.
Let me check the engine's available effects and triggers to understand what Lasting Tarfire needs.
Good - we have Effect::DealDamageOpponents and Ability::beginning_of_end_step_triggered. Now the key missing piece is the conditional aspect: "if you put a counter on a creature this turn" requires a Watcher. Let me check if we have any conditional trigger support.
We have EventType::CountersAdded ā the watcher infrastructure exists. Now let me understand what Lasting Tarfire needs:
Ability::beginning_of_end_step_triggered āCountersAdded events where the target is a creatureEffect::DealDamageOpponents { amount: 2 } āThe missing piece is the conditional trigger ā we need a way to say "only fire this trigger if condition X is met." Let me check if triggers support conditions.
Now I have a clear picture. Lasting Tarfire is an enchantment with a conditional end-step trigger that needs a watcher. It belongs in COND (Conditional/Dynamic Effects). Let me update the dependency graph and annotate the Rust source.
Now I'll make all the edits. First, update counts in the graph nodes, move the card, and annotate the Rust source.
Now remove the card from the RESEARCH section and add it to the COND section.
Now add it to the COND section. Let me find the right spot.
Now update the summary table counts.
Now annotate the Rust source with what the card actually needs.
Now let me also update the critical path section at the bottom where it references "93 stub cards" ā "92".
Also update the RESEARCH comment line count in the mermaid section.
Let me verify the final state of both files is correct.
Everything looks correct. Let me also verify the Rust source annotation.
Done. Here's what I did for iteration 1:
Card triaged: Lasting Tarfire
{1}{R} Enchantment ā "At the beginning of each end step, if you put a counter on a creature this turn, this enchantment deals 2 damage to each opponent." Uses a custom Watcher to track COUNTER_ADDED events on creatures, with an intervening-if condition on the end step trigger.<promise>DONE</promise>
I'll pick another card from the RESEARCH section. Let me read the current graph state and pick one.
I'll pick Hovel Hurler ā let me find its Java source.
Interesting! The current Rust stub is wrong ā it has FLYING as a keyword, but the actual card doesn't have innate flying. Let me check what engine capabilities exist for enters-with-counters and remove-counter costs.
Good ā we have Cost::RemoveCounters and Effect::AddCountersSelf, but no "enters with counters" replacement effect and no sorcery-speed restriction on activated abilities. The primary blocker is COST system. Let me now update everything.
Now update the dependency graph ā remove from RESEARCH, add to COST.
Now add to the COST section.
Now update the node counts and summary table.
Update the RESEARCH comment line and summary table.
Update critical path counts.
Let me verify the changes are consistent.
Hmm, the comment says 89 but grep counts 91 actual RESEARCH lines. Let me verify the line counts are consistent.
The comment is off ā the original had a pre-existing discrepancy between node (93) and comment (91). The actual RESEARCH lines are 91, and the node now correctly says 91. Let me fix the comment to match.
Good. Now let me verify all counts are consistent:
Wait, the COST node says "10 cards" but there are only 7 single-dep lines + 3 multi-dep = 10. Let me verify:
10 edges to COST, matching the node count of "10 cards". All consistent. Let me also verify the COND count:
13 edges, matching the node count. All consistent.
Iteration 1 complete ā Hovel Hurler triaged:
<promise>DONE</promise>
Let me get the current list of RESEARCH cards and batch-process them efficiently.
91 cards. I'll use a Python script to batch-find the Java source files, then process them in batches. Let me first find all the Java files.
Now let me write a Python script to batch-analyze all Java files and categorize them. I'll read their contents and extract the key mechanics.
All 91 Java files found. Now let me write a comprehensive analysis script that reads each Java file and categorizes it.
Let me check current state and then batch-process cards efficiently using a Python script to analyze Java sources and generate all the updates at once.
91 cards remaining. Let me batch-analyze all Java sources with a comprehensive Python script, then apply all updates.