Borrowing it
Nothing to install: this file belongs to martin-francois/symphony-trello. 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/martin-francois/symphony-trello/main/.codex/skills/java-streams-eval-capture/SKILL.mdgit clone --depth 1 https://github.com/martin-francois/symphony-trelloWrote 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/skills/martin-francois/symphony-trello/java-streams-eval-capture)<a href="https://agentmods.dev/skills/martin-francois/symphony-trello/java-streams-eval-capture"><img src="https://agentmods.dev/badge/skills/martin-francois/symphony-trello/java-streams-eval-capture/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/skills/martin-francois/symphony-trello/java-streams-eval-capture"><img src="https://agentmods.dev/badge/skills/martin-francois/symphony-trello/java-streams-eval-capture.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 | $0.00091 | $0.02697 |
| Opus 5 | $0.00046 | $0.01349 |
| Sonnet 5 | $0.00018 | $0.00539 |
| Haiku 4.5 | $0.00009 | $0.00270 |
Grade A, and why
java-streams-eval-capture 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 8d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Java Streams Eval Capture
Goal
When a Symphony for Trello change provides a reusable stream, collector, direct
result-producing collection API, or character-predicate equivalence lesson,
preserve the teaching example for the Java Streams skill. This includes cases
where a direct owning API is better than a stream or where a useful
stream-equivalence pattern appears inside another fluent API. Create or update
an issue in martinfrancois/java-streams-skill that stands on its own: it must
include the relevant code before the refactor, the prompt or review request that
triggered the change, the intermediate or rejected implementation when one
exists, the final preferred code, and why the final code is better.
When the stream improvement is prompted by a reviewer or user after Codex introduced the weaker stream shape, also capture the earlier prompt that caused Codex to write that shape. The eval issue must make the trigger failure explicit: the Streams skill should have activated during the original implementation prompt, not only during the later stream-refactor request.
When a later request reveals only that activation or eval capture was missed, even though the implementation was already preferred, capture both prompts and state that no code correction was needed. The eval must reward recognizing and capturing the reusable lesson without inventing a defect.
When a stream refactor is later found to be non-equivalent, over-allocated, over-abstracted, or worse than the original code, capture the full correction chain. Include the original code, the prompt that produced the weaker stream code, the weaker code, the later correction/revert prompt, and the final code. The eval must teach the skill to preserve behavior by default, and to call out any mutability, ordering, laziness, parser, exception, allocation, or side-effect change explicitly before recommending it.
When To Use
Use this skill whenever you:
- refactor Java code to use streams more clearly, lazily, or safely;
- replace a loop with a stream or a stream with a clearer stream shape;
- replace or remove a stream with a stronger direct collection API where the choice or equivalence boundary is reusable;
- simplify result-producing collection work inside
Optional.map(...)or a similar fluent mapping when the collection transformation itself presents a reusable lesson, even when the final code contains no.stream(); - replace a loop or character scan with a primitive stream and a match terminal when empty-input, UTF-16, or code-point semantics matter;
- replace an identity string reduction such as
.reduce("", String::concat)withCollectors.joining(), even when a related delimiter reduction was already captured; - fix stream short-circuiting, ordering, allocation, collector, Optional, or pipeline readability problems;
- accept a user-provided streams refactor;
- correct a streams refactor after review feedback;
- revert or repair a stream refactor because it changed behavior, allocation, mutability, ordering, laziness, parser semantics, or side-effect boundaries.
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.
- 8d ago First seen · 292 lines · 91 tokens per session scan A d149dbd6f53d
java-streams-eval-capture is a skill published in the GitHub repository martin-francois/symphony-trello (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 91 tokens to every session and 2,697 once invoked, about $0.0005 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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