Borrowing it
Nothing to install: this file belongs to costular/Minitask. 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/costular/Minitask/main/.agents/skills/compose-recomposition-performance/SKILL.mdgit clone --depth 1 https://github.com/costular/MinitaskWrote 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/costular/minitask/compose-recomposition-performance)<a href="https://agentmods.dev/skills/costular/minitask/compose-recomposition-performance"><img src="https://agentmods.dev/badge/skills/costular/minitask/compose-recomposition-performance/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/costular/minitask/compose-recomposition-performance"><img src="https://agentmods.dev/badge/skills/costular/minitask/compose-recomposition-performance.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 | $0.00065 | $0.00365 |
| Opus 5.5 | $0.00026 | $0.00146 |
| Sonnet 5.5 | $0.00013 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
compose-recomposition-performance 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 1mo 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.
This is a copy
95% identical to compose-recomposition-performance — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Compose recomposition performance
Router only — deep fixes live in compose-stability-diagnostics and compose-state-deferred-reads.
Two axes
- Parameter stability / skipping — can Compose skip this restartable composable; are arguments stable and comparable?
- Where
Stateis read — is frame-rateStateread during composition vs layout/draw?
Either axis can dominate; they combine independently.
Route here → focused skill
| Primary suspicion | Next skill |
|---|---|
Skipping, unstable params, compiler/composables.txt churn |
compose-stability-diagnostics |
Frame-rate State read phase (composition vs layout/draw) |
compose-state-deferred-reads |
| Evidence for both | Apply both skills in parallel |
Review order
- Decide which axis fits the evidence; open the matching skill.
- If unclear, sample both — stability churn vs composition-phase reads of fast
State. - Re-measure after changes.
When NOT to apply
- Recomposition tracks real data changes, or the bug is correctness not cost.
- No profiler / compiler signal suggests a problem.
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.
- 1mo ago First seen · 35 lines · 65 tokens per session scan A abe925425971
compose-recomposition-performance is a skill published in the GitHub repository costular/Minitask (12 stars, last pushed 6d ago), licensed Apache-2.0. It adds 65 tokens to every session and 365 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to compose-recomposition-performance, differing in 2 lines, and is treated as a copy.
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