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.
npx skills add korchard333/claude-power-platform-community --skill perf-optimisegit clone --depth 1 https://github.com/korchard333/claude-power-platform-communityWrote 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/korchard333/claude-power-platform-community/perf-optimise)<a href="https://agentmods.dev/skills/korchard333/claude-power-platform-community/perf-optimise"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/perf-optimise/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/korchard333/claude-power-platform-community/perf-optimise"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/perf-optimise.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 | $0.00048 | $0.03293 |
| Opus 5 | $0.00024 | $0.01647 |
| Sonnet 5 | $0.00010 | $0.00659 |
| Haiku 4.5 | $0.00005 | $0.00329 |
Grade A, and why
perf-optimise scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
sleep $(curl -sI ... | grep Retry-After | awk '{print $2}') How it starts
The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Performance Optimization
When to Use
Trigger when diagnosing or optimizing performance for Canvas Apps, Model-Driven Apps, Code Apps, Power Automate flows, Dataverse queries, or plugins. Also trigger when addressing API throttling (429 errors) or capacity limits.
Canvas App Performance
Delegation
Delegation pushes query logic to the data source. Non-delegable operations process only the first 500-2000 records locally.
| Delegable to Dataverse | NOT Delegable |
|---|---|
| Filter with =, <>, <, >, <=, >= | Distinct |
Filter with in (choice columns) |
CountRows (use CountIf for delegable) |
| Sort (single column) | GroupBy |
| Search (Dataverse only) | AddColumns in a Filter |
| StartsWith | Nested Filter |
| LookUp | First applied to non-delegable |
Key Canvas Optimizations
// BAD: Non-delegable — loads all records, filters locally
Filter(Contacts, Text(Phone, "[$-en-US]#") = "555-0100")
// GOOD: Delegable — server-side filter
Filter(Contacts, Phone = "555-0100")
// BAD: Loading all records then counting
CountRows(Filter(LargeTable, Status = "Active"))
// GOOD: CountIf is delegable to Dataverse
CountIf(LargeTable, Status = "Active")
Concurrent() for Parallel Data Loading
// BAD: Sequential loading
ClearCollect(colAccounts, Accounts);
ClearCollect(colContacts, Contacts);
ClearCollect(colOrders, Orders);
// Total time = T1 + T2 + T3
// GOOD: Parallel loading
Concurrent(
ClearCollect(colAccounts, Accounts),
ClearCollect(colContacts, Contacts),
ClearCollect(colOrders, Orders)
);
// Total time = max(T1, T2, T3)
Named Formulas (Pre-Computation)
// App.Formulas — computed once, cached
ActiveAccounts = Filter(Accounts, statuscode = 1);
UserDepartment = Office365Users.MyProfile().Department;
TodayDate = Today();
// These are evaluated once and cached — no re-computation on screen navigation
Collection Pre-Loading
// App.OnStart — load reference data once
Concurrent(
ClearCollect(colStatusOptions, Choices('Accounts'.Status)),
ClearCollect(colCategoryOptions, Choices('Accounts'.Category)),
ClearCollect(colCountries, Filter(Countries, IsActive = true))
);
// Galleries and dropdowns use local collections (fast) instead of Dataverse calls
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.
- 11d ago First seen · 486 lines · 48 tokens per session scan A 7a2a13a291c8
perf-optimise is a skill published in the GitHub repository korchard333/claude-power-platform-community (47 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 3,293 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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