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 agentmods add skills/whitebeardit/.cursor/skill-idempotencynpx skills add whitebeardit/.cursor --skill skill-idempotencygit clone --depth 1 https://github.com/whitebeardit/.cursorWrote 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/whitebeardit/.cursor/skill-idempotency)<a href="https://agentmods.dev/skills/whitebeardit/.cursor/skill-idempotency"><img src="https://agentmods.dev/badge/skills/whitebeardit/.cursor/skill-idempotency.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.02122 |
| Opus 5 | $0.00022 | $0.01061 |
| Sonnet 5 | $0.00009 | $0.00424 |
| Haiku 4.5 | $0.00004 | $0.00212 |
Grade A, and why
idempotency 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 4d 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idempotency Best Practices
This skill provides idempotency concepts, patterns, and implementation strategies applicable across multiple programming languages and frameworks.
Core Concepts
What is Idempotency?
An operation is idempotent if performing it multiple times produces the same result as performing it once.
Mathematical Example:
f(f(x)) = f(x)- Example:
abs(abs(-5)) = abs(-5) = 5
Programming Example:
- GET request: Always returns same result
- DELETE request: Deleting twice has same effect as once
- PUT request: Replacing resource multiple times has same effect
Why Idempotency Matters
- Retry Safety: Network failures can cause retries - operations must handle this
- Distributed Systems: Multiple services may attempt same operation
- User Experience: Users may click "Submit" multiple times
- Reliability: Ensures system consistency under failures
HTTP Methods and Idempotency
Idempotent Methods
GET: Always safe and idempotent
- Reading data doesn't change state
- Can be called multiple times safely
PUT: Idempotent (when used correctly)
- Replacing resource with same data multiple times has same effect
- Must include complete resource representation
DELETE: Idempotent
- Deleting already-deleted resource has same effect (no-op)
Non-Idempotent Methods
POST: Not idempotent
- Creates new resources
- Each call may create different resource
PATCH: Not idempotent (usually)
- Partial updates may have different effects on repeated calls
API Idempotency Patterns
Pattern 1: Idempotency Keys
Client provides unique key for each operation. Server uses key to detect duplicates.
// Client sends request with idempotency key
POST /api/orders
Headers:
Idempotency-Key: abc123-def456-ghi789
// Server implementation
const idempotencyKey = req.headers['idempotency-key'];
if (idempotencyKey) {
// Check if we've seen this key before
const cachedResponse = await cache.get(`idempotency:${idempotencyKey}`);
if (cachedResponse) {
return res.status(cachedResponse.status).json(cachedResponse.body);
}
// Process request
const order = await createOrder(req.body);
// Cache response
await cache.set(`idempotency:${idempotencyKey}`, {
status: 201,
body: order,
}, { ttl: 24 * 60 * 60 }); // 24 hours
return res.status(201).json(order);
}
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.
- 4d ago First seen · 337 lines · 44 tokens per session scan A 228afc8c1a2e
idempotency is a skill published in the GitHub repository whitebeardit/.cursor (12 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 2,122 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…