rugged-gemini: Skill for Claude Code

.gemini/skills/resources-and-memory-management/SKILL.md

resources-and-memory-management is a skill for Claude Code, Gemini CLI from irahardianto/rugged-gemini. It costs 34 tokens per session (510 once invoked), scanned A, original, MIT.

A set of practices for safely opening, reusing, and closing files, database connections, network sockets, locks, and other system resources.

In plain words
What is it for?
Use it when designing cleanup, timeouts, resource pools, backpressure, and graceful shutdown for applications that perform I/O or manage limited system resources.
Why use it?
It helps prevent leaks and stuck operations that can exhaust resources or leave an application waiting forever, including when errors or early returns occur.

Skill for Claude CodeGemini CLI

Written for Claude Code and Gemini CLI: user-invocable in frontmatter, but also installed under .gemini/. Also seen: mentions Gemini CLI.

This is irahardianto/rugged-gemini's own configuration. It tells Claude Code and Gemini CLI how to work on rugged-gemini itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything rugged-gemini configures →

Reuse

Borrowing it

Nothing to install: this file belongs to irahardianto/rugged-gemini. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/irahardianto/rugged-gemini/main/.gemini/skills/resources-and-memory-management/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/irahardianto/rugged-gemini

Made for: Claude Code, Gemini CLI.

Wrote this? Show the measurements

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agentmods badge for resources-and-memory-management

README.md
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<a href="https://agentmods.dev/skills/irahardianto/rugged-gemini/resources-and-memory-management"><img src="https://agentmods.dev/badge/skills/irahardianto/rugged-gemini/resources-and-memory-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 510 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00510
Opus 5 $0.00017 $0.00255
Sonnet 5 $0.00007 $0.00102
Haiku 4.5 $0.00003 $0.00051

Measured 7d ago against content hash e3695071f0d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

resources-and-memory-management 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 7d 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.

.gemini/skills/resources-and-memory-management/SKILL.md · 56 lines

What it actually says

Resource and Memory Management

1. Always Clean Up

Resources: files, connections, locks, semaphores, memory, OS handles, GPU.

Clean up in ALL paths: success, error, early return.

Language patterns: Go=defer, Rust=Drop(RAII), Python=with, TS=try/finally, Java=try-with-resources.

2. Timeout All I/O

  • Network: 30s default, 5-10s interactive
  • DB queries: 10s default, per-query complexity
  • Files: timeout on network FS
  • MQ: configurable, avoid indefinite blocking

3. Pool Expensive Resources

  • DB connections: pool 5-20 per instance
  • HTTP: keep-alive reuse
  • Threads: CPU count (CPU-bound) or I/O wait (I/O-bound)

Pool config: min 5 (warm), max 20-50, idle timeout 5-10 min, validate before use, monitor utilization/wait/timeout.

4. Prevent Leaks

Leak = acquire + never release → exhaust system resources. Detect: monitor fd/connection/memory over time, long-duration tests, leak tools (valgrind, ASan, heap profilers). Prevent: use language cleanup patterns, never rely on manual alone.

5. Handle Backpressure

Problem: producer > consumer → unbounded queue → OOM.

Solutions: bounded queues, rate limiting, flow control, circuit breakers, drop/reject (fail fast > crash).

Memory by Language

GC'd (Go, Java, Python, JS): auto-freed, still must release non-memory resources, GC pauses in latency-sensitive, profile for retained refs.

Manual (C/C++): malloc/free, RAII in C++, prefer smart pointers.

Ownership (Rust): compiler-enforced safety, no GC, no manual mgmt. Arc/Rc for shared ownership.

Related

  • Concurrency Mandate GEMINI.md § Concurrency and Threading Mandate
  • Concurrency Principles @.gemini/skills/concurrency-and-threading-principles/SKILL.md
  • Error Handling GEMINI.md § Error Handling Principles
Changes

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.

  1. 7d ago First seen · 56 lines · 34 tokens per session scan A e3695071f0d7

Subscribe to this mod's changes

resources-and-memory-management is a skill published in the GitHub repository irahardianto/rugged-gemini (5 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 510 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 2026-09-03.

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