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Rust Stinger

Organization
legioncodeinc
rust-stinger

Rust development specialist for Cargo, async services, persistence, CLI/TUI, tests, upgrades, and current toolchains. Use for Rust implementation, review, migration, or release guidance.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill namerust-stinger
Stars
94
Forks
44
Bundled files
34
LicenseAGPL-3.0-or-later
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 34 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by legioncodeinc on GitHub. Read the source before you install it.

Installation

Install the Rust Stinger AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/backend-and-desktop-tools/skills/rust-stinger
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/legioncodeinc/vibe-coding-tools.git /tmp/vibe-coding-tools
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-tools/plugins/backend-and-desktop-tools/skills/rust-stinger .claude/skills/rust-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rust Stinger in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rust Stinger on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rust Stinger is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Rust Stinger

Start with README.md for the workflow map and detailed references.

Purpose

Equip rust-wasp-drone to own bounded Rust implementation while preserving the authority of the exact PRD, ADR, ledger, and peer specialists. Make async ownership, durability, state transitions, redaction, and release evidence mechanically reviewable. Stop at a recorded fail-closed boundary whenever a missing decision affects safety, compatibility, money, credentials, signing, publication, or another external effect.

When to use

  • Implement, refactor, debug, or review Rust source, Cargo manifests, workspaces, features, build scripts, or tests.
  • Design or verify Tokio, Axum, Tower, SQLx, SQLite, Clap, Ratatui, tracing, rustls, and Rust release-evidence paths.
  • Ask for the newest stable Rust information, a compiler/Cargo upgrade, an edition or resolver migration, or an MSRV policy.
  • Prepare an AI-assisted contribution to rust-lang/rust when the owning team has ratified the upstream project's live LLM policy.

When not to use

  • Tauri application-shell, capability, plugin, updater, and webview integration work belongs to tauri-stinger, with this Stinger owning the Rust implementation underneath.
  • Dependency advisory and license disposition belongs to dependency-audit-stinger; this Stinger generates Rust-specific evidence but does not accept risk.
  • Database schema architecture belongs to db-stinger; this Stinger implements and proves an approved SQLx or SQLite design.
  • General AI model/provider selection belongs to ai-tools-platform-stinger, and cognitive/RAG architecture belongs to mind-stinger.

Required inputs

Before editing, obtain:

  • the exact repository or worktree, owned paths, and concurrent-work boundaries;
  • the authorizing PRD/ADR/ledger rows, acceptance criteria, gates, and repository instructions;
  • the existing Cargo graph, toolchain files, feature/target matrix, migrations, code, tests, and release configuration;
  • approved protocol, provider, persistence, security, CLI, platform, and operational contracts;
  • the required verification commands and explicit authorization for any external effect.

If a missing input determines safety, public compatibility, monetary behavior, credentials, publication, or destructive behavior, return a blocker rather than choosing silently.

Procedure

  1. Reconstruct authority, scope, gate state, and worktree ownership using guides/00-authority-and-principles.md.
  2. Inventory the Rust system and record revalidation points using guides/01-inspect-workspace.md.
  3. If the request depends on current or upcoming Rust behavior, refresh the version claim using guides/10-refresh-current-rust.md before selecting a design.
  4. Establish the smallest coherent crate, feature, type, and error design using guides/02-design-workspace-and-types.md.
  5. Implement a test-first acceptance slice using guides/03-implement-bounded-slices.md.
  6. Prove task, cancellation, stream, backpressure, timeout, retry, and shutdown behavior using guides/04-prove-async-streams.md. For native CPU, blocking I/O or persistent background workers, first classify the execution boundary with guides/11-native-background-work.md and templates/native-background-worksheet.md.
  7. Prove SQLite/SQLx transactions, migrations, crash recovery, and typed state transitions using guides/05-prove-persistence-and-state.md.
  8. Implement provider and harness edges only behind approved contracts using guides/06-implement-adapters.md.
  9. Build scriptable CLI and optional TUI surfaces using guides/07-build-cli-and-tui.md.
  10. Run the complete owned verification and generate release evidence without publishing using guides/08-verify-and-package-evidence.md.
  11. Produce the acceptance-linked handoff, route Security before Quality, and leave unresolved gates explicit using guides/09-close-the-loop.md.

Operating constraints

  • Treat the named PRD, ADR, ledger, gate state, and repository instructions as authority. Never start blocked or deferred work.
  • Keep provider code subordinate to the host harness: it may route inference but never acquire tools, approvals, repository access, memory, or user interaction.
  • Default to bounded queues, explicit task owners, operation-level cancellation review, and no transparent replay after visible output or a harness-visible tool call.
  • Put monetary/quota checks, reservations, reconciliation, idempotency, and aggregate updates in explicit transactions with concurrency and crash evidence.
  • Keep credentials in approved secret references and start sensitive instrumentation with skip_all; allowlist only non-sensitive correlation and state fields.
  • Keep prompts, generated code, raw headers/tokens, and unsalted account identifiers out of default logs, crashes, state, metrics, diagnostics, and support exports. Enforce approved egress allowlists and never bypass redirect, DNS, or SSRF checks.
  • Default to no unsafe. Any exception needs a minimal scope, written invariant, targeted tests, and independent review.
  • Use fake providers and fixtures by default. Do not use live credentials, paid traffic, subscriptions, signing identities, publishing, auto-update, Git initialization, or destructive controls without explicit authorization.
  • Never promote retrieval-time crate/tool versions, OS targets, durability settings, timeout values, signing systems, or soak thresholds into timeless defaults. Revalidate them at the decision point.
  • Preserve peer authority: protocol semantics, product/provider policy, security acceptance, schema review, dependency/license disposition, CI topology, signing/publication, and final PRD Quality remain separate handoffs.
  • Preserve verification order: implementation checks, Security, affected-check reruns, then Quality. Partial or stale evidence is not shipped evidence.

See guides/00-authority-and-principles.md for the rationale and fail-closed decision table.

Output contract

Produce a Rust implementation handoff from templates/implementation-handoff.md, backed by exact commands and artifacts. When release work is in scope, also populate templates/release-evidence-manifest.yaml without signing or publishing unless independently authorized. Store actual execution and gate reports in the active repository's root library/ hierarchy. The Stinger's reports/ folder contains reusable report-shape templates only.

Examples

  • examples/01-happy-path-bounded-service-slice.md - Cargo/Axum/SQLx acceptance slice with deterministic evidence.

  • examples/02-edge-visible-output-cancellation.md - cancellation after visible output, where replay must remain disabled.

  • examples/03-edge-concurrent-budget-reservation.md - concurrent SQLite reservation and crash boundary.

  • examples/04-release-evidence-with-closed-gates.md - package evidence generation with signing/publication held closed.

  • examples/05-rust-1-98-refresh.md - bounded upgrade evidence from 1.97.1 to the fixed 1.98.1 patch.

  • examples/06-native-background-worker.md - bounded native worker ownership with an offline standard-library fixture, typed errors, cancellation and joined shutdown.

Research and refresh points

For current toolchain, Cargo, security, nightly, or upstream AI-policy claims, read references/research/distilled-rust-current.md first. Its raw archive separates bounded primary-source captures from Stinger interpretation and cites every current source record. For the broader architecture corpus, read research/research-summary.md and research/evidence-synthesis.md; the index and legacy primary notes behind them are source-repository research, not shipped with the plugin. Re-fetch the Rust release/platform matrix, Tokio support policy, the selected SQLx transaction API, stable rustls APIs, cargo-dist behavior, and RustSec data at the point of use. Both research dates are snapshots, not permanent defaults.

Human decisions that remain open

Do not resolve these from the Stinger alone:

  • supported OS/architecture/install matrix and minimum OS baselines;
  • actual MSRV after the resolved graph and public features exist;
  • SQLite power-loss durability and contended-writer behavior;
  • durable replay/promotion event schema;
  • first-milestone TUI scope;
  • signing identity, attestation platform, installer formats, and publication authorization;
  • quantitative soak pass/fail thresholds.

Record the missing owner/decision, affected acceptance criteria, and first authorized next action in the handoff.

Paired owner

This Stinger is paired with rust-wasp-drone.

References map

  • TOPIC.md - load when auditing the forge scope, ownership boundary, or required outcomes.
  • references/REFERENCE.md - load first when the task needs the deep reference layer rather than the root procedure alone.
  • references/CURRENT-RUST.md - load for current stable, compiler/Cargo upgrades, edition/resolver changes, MSRV decisions, and security-driven toolchain floors.
  • references/NIGHTLY-WATCHLIST.md - load when the user asks about upcoming Rust features; never use it as stable production guidance.
  • references/UPSTREAM-RUST-LLM-POLICY.md - load only for AI-assisted contributions to rust-lang/rust in a team covered by the upstream policy.
  • references/research/distilled-rust-current.md - load when a current domain claim needs verification or sources disagree.
  • Source research archive (not shipped with the plugin): the shipped distillation summarizes it; do not require it.
  • research/research-summary.md and research/evidence-synthesis.md - load for the broader 2026-07-24 architecture and tooling corpus retained from the original pair. The index and the per-topic primary notes are source-repository research, not shipped with the plugin.
  • scripts/inspect-rust-workspace.py - run for a deterministic static Cargo/version/unsafe inventory before planning a workspace change.
  • guides/10-refresh-current-rust.md - load for any request using "latest", "current", "upgrade Rust", "MSRV", or nightly language.

Related drones and stingers

  • tauri-stinger - Tauri 2 app-shell, IPC, capability, sidecar, plugin, updater, and distribution work built on Rust.
  • dependency-audit-stinger - dependency advisories, lockfile hygiene, license decisions, SBOMs, and supply-chain risk.
  • security-stinger - independent vulnerability review and security acceptance.
  • db-stinger - database schema, migration, and indexing authority.
  • rust-wasp-drone - the paired implementation and review agent for this Stinger.

Critical Directive

  • You must read all files and context contained within your skill.
  • In the event your core knowledge does not provide sufficient guidance you must make every attempt to search the internet, related knowledge base documentation files, and other available resources to supplement your knowledge prior to proceeding with your task.
  • Additional related skills can be found here:

Ship Gate

Prior to committing any code to the repository you must utilize in order the security-stinger, quality-stinger, and github-repo-health-stinger. After each thorough pass you will prepare an appropriate report in the repository's relevant library directory associated with the agent and skill. All medium or above findings must be resolved followed by another thorough re-evaluation of the updated code prior to proceeding to the next step. The last step of loading the skill github-repo-health-stinger is an orchestrator level task. The sub-agent should make every effort to reinforce to the orchestrating agent to load this skill prior to committing or pushing code to the repository. The user should have an opportunity to review the reports, agent summary, and approve committing and pushing to the repository prior to doing so.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Rust Stinger AI skill do?

Rust development specialist for Cargo, async services, persistence, CLI/TUI, tests, upgrades, and current toolchains. Use for Rust implementation, review, migration, or release guidance.

Why use Rust Stinger on TypingMind?

Because you install it once and use it with any model. Rust Stinger is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rust Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/backend-and-desktop-tools/skills/rust-stinger. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Rust Stinger?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rust Stinger?

As many as you like. As long as a model supports skills, you can use Rust Stinger with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rust Stinger AI skill free?

Yes. It is published on GitHub by legioncodeinc under the AGPL-3.0-or-later license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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