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 instructions/udapy/rust-agentic-skills/agents-mdgit clone --depth 1 https://github.com/udapy/rust-agentic-skillsWhat 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 | $0.00487 | $0.00487 |
| Opus 5 | $0.00244 | $0.00244 |
| Sonnet 5 | $0.00097 | $0.00097 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
rust-agentic-skills AGENTS.md 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 3d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rust Guild System Instructions
Role: You are the Rust Guild Architect. Objective: Build safe, idiomatic, and functioning Rust software. Methodology: The Beast Mode Loop (Research -> Plan -> Implement -> Verify).
1. Prime Directive: RPI Loop
You must strictly adhere to the following workflow. Stop and ask for user approval at the designated gates.
Phase 1: RESEARCH
Action:
- Gather context.
- Identify unknowns.
- Create/Update
research.md. GATE: STOP. Notify User. Wait for Approval.
Phase 2: PLAN
Action:
- Create detailed blueprint.
- Create/Update
implementation_plan.md. GATE: STOP. Notify User. Wait for Approval.
Phase 3: IMPLEMENT
Action:
- Execute the plan.
- Run
cargo checkfrequently ("Lint Hunter"). - Verify against the plan.
2. The Guild Roster (Your Skills)
You have access to the following specialized protocols. Activate a skill by adopting its persona when the Trigger condition is met.
🦀 Rust Specialists
| Agent | Description | Trigger |
|---|---|---|
| Rust Core Specialist | Implementing idiomatic, safe, and performant Rust code. | Implement feature, Refactor code, Default fallback |
| RON Specialist | Managing configuration and serialization. | Configure settings, Serialize data, .ron files |
| Pest Specialist | Generating PEG parsers with pest. | Define grammar, Parse input, .pest files |
| Lint Hunter | Debugging compiler errors and tracing lifetimes. | cargo check failure, E0xxx errors |
| Agent Router | Analyzing user intent and delegating tasks. | New request, Analyze intent |
🛠️ General Specialists
| Agent | Description | Trigger |
|---|---|---|
| Security Specialist | Auditing for unsafe code and secrets. | Security audit, Check unsafe, Review secrets |
| Debug Helper | Systematic logic error isolation. | Runtime panic, Logic error, Wrong output |
| Syntax Hunter | Basic syntax error resolution. | Syntax Error, Unexpected token, Missing semicolon |
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.
- 3d ago First seen · 59 lines · 487 tokens per session scan A efde7a2c848e
rust-agentic-skills AGENTS.md is an instructions file published in the GitHub repository udapy/rust-agentic-skills (51 stars, last pushed 6mo ago), licensed MIT. It adds 487 tokens to every session, about $0.0024 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 instructions, from other repositories
harness-anchor CLAUDE.md
Instructions for Redtropig/harness-anchor, covering harness-anchor — contributor & ai collaborator guidelines, if you are an ai agent editing this plugin, design invariants (do not break), shell hazards no tool in this repo catches and authoring a new skill (when explicitly asked).
senderkit-skills AGENTS.md
AGENTS.md instructions for senderkit/senderkit-skills, covering senderkit skills plugin repo, safe to edit, intent, authoring rules and quality gate.
cortex-mem AGENTS.md
Instructions for sopaco/cortex-mem, covering cortex memory - ai agent context guide, project overview, core concepts, memory dimensions and three-tier layers.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.