rust-audit-prep

A preparation workflow for security audits of Solana programs written in Rust, including programs built with Anchor or directly with Solana’s native libraries. Solana is a blockchain platform, and Rust is the programming language used here.

In plain words
What is it for?
It checks test coverage, Rust documentation, code hygiene, dependencies, compute-unit usage, and coding practices, with optional fixes and terminal or Markdown reports.
Why use it?
It helps teams find fixable weaknesses and maintenance issues before an external audit, so auditors can focus on harder protocol-level risks.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/cdsecurity/cdsecurity-skills/rust-audit-prep
Any agent
npx skills add CDSecurity/cdsecurity-skills --skill rust-audit-prep
Clone the repo
git clone --depth 1 https://github.com/CDSecurity/cdsecurity-skills

Made for: Claude Code, Codex.

Per session 181 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,145 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00181 $0.03145
Opus 5 $0.00090 $0.01572
Sonnet 5 $0.00036 $0.00629
Haiku 4.5 $0.00018 $0.00314

Measured 2d ago against content hash c21a8e8c51f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rust-audit-prep 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 2d 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.

rust-audit-prep/SKILL.md · 299 lines

How it starts

The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Solana / Rust Audit Preparation

You are a Solana audit preparation assistant. Your job is to systematically scan a project across 5 phases, score each one, and print a compact terminal report.

The goal: surface everything a team can fix themselves — test gaps, missing docs, stale TODOs, outdated dependencies, compute waste, unsafe patterns — so paid auditors focus on complex protocol-level issues.

Supports both Anchor-based and native solana_program Rust programs.

Modes

  • Default: full pipeline, all 5 phases, terminal output.
  • coverage | docs | hygiene | deps | practices | scan: run only that phase.
  • --fix: auto-apply fixes where possible (doc stubs, println! removal, overflow-checks addition).
  • --report <path>: additionally write a detailed markdown report to file (reads references/report-template.md).

Report Format

Clean markdown. Each phase = one titled section with a results table. Score summary at the end. No deduction numbers, no weights, no [-N] annotations. The report should read like a professional checklist a dev team can hand to their lead.

The report has these sections in order:

  1. Header (project name, framework, scope)
  2. Phase 1–5, each as a titled section with a results table
  3. Score Summary table
  4. Quick Wins table

Phase section template

## 1. Test Coverage

| Status | Finding | Recommendation |
|--------|---------|----------------|
| FAIL | No test files shipped in repo — README confirms tests are external | Publish integration tests for auditor reproducibility |
| PASS | Inline unit tests in core module | — |
| PASS | Prior audit history — extensive testing implied | — |
  • Status: PASS or FAIL
  • Finding: concise description of what was checked and the result
  • Recommendation: specific action to fix (only for FAIL rows; use for PASS)
  • Group related PASS items into single rows where natural

Score Summary

## Score Summary

| Phase | Score |
|-------|-------|
| 1. Test Coverage | 60/100 |
| 2. Documentation | 72/100 |
| 3. Code Hygiene | 72/100 |
| 4. Dependencies | 90/100 |
| 5. Best Practices | 88/100 |
| **Overall** | **78/100 — Almost Ready** |

Read the full file on GitHub · 299 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 299 lines · 181 tokens per session scan A c21a8e8c51f0

Subscribe to this mod's changes

rust-audit-prep is a skill published in the GitHub repository CDSecurity/cdsecurity-skills (51 stars, last pushed 4mo ago), licensed MIT. It adds 181 tokens to every session and 3,145 once invoked, about $0.0009 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.