agentleFS
CDSecurityCDSecurity/cdsecurity-skills/rust-audit-prep/SKILL.md

rust-audit-prep

Skill52 starsChanged 7 months agoMITView on GitHub

Prepare Solana/Rust projects for a security audit — test coverage analysis, Rust doc-comment checks, code hygiene sweeps, dependency health verification, compute-unit optimization tips, and best-practice enforcement. Supports both Anchor-based and native solana_program Rust programs. Generates a scored Audit Readiness Report. Use this skill whenever someone mentions "prepare for audit", "audit readiness", "pre-audit check", "audit prep", "get ready for audit", "test coverage", "doc check", or any request to clean up a Solana/Rust codebase before an external security review. Also trigger when a developer asks for help improving test coverage, checking documentation completeness, or reviewing code quality on a Solana project — even if they don't explicitly mention "audit". Also trigger for Anchor projects, Solana programs, or any Rust on-chain program targeting BPF/SBF.

  • Installs packages

The file

We split this skill into the rules it gives an agent

11 rules. About 0 are common, 4 are distinctive, and 7 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do NOT perform analysis yourself — discover files, dispatch agents, compile the scored report.

    line 94
  2. Distinctive:

    Use AskUserQuestion to ask where the project is:

    line 103
  3. Very specific:

    If Current directory: use the cwd as {project_dir}.

    line 118
  4. Very specific:

    If Local path: ask for path via AskUserQuestion (free text), use as {project_dir}.

    line 119
  5. Very specific:

    If GitHub repo: ask for URL via AskUserQuestion (free text), clone with git clone --depth 1 <url> /tmp/rust-audit-prep/<repo-name>, use as …

    line 120
  6. Very specific:

    Use TaskCreate for each, then set all 3 to in_progress via TaskUpdate.

    line 192
  7. Distinctive:

    No FAIL/PASS lines → flag "(no details reported)"

    line 234
  8. Very specific:

    If --report <path>: also write the markdown to the specified file path.

    line 248
  9. Very specific:

    Use AskUserQuestion with multiSelect: true:

    line 252
  10. Very specific:

    If Skip, end the skill. Otherwise run selected tools against {project_dir}:

    line 268
  11. Distinctive:

    If a tool is not installed, print install instructions and skip it.

    line 276

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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** |

Quick Wins

## Quick Wins

| # | Action | Location |
|---|--------|----------|
| 1 | Resolve 8 TODO comments | processor.rs, instructions/, state.rs |
| 2 | Add /// docs to instruction handlers | lib.rs |
| 3 | Add // SAFETY: to unsafe block | state/mod.rs:119 |

Report mode (--report) reads references/report-template.md and generates the report as a .md file.

Execution

Orchestrate a parallelized audit-prep pipeline. Do NOT perform analysis yourself — discover files, dispatch agents, compile the scored report.

Turn 0 — Banner & Project Selection

First, read the VERSION file and resolve the references path in parallel:

  • Glob: **/references/checklist.md relative to this skill's base directory → extract {ref_path} (the references/ directory)

Then print the banner (from the end of this file).

Use AskUserQuestion to ask where the project is:

{
  "question": "Where is the project you want to prepare for audit?",
  "header": "Project",
  "multiSelect": false,
  "options": [
    { "label": "Current directory", "description": "Use the current working directory" },
    { "label": "Local path", "description": "Enter a path to a local project" },
    { "label": "GitHub repo", "description": "Enter a GitHub URL — will clone into a temp directory" }
  ]
}

If Current directory: use the cwd as {project_dir}. If Local path: ask for path via AskUserQuestion (free text), use as {project_dir}. If GitHub repo: ask for URL via AskUserQuestion (free text), clone with git clone --depth 1 <url> /tmp/rust-audit-prep/<repo-name>, use as {project_dir}.

Turn 1 — Discover & Prepare

Make these parallel tool calls in ONE message: a. Bash: detect framework — check for Anchor.toml, Cargo.toml with solana-program or anchor-lang b. Bash: find in-scope .rs source files. Exclude: tests/, test/, target/, node_modules/, migrations/, .anchor/. Check programs/*/src/ and src/. c. Bash: find ALL test files — find . -name '*.rs' -path '*/tests/*', find . -name '*.ts' -path '*/tests/*', plus Grep for #[cfg(test)] in source d. Bash: count total lines in scope — wc -l on discovered source files e. Bash: mkdir -p .audit-prep → {bundle_dir}

Then create agent bundles in a single Bash call:

# File list
printf '%s\n' <in-scope-files> > {bundle_dir}/files.txt

# Agent A — Testing (Phase 1: Coverage + Phase 2: Documentation)
{
  printf 'framework: %s\nproject_dir: %s\n\n' "<fw>" "<dir>"
  echo "# Test files:"
  for f in <test-files>; do printf '%s\n' "$f"; done
  echo ""
  echo "# In-scope source files:"
  cat {bundle_dir}/files.txt
  echo ""
  cat {ref_path}/agents/testing-agent.md
  echo ""
  cat {ref_path}/shared-rules.md
  echo ""
  cat {ref_path}/checklist.md
} > {bundle_dir}/agent-a.md

# Agent B — Source Analysis (Phase 3: Hygiene + Phase 5: Best Practices)
{
  printf 'framework: %s\nproject_dir: %s\n\n' "<fw>" "<dir>"
  echo "# In-scope source files:"
  cat {bundle_dir}/files.txt
  echo ""
  cat {ref_path}/agents/source-analysis-agent.md
  echo ""
  cat {ref_path}/shared-rules.md
  echo ""
  cat {ref_path}/checklist.md
} > {bundle_dir}/agent-b.md

# Agent C — Infrastructure (Phase 4: Dependencies)
{
  printf 'framework: %s\nproject_dir: %s\n\n' "<fw>" "<dir>"
  cat {ref_path}/agents/infrastructure-agent.md
  echo ""
  cat {ref_path}/shared-rules.md
  echo ""
  cat {ref_path}/checklist.md
} > {bundle_dir}/agent-c.md

echo "=== Bundles ==="
wc -l {bundle_dir}/agent-*.md

Print: <project> | <framework> | <N> files, <M> lines

Turn 2 — Spawn Agents

First, create 3 tasks so the user sees progress spinners:

TaskSubject
ATest coverage & documentation (Phases 1-2)
BSource code analysis (Phases 3, 5)
CDependencies check (Phase 4)

Use TaskCreate for each, then set all 3 to in_progress via TaskUpdate.

Then, in the SAME message, spawn 3 parallel Agent calls:

Agent A — Testing + Docs (Phases 1 + 2):

Read your full bundle at {bundle_dir}/agent-a.md.
Execute Phases 1 and 2 exactly as specified.
Output ONLY the PHASE/FAIL/PASS structured format.
Do NOT skip any phase. Do NOT add commentary or tables.

Agent B — Source Analysis (Phases 3 + 5):

Read your full bundle at {bundle_dir}/agent-b.md.
Execute Phases 3 and 5 exactly as specified.
Use Grep and Read to analyze the source files listed in the bundle.
Do NOT read all source files at once — use targeted queries per check.
Output ONLY the PHASE/FAIL/PASS structured format.
Do NOT skip any phase. Do NOT perform vulnerability analysis.

Agent C — Infrastructure (Phase 4):

Read your full bundle at {bundle_dir}/agent-c.md.
Execute Phase 4 exactly as specified.
Output ONLY the PHASE/FAIL/PASS structured format.
Do NOT add commentary or tables.

As each agent completes, mark its task as completed via TaskUpdate.

Turn 3 — Score & Report

Parse each agent's output. For each phase, extract:

  • PHASE N | line → phase number, name, score
  • FAIL | lines → check name, deduction, file, then desc: and fix: on next lines
  • PASS | lines → check name, optional note:

Validate: For each expected phase (1–5):

  • Missing PHASE N marker → score = 0, add note "(not reported by agent)"
  • Missing SCORE: → compute as 100 minus sum of extracted deductions
  • No FAIL/PASS lines → flag "(no details reported)"

Compute weighted score (weights are internal, not shown to the user):

  • Best Practices (35%) + Code Hygiene (20%) + Test Coverage (20%) + Documentation (15%) + Dependencies (10%)

Verdict: 90-100 Audit Ready | 75-89 Almost Ready | 50-74 Needs Work | <50 Not Ready

Render the report as clean markdown using the format from the Report Format section. For each phase, build a Status | Finding | Recommendation table. FAIL rows get a specific recommendation. PASS rows get —. Group related PASS items into single rows where natural. End with the Score Summary table and Quick Wins table. Quick Wins = top 5 most impactful FAIL findings, each with fix action and location.

If --report <path>: also write the markdown to the specified file path.

Turn 4 — Scan Menu

Use AskUserQuestion with multiSelect: true:

{
  "question": "Which scanners do you want to run?",
  "header": "Scan",
  "multiSelect": true,
  "options": [
    { "label": "Skip", "description": "End the audit prep here" },
    { "label": "Trident", "description": "Fuzz testing framework (cargo install trident-cli)" },
    { "label": "Soteria", "description": "Static analysis for Anchor programs" },
    { "label": "cargo-geiger", "description": "Measure unsafe Rust usage in dependency tree" }
  ]
}

If Skip, end the skill. Otherwise run selected tools against {project_dir}:

ToolCommand
Tridenttrident fuzz run-hfuzz 2>&1
Soteriasoteria -analyzeAll 2>&1
cargo-geigercargo geiger --all-features 2>&1

If a tool is not installed, print install instructions and skip it. Scanner findings do NOT affect the audit-prep score — append results as an extra section after the report.


Banner

Print before anything else:

██████╗ ██╗   ██╗███████╗████████╗
██╔══██╗██║   ██║██╔════╝╚══██╔══╝
██████╔╝██║   ██║███████╗   ██║
██╔══██╗██║   ██║╚════██║   ██║
██║  ██║╚██████╔╝███████║   ██║
╚═╝  ╚═╝ ╚═════╝ ╚══════╝   ╚═╝
 █████╗ ██╗   ██╗██████╗ ██╗████████╗    ██████╗ ██████╗ ███████╗██████╗
██╔══██╗██║   ██║██╔══██╗██║╚══██╔══╝    ██╔══██╗██╔══██╗██╔════╝██╔══██╗
███████║██║   ██║██║  ██║██║   ██║       ██████╔╝██████╔╝█████╗  ██████╔╝
██╔══██║██║   ██║██║  ██║██║   ██║       ██╔═══╝ ██╔══██╗██╔══╝  ██╔═══╝
██║  ██║╚██████╔╝██████╔╝██║   ██║       ██║     ██║  ██║███████╗██║
╚═╝  ╚═╝ ╚═════╝ ╚═════╝ ╚═╝   ╚═╝       ╚═╝     ╚═╝  ╚═╝╚══════╝╚═╝

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.