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 skills add onfire7777/universal-ai-skills-library --skill audit-prep-assistantgit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/audit-prep-assistant)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/audit-prep-assistant"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/audit-prep-assistant/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/audit-prep-assistant"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/audit-prep-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.02244 |
| Opus 5 | $0.00027 | $0.01122 |
| Sonnet 5 | $0.00011 | $0.00449 |
| Haiku 4.5 | $0.00005 | $0.00224 |
Grade A, and why
audit-prep-assistant 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 9d 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 — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Prep Assistant
Purpose
Helps prepare for a security review using Trail of Bits' checklist. A well-prepared codebase makes the review process smoother and more effective.
Use this: 1-2 weeks before your security audit
The Preparation Process
Step 1: Set Review Goals
Helps define what you want from the review:
Key Questions:
- What's the overall security level you're aiming for?
- What areas concern you most?
- Previous audit issues?
- Complex components?
- Fragile parts?
- What's the worst-case scenario for your project?
Documents goals to share with the assessment team.
Step 2: Resolve Easy Issues
Runs static analysis and helps fix low-hanging fruit:
Run Static Analysis:
For Solidity:
slither . --exclude-dependencies
For Rust:
dylint --all
For Go:
golangci-lint run
For Go/Rust/C++:
# CodeQL and Semgrep checks
Then I'll:
- Triage all findings
- Help fix easy issues
- Document accepted risks
Increase Test Coverage:
- Analyze current coverage
- Identify untested code
- Suggest new tests
- Run full test suite
Remove Dead Code:
- Find unused functions/variables
- Identify unused libraries
- Locate stale features
- Suggest cleanup
Goal: Clean static analysis report, high test coverage, minimal dead code
Step 3: Ensure Code Accessibility
Helps make code clear and accessible:
Provide Detailed File List:
- List all files in scope
- Mark out-of-scope files
- Explain folder structure
- Document dependencies
Create Build Instructions:
- Write step-by-step setup guide
- Test on fresh environment
- Document dependencies and versions
- Verify build succeeds
Freeze Stable Version:
- Identify commit hash for review
- Create dedicated branch
- Tag release version
- Lock dependencies
Identify Boilerplate:
- Mark copied/forked code
- Highlight your modifications
- Document third-party code
- Focus review on your code
Step 4: Generate Documentation
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.
- 9d ago First seen · 410 lines · 54 tokens per session scan A 2ef1f6f37def
audit-prep-assistant is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 2,244 once invoked, about $0.0003 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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