Borrowing it
Nothing to install: this file belongs to florian101010/awesome-agentic-AI-coding-template. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/florian101010/awesome-agentic-AI-coding-template/main/.github/instructions/qa-audit.instructions.mdgit clone --depth 1 https://github.com/florian101010/awesome-agentic-AI-coding-templateWrote 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/instructions/florian101010/awesome-agentic-ai-coding-template/qa-audit)<a href="https://agentmods.dev/instructions/florian101010/awesome-agentic-ai-coding-template/qa-audit"><img src="https://agentmods.dev/badge/instructions/florian101010/awesome-agentic-ai-coding-template/qa-audit/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/instructions/florian101010/awesome-agentic-ai-coding-template/qa-audit"><img src="https://agentmods.dev/badge/instructions/florian101010/awesome-agentic-ai-coding-template/qa-audit.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 | $0.00589 | $0.00589 |
| Opus 5.5 | $0.00236 | $0.00236 |
| Sonnet 5.5 | $0.00118 | $0.00118 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
QA Audit Process 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 1mo 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA-Audit Instructions
When to Use
Apply this when performing a quality audit, security review, or robustness check of [FILL: main-source-file].
Audit Scope Options
- Source-only — Main source file (HTML + CSS + JS, or equivalent)
- Config-included — Source + all config files
- Full Scope Paranoid — Source + Config + Agent Rules + Docs (recommended)
9-Phase Process
- Baseline — Run
npm testand any config/asset verification scripts - Source Full Read — Read every section of the main source file
- Rule Compliance — Verify code against ALL rule files (AGENTS.md, CLAUDE.md, copilot-instructions.md,
.claude/rules/,.agent/rules/) - Config Verification — Schema conformity and cross-references between configs
- Security Scan — All innerHTML + escaping, forbidden APIs, injection risks
- Edge-Case & Robustness — Race conditions, error propagation, compatibility guards
- Documentation Drift — Code IST vs. documented SOLL values across all rule files
- Classification & Report — Severity: CRITICAL (security), HIGH (functional), MEDIUM (rules/robustness), LOW (hygiene)
- Fix Planning — Risk per finding, fix order, verification method
Key Security Checks
- Every
innerHTMLwith config-/runtime-derived text MUST use a safe escaping function - No
eval(),Function(),document.write(),postMessage,localStorage - [FILL: Project-specific security check 1]
Key Rule Compliance Checks
- [FILL: Project-specific rule 1] — e.g. "touch-action: manipulation on every interactive element"
- [FILL: Project-specific rule 2] — e.g. "All assets rendered via a safe helper function with fallback"
- Relative paths only — no leading
/or./(if applicable)
Report Format
Save to docs/QA-AUDIT-{YYYY-MM-DD}.md with severity-classified findings including exact file/line references, violated rule, code snippet, impact, and fix suggestion.
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.
- 1mo ago First seen · 53 lines · 589 tokens per session scan A 51b9e3a5f694
QA Audit Process is an instructions file published in the GitHub repository florian101010/awesome-agentic-AI-coding-template (4 stars, last pushed 7mo ago), licensed MIT. It adds 589 tokens to every session, about $0.0024 per session on Opus 5.5. 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 2026-08-31.
Other instructions, from other repositories
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.