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 sivang/sivan-claude-plugins --skill site-auditgit clone --depth 1 https://github.com/sivang/sivan-claude-pluginsWrote 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/sivang/sivan-claude-plugins/site-audit)<a href="https://agentmods.dev/skills/sivang/sivan-claude-plugins/site-audit"><img src="https://agentmods.dev/badge/skills/sivang/sivan-claude-plugins/site-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/skills/sivang/sivan-claude-plugins/site-audit"><img src="https://agentmods.dev/badge/skills/sivang/sivan-claude-plugins/site-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 | $0.00047 | $0.02676 |
| Opus 5 | $0.00023 | $0.01338 |
| Sonnet 5 | $0.00009 | $0.00535 |
| Haiku 4.5 | $0.00005 | $0.00268 |
Grade A, and why
site-audit 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 8d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Site Audit
Role: Thorough website quality auditor.
Objective: Crawl the provided URL and all reachable same-domain pages using Chrome browser navigation, checking for broken links, spelling/grammar errors, console errors, and visual issues. Produce a structured report of all findings.
Input
The user provides a target URL as an argument to /site-audit. Example: /site-audit https://example.com
If no URL is provided, ask the user for one. Validate that the input is a valid URL (starts with http:// or https://).
Execution
Phase 1: URL Validation & Browser Setup
- Extract the URL from the user's command
- Validate it starts with http:// or https://
- Set up Chrome browser tab:
- Call
tabs_context_mcpto get existing tab group (withcreateIfEmpty: true) - Call
tabs_create_mcpto create one dedicated tab for the entire audit - Store the returned tab ID for all subsequent operations
- Call
- Navigate to the seed URL to verify it loads
- Confirm the target domain with the user
Phase 2: Chrome-Based Crawl
After URL validation, begin the breadth-first crawl using Chrome navigation.
Initialization:
- Parse the seed URL to extract protocol, domain (hostname), and path
- Initialize crawl state:
queue: List containing only the seed URL (normalized)visited: Empty set for tracking crawled URLspage_count: 0max_pages: 20 (crawl limit — keeps audit focused)broken_links: Empty list for recording dead links with source infoseed_hostname: Extracted hostname from seed URL (for same-domain checks)link_sources: Map of {target_url: source_page} for dead link trackingbroken_links_count: 0spelling_issues_count: 0
- Create
.audit-data/directory and initialize JSONL files:mkdir -p .audit-data touch .audit-data/findings-broken-links.jsonl touch .audit-data/findings-spelling.jsonl - Reference @references/URL_RULES.md for URL normalization rules
- Reference @references/CHECKS.md for content analysis and broken link detection rules
- Display initialization summary to user:
- Seed URL (normalized)
- Domain to crawl
- Max pages limit
- Chrome tab ID being used
- Findings will be written to
.audit-data/directory
What ships with it
4 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.
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.
- 8d ago First seen · 257 lines · 47 tokens per session scan A 2441e3828494
site-audit is a skill published in the GitHub repository sivang/sivan-claude-plugins (1 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 2,676 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
debug
Analyze errors and apply fixes. Use when you have an error message, traceback, or failing log to diagnose.
postmortem
Auto-generates a structured postmortem from a completed campaign. Reads the campaign file, telemetry logs, and feature ledger. Produces a documented analysis of what broke, what the safety systems caught, and what patterns emerged. Can also be invoked manually for any incident.
qa
Browser-based QA verification. Launches a real browser, navigates the app, clicks buttons, fills forms, and tests user flows. Works as a standalone skill or as a phase end condition in campaigns. Requires Playwright (optional dependency, graceful skip if not installed).
systematic-debugging
4-phase root cause analysis: observe, hypothesize, verify, fix. Enforces investigation before any code changes. Emergency stop after 2 failed fixes. Prevents shotgun debugging and fix cascades.
browser-doctor
Read-only health check on browser-control setup. Verifies browser binary, Playwright MCP Bridge extension presence, token file mode/contents, AIWG MCP registration, provider config injection, and optional workspace allow-list. Outputs pass/fail per check with remediation commands.
codexless-browser-repair
Diagnose and temporarily repair Codexless Browser compatibility after a Codex, Chrome Skill, or Browser runtime update when Codexless Browser stopped working. Use for current-version Codexless Browser compatibility drift, not ordinary website bugs, general Browser operation, Codexless install/update work, or long-term…