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 spencerpauly/awesome-cursor-skills --skill network-request-auditinggit clone --depth 1 https://github.com/spencerpauly/awesome-cursor-skillsWrote 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/spencerpauly/awesome-cursor-skills/network-request-auditing)<a href="https://agentmods.dev/skills/spencerpauly/awesome-cursor-skills/network-request-auditing"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/network-request-auditing/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/spencerpauly/awesome-cursor-skills/network-request-auditing"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/network-request-auditing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00678 |
| Opus 5 | $0.00028 | $0.00339 |
| Sonnet 5 | $0.00011 | $0.00136 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
network-request-auditing 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- network-request-auditing — 95% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Request Auditing
Deep-dive network health using the cursor-ide-browser MCP. This skill focuses on browser_network_requests — not just “any 500s” but patterns that indicate bugs, waste, or security issues.
How it works
- Drive the app in the browser (navigate, click, submit forms) so real requests fire.
- Call
browser_network_requestsafter meaningful interactions (and after navigation settles). - Classify and report findings using the criteria below.
Follow cursor-ide-browser workflow rules: use browser_snapshot before structural interactions; after actions that change the page, take a fresh snapshot before the next interaction.
Audit checklist
Failures
- 4xx / 5xx — list method, URL (path + query), status, and whether the UI handled the error.
- CORS or network errors — often misconfigured origins or mixed content.
Performance
- Slow requests — flag requests with high latency (e.g. > 500 ms server time if timings are visible; otherwise note unusually large waterfalls).
- Duplicate calls — same URL + method fired multiple times in one user action (often a React effect or missing deduplication).
- Oversized payloads — responses that look huge for what the UI needs (suggest pagination, field selection, or compression).
Security and privacy
- Sensitive data in URLs — tokens or PII in query strings.
- Missing auth — API calls that should send credentials or bearer tokens but do not (compare with adjacent authenticated calls).
Correctness
- Unexpected hosts — calls to third parties not documented for the feature (trackers, accidental leaks).
- Preflight storms — excessive OPTIONS requests may indicate wrong CORS caching or too many distinct origins.
Steps
-
Start from a clean navigation —
browser_navigateto the target URL (or use an existing tab viabrowser_tabs). -
Exercise the feature — interactions that trigger API usage (filters, infinite scroll, form save, modal open).
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.
- 10d ago First seen · 60 lines · 55 tokens per session scan A f644df6e628e
network-request-auditing is a skill published in the GitHub repository spencerpauly/awesome-cursor-skills (768 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 55 tokens to every session and 678 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 2026-08-30.
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