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
- Socket pass
- Snyk warn
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 5.5 | $0.00022 | $0.00271 |
| Sonnet 5.5 | $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 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.
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.
- 1mo 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 (864 stars, last pushed 2mo ago), licensed CC0-1.0. It adds 55 tokens to every session and 678 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
api-integration-architect
Design, implement, debug, and optimize API integrations with expert-level patterns for REST, GraphQL, webhooks, and authentication flows.
printing-press-amend
Amend a published CLI from one of two input sources: (1) dogfood mode mines the active Claude Code session transcript for friction (missing flags, hand- rolled API payloads, silent-null returns); (2) direct-input mode accepts user-supplied asks (rename a command, add commands or feeds, fix a named bug, optionally…
convex-performance-audit
Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.
convex-insights
Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.
diagnose-backend-bug
Diagnose a bounded backend or multi-service failure from GitHub Issues, Jira, Aone, user-provided exports, logs, traces, responses, stack traces, or job records. Use when a service, API, RPC, worker, queue, CLI, or scheduled job bug needs correlation through the project's existing observability route before repair; do…
platform-apex-anonymous-run
Runs anonymous Apex against the connected org (.apex file or pasted snippet), capturing the debug log, surfacing errors. Triggers on "run this anonymous apex", "execute this script against my org", "what does this code return", or "execute scripts/foo.apex". Wraps scripts in savepoint+rollback; warns before running in…