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 nimadorostkar/Claude-Skills-collection --skill network-troubleshootinggit clone --depth 1 https://github.com/nimadorostkar/Claude-Skills-collectionWrote 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/nimadorostkar/claude-skills-collection/network-troubleshooting)<a href="https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/network-troubleshooting"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/network-troubleshooting/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/nimadorostkar/claude-skills-collection/network-troubleshooting"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/network-troubleshooting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 86 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00040 | $0.01368 |
| Opus 5 | $0.00020 | $0.00684 |
| Sonnet 5 | $0.00008 | $0.00274 |
| Haiku 4.5 | $0.00004 | $0.00137 |
Grade A, and why
network-troubleshooting scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Tooling: `dig`, `nc`, `openssl s_client`, `curl -v`, `ss`, `tcpdump`. How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Troubleshooting
Purpose
Isolate a network failure to a specific layer instead of guessing. Nearly every network problem is DNS, TLS, a firewall, or a timeout — and each has a distinct signature that identifies it in seconds.
When to Use
- Connection refused, connection reset, or timeouts.
- TLS handshake and certificate errors.
- DNS resolution failures, including intermittent ones.
- "It works from my machine but not from the cluster."
- Intermittent failures under load.
Capabilities
- Layer-by-layer isolation: DNS, TCP, TLS, HTTP.
- Tooling:
dig,nc,openssl s_client,curl -v,ss,tcpdump. - Cloud-specific diagnosis: security groups, NACLs, route tables, service meshes.
- Connection-pool and ephemeral-port exhaustion.
- MTU and path-MTU problems.
Inputs
- The exact error message and the client that produced it.
- Where it fails from and where it succeeds from.
- Whether it is consistent or intermittent — this distinction matters more than any other.
Outputs
- The failing layer, identified with evidence.
- The fix, and confirmation that the path now works from the failing location.
Workflow
- Read the error precisely — "Connection refused" means something is listening but rejecting, or nothing is there and the host answered. "Timeout" means nothing answered at all — usually a firewall dropping packets silently. These have completely different causes.
- Resolve the name —
dig +short host. If DNS is wrong or slow, nothing downstream matters. Check the resolver being used, not just your laptop's. - Open a socket —
nc -vz host port. This separates "the network path is blocked" from "the application is broken", which is the single most valuable distinction available. - Complete the handshake —
openssl s_client -connect host:443 -servername host. Certificate chain, expiry, and SNI problems all surface here. - Make the request —
curl -v. Now, and only now, are you debugging the application. - For intermittent failures, look at exhaustion — Connection pools, ephemeral ports, conntrack tables, and DNS caches. Intermittent almost always means "a limit is being hit under load".
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 · 109 lines · 0 tokens per session scan A 2612945a0771
network-troubleshooting is a skill published in the GitHub repository nimadorostkar/Claude-Skills-collection (26 stars, last pushed 24d ago), licensed MIT. It adds 40 tokens to every session and 1,368 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
investigate
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken"…
audit
Project-wide health audit pipeline that fans out to all analysis skills in parallel, evaluates findings, and produces a unified report at .turbo/audit.md. Use when the user asks to "audit the project", "run a full audit", "project health check", "audit my code", "codebase audit", or "comprehensive review".
consult-oracle
Consult ChatGPT Pro via ChatGPT browser automation for problems that resist standard approaches. Use when stuck on a very hard problem, when standard approaches have failed, when multiple debugging attempts haven't worked, or when the user says "ask the oracle", "consult oracle", "consult chatgpt", "I'm completely…
find-dead-code
Find dead code using parallel subagent analysis and optional CLI tools, treating code only referenced from tests as dead. Use when the user asks to "find dead code", "find unused code", "find unused exports", "find unreferenced functions", "clean up dead code", or "what code is unused". Analysis-only — does not modify…
polish-code
Stage, format, lint, test, review, smoke test, and re-run itself until stable. Use when the user asks to "polish code", "refine code", "iterate on code quality", "review loop", "clean up, test, and review loop", or "run the polish loop".
simplify-code
Run a multi-agent review of changed files for scope, reuse, quality, efficiency, clarity, and altitude issues followed by fixes. Use when the user asks to "simplify code", "review changed code", "check for code reuse", "review code quality", "review efficiency", "simplify changes", "clean up code", "refactor changes"…