Borrowing it
Nothing to install: this file belongs to TheDecipherist/claude-code-mastery-project-starter-kit. 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/TheDecipherist/claude-code-mastery-project-starter-kit/main/.claude/skills/nginx/SKILL.mdgit clone --depth 1 https://github.com/TheDecipherist/claude-code-mastery-project-starter-kitWrote 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/thedecipherist/claude-code-mastery-project-starter-kit/nginx)<a href="https://agentmods.dev/skills/thedecipherist/claude-code-mastery-project-starter-kit/nginx"><img src="https://agentmods.dev/badge/skills/thedecipherist/claude-code-mastery-project-starter-kit/nginx/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/thedecipherist/claude-code-mastery-project-starter-kit/nginx"><img src="https://agentmods.dev/badge/skills/thedecipherist/claude-code-mastery-project-starter-kit/nginx.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 | $0.00108 | $0.01853 |
| Opus 5.5 | $0.00043 | $0.00741 |
| Sonnet 5.5 | $0.00022 | $0.00371 |
| Haiku 4.5 | $0.00011 | $0.00185 |
Grade A, and why
nginx 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 2mo 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NGINX: Production Reverse-Proxy Config
Aimed at NGINX in front of containerized backends. The defaults are fine for a static site, these are the things that bite in production.
Resolve upstreams through Docker DNS with a short TTL
By default NGINX resolves an upstream host once, at startup, and caches the IP forever. In Docker that IP belongs to a container that will be replaced, so the proxy keeps sending traffic to a dead address. Point NGINX at Docker's internal DNS and force re-resolution:
http {
resolver 127.0.0.11 ipv6=off valid=10s; # Docker DNS, re-resolve every 10s
}
valid=10s is what makes NGINX pick up the new container after a restart or scale. This is the NGINX side of "never hardcode IPs", see the docker-swarm skill for the principle.
Upstreams by service name, with keepalive
Reference backends by service name, never IP. Reuse connections with keepalive, which needs HTTP/1.1 and a cleared Connection header:
upstream backend {
server backend-service:8080;
keepalive 32;
}
server {
location / {
proxy_pass http://backend;
proxy_http_version 1.1;
proxy_set_header Connection "";
}
}
Structured JSON logs to stdout/stderr
Log JSON so an aggregator can parse it, and write to stdout/stderr so Docker's logging driver captures it. Never log to a file inside the container.
log_format json_log escape=json '{'
'"time":$msec,"method":"$request_method","status":$status,'
'"uri":"$request_uri","rt":$request_time,'
'"upstream":"$upstream_addr","cache":"$upstream_cache_status",'
'"client":"$remote_addr","xff":"$http_x_forwarded_for"'
'}';
access_log /dev/stdout json_log;
error_log /dev/stderr warn;
Health and status on separate, access-restricted ports
Keep health checks and metrics off the production port: different access control, no log noise, no interference with real traffic. Restrict to internal networks and turn off access logging.
server { # load balancer health check
listen 82;
allow 10.0.0.0/8; allow 172.16.0.0/12; allow 127.0.0.1; deny all;
location /health { access_log off; return 200 "OK"; }
}
server { # stub_status for Prometheus/Datadog
listen 81;
allow 10.0.0.0/8; allow 127.0.0.1; deny all;
location /nginx_status { stub_status on; }
}
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.
- 2mo ago First seen · 149 lines · 108 tokens per session scan A 477331bcdd16
nginx is a skill published in the GitHub repository TheDecipherist/claude-code-mastery-project-starter-kit (342 stars, last pushed 4mo ago), licensed MIT. It adds 108 tokens to every session and 1,853 once invoked, about $0.0004 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.
nginx compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nginxTheDecipherist/claude-code-mastery-project-starter-kit | Skill | 342 | 4mo ago | MIT | A | 108 | Claude Code |
| apify-actor-developmentsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 27 | Claude Code |
| dynamo-recipe-runnerNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 49 | Claude Code, Codex |
| enterpriseww-w-ai/bkit-claude-code | Skill | 605 | 7d ago | Apache-2.0 | A | 106 | Claude Code |
| gcp-essentialsericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 91 | Claude Code, Codex |
| deployoliver-kriska/claude-elixir-phoenix | Skill | 574 | yesterday | MIT | A | 46 | Claude Code |
| vss-setup-video-analytics-apiNVIDIA-AI-Blueprints/video-search-and-summarization | Skill | 2.0k | yesterday | Apache-2.0 | B | 52 | Claude Code, Codex |